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Teamwork makes the stream work.
Roku is changing how the world watches TV
Roku is the #1 TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers.
From your first day at Roku, you'll make a valuable - and valued - contribution. We're a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines.
About the team
The mission of Roku's Data Engineering team is to develop a world-class big data platform so that internal and external customers can leverage data to grow their businesses. Data Engineering works closely with business partners and Engineering teams to collect metrics on existing and new initiatives that are critical to business success. As Senior Data Engineer working on Device metrics, you will design data models & develop scalable data pipelines to capturing different business metrics across different Roku Devices.
About the role
Roku pioneered streaming to the TV. We connect users to the streaming content they love, enable content publishers to build and monetise large audiences, and provide advertisers with unique capabilities to engage consumers. Roku streaming players and Roku TV™ models are available around the world through direct retail sales and licensing arrangements with TV brands and pay-TV operators.With tens of million players sold across many countries, thousands of streaming channels and billions of hours watched over the platform, building scalable, highly available, fault-tolerant, big data platform is critical for our success.This role is based in Bangalore, India and requires hybrid working, with 4 days in the office.
What you'll be doing
- Build highly scalable, available, fault-tolerant distributed data processing systems (batch and streaming systems) processing over 10s of terabytes of data ingested every day and petabyte-sized data warehouse
- Build quality data solutions and refine existing diverse datasets to simplified data models encouraging self-service
- Build data pipelines that optimise on data quality and are resilient to poor quality data sources
- Own the data mapping, business logic, transformations and data quality
- Low level systems debugging, performance measurement & optimization on large production clusters
- Participate in architecture discussions, influence product roadmap, and take ownership and responsibility over new projects
- Maintain and support existing platforms and evolve to newer technology stacks and architectures
We're excited if you have
- Extensive SQL Skills
- Proficiency in at least one scripting language, Python is required
- Experience in big data technologies like HDFS, YARN, Map-Reduce, Hive, Kafka, Spark, Airflow, Presto, etc.
- Proficiency in data modeling, including designing, implementing, and optimizing conceptual, logical, and physical data models to support scalable and efficient data architectures.
- Experience with AWS, GCP, Looker is a plus
- Collaborate with cross-functional teams such as developers, analysts, and operations to execute deliverables
- 8+ years professional experience as a data Engineer
- BS in Computer Science; MS in Computer Science preferred
- AI Literacy / AI growth mindset
#LI-AG18
Our Hybrid Work Approach
Roku fosters an inclusive and collaborative environment where teams work in the office Monday through Thursday. Fridays are flexible for remote work except for employees whose roles are required to be in the office five days a week or employees who are in offices with a five day in office policy.
Benefits
Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include global access to mental health and financial wellness support and resources. Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension). Employees are supported in taking time off, in accordance with local leave policies and other personal needs to support their evolving work and life needs. It's important to note that not every benefit is available in all locations or for every role. For details specific to your location, please consult with your recruiter.
Accommodations
Roku welcomes applicants of all backgrounds and provides reasonable accommodations and adjustments in accordance with applicable law. If you require reasonable accommodation at any point in the hiring process, please direct your inquiries to EmployeeRelations@Roku.com.
The Roku Culture
Roku is a great place for people who want to work in a fast-paced environment where everyone is focused on the company's success rather than their own. We try to surround ourselves with people who are great at their jobs, who are easy to work with, and who keep their egos in check. We appreciate a sense of humor. We believe a fewer number of very talented folks can do more for less cost than a larger number of less talented teams. We're independent thinkers with big ideas who act boldly, move fast and accomplish extraordinary things through collaboration and trust. In short, at Roku you'll be part of a company that's changing how the world watches TV.
We have a unique culture that we are proud of. We think of ourselves primarily as problem-solvers, which itself is a two-part idea. We come up with the solution, but the solution isn't real until it is built and delivered to the customer. That penchant for action gives us a pragmatic approach to innovation, one that has served us well since 2002.
To learn more about Roku, our global footprint, and how we've grown, visit https://www.weareroku.com/factsheet.
By providing your information, you acknowledge that you want Roku to contact you about job roles, that you have read Roku's Applicant Privacy Notice, and understand that Roku will use your information as described in that notice. If you do not wish to receive any communications from Roku regarding this role or similar roles in the future, you may unsubscribe at any time by emailing WorkforcePrivacy@Roku.com.
Ready to apply?
Apply to Roku
Teamwork makes the stream work.
Roku is changing how the world watches TV
Roku is the #1 TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers.
From your first day at Roku, you'll make a valuable - and valued - contribution. We're a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines.
About the team
The mission of Roku's Data Engineering team is to develop a world-class big data platform so that internal and external customers can leverage data to grow their businesses. Data Engineering works closely with business partners and Engineering teams to collect metrics on existing and new initiatives that are critical to business success. As Senior Data Engineer working on Device metrics, you will design data models & develop scalable data pipelines to capturing different business metrics across different Roku Devices.
About the role
Roku pioneered streaming to the TV. We connect users to the streaming content they love, enable content publishers to build and monetise large audiences, and provide advertisers with unique capabilities to engage consumers. Roku streaming players and Roku TV™ models are available around the world through direct retail sales and licensing arrangements with TV brands and pay-TV operators.With tens of million players sold across many countries, thousands of streaming channels and billions of hours watched over the platform, building scalable, highly available, fault-tolerant, big data platform is critical for our success.This role is based in Bangalore, India and requires hybrid working, with 4 days in the office.
What you'll be doing
- Build highly scalable, available, fault-tolerant distributed data processing systems (batch and streaming systems) processing over 10s of terabytes of data ingested every day and petabyte-sized data warehouse
- Build quality data solutions and refine existing diverse datasets to simplified data models encouraging self-service
- Build data pipelines that optimise on data quality and are resilient to poor quality data sources
- Own the data mapping, business logic, transformations and data quality
- Low level systems debugging, performance measurement & optimization on large production clusters
- Participate in architecture discussions, influence product roadmap, and take ownership and responsibility over new projects
- Maintain and support existing platforms and evolve to newer technology stacks and architectures
We're excited if you have
- Extensive SQL Skills
- Proficiency in at least one scripting language, Python is required
- Experience in big data technologies like HDFS, YARN, Map-Reduce, Hive, Kafka, Spark, Airflow, Presto, etc.
- Proficiency in data modeling, including designing, implementing, and optimizing conceptual, logical, and physical data models to support scalable and efficient data architectures.
- Experience with AWS, GCP, Looker is a plus
- Collaborate with cross-functional teams such as developers, analysts, and operations to execute deliverables
- 8+ years professional experience as a data Engineer
- BS in Computer Science; MS in Computer Science preferred
- AI Literacy / AI growth mindset
#LI-AG18
Our Hybrid Work Approach
Roku fosters an inclusive and collaborative environment where teams work in the office Monday through Thursday. Fridays are flexible for remote work except for employees whose roles are required to be in the office five days a week or employees who are in offices with a five day in office policy.
Benefits
Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include global access to mental health and financial wellness support and resources. Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension). Employees are supported in taking time off, in accordance with local leave policies and other personal needs to support their evolving work and life needs. It's important to note that not every benefit is available in all locations or for every role. For details specific to your location, please consult with your recruiter.
Accommodations
Roku welcomes applicants of all backgrounds and provides reasonable accommodations and adjustments in accordance with applicable law. If you require reasonable accommodation at any point in the hiring process, please direct your inquiries to EmployeeRelations@Roku.com.
The Roku Culture
Roku is a great place for people who want to work in a fast-paced environment where everyone is focused on the company's success rather than their own. We try to surround ourselves with people who are great at their jobs, who are easy to work with, and who keep their egos in check. We appreciate a sense of humor. We believe a fewer number of very talented folks can do more for less cost than a larger number of less talented teams. We're independent thinkers with big ideas who act boldly, move fast and accomplish extraordinary things through collaboration and trust. In short, at Roku you'll be part of a company that's changing how the world watches TV.
We have a unique culture that we are proud of. We think of ourselves primarily as problem-solvers, which itself is a two-part idea. We come up with the solution, but the solution isn't real until it is built and delivered to the customer. That penchant for action gives us a pragmatic approach to innovation, one that has served us well since 2002.
To learn more about Roku, our global footprint, and how we've grown, visit https://www.weareroku.com/factsheet.
By providing your information, you acknowledge that you want Roku to contact you about job roles, that you have read Roku's Applicant Privacy Notice, and understand that Roku will use your information as described in that notice. If you do not wish to receive any communications from Roku regarding this role or similar roles in the future, you may unsubscribe at any time by emailing WorkforcePrivacy@Roku.com.
Ready to apply?
Apply to Roku
Teamwork makes the stream work.
Roku is changing how the world watches TV
Roku is the #1 TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers.
From your first day at Roku, you'll make a valuable - and valued - contribution. We're a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines.
About the Team
Roku pioneered TV streaming and continues to innovate and lead the industry. Continued success relies on investing in the Roku Content Platform, so we deliver high quality streaming TV experience at a global scale. As part of our Content Platform team you join a small group of highly skilled engineers, that own significant responsibility in crafting, developing and maintaining our large-scale backend systems, data pipelines, storage, and processing services. We provide all insights in regard to all content on Roku Devices.
About the Role
We are looking for a Senior Software Engineer with vast experience in backend development, Data Engineering and Data Analytics to focus on building next level content platform and data intelligence, which empowers Search, Recommendation, and many more critical systems across Roku Platform. This is an excellent role for a senior professional who enjoys a high level of visibility, thrives on having a critical business impact, able to make critical decisions and is excited to work on a core data platform component which is crucial for many streaming components at Roku.
What You’ll Be Doing
- Work closely with product management team, content data platform services, and other internal consumer teams to contribute extensively to our content data platform and underlying architecture.
- Build low-latency and optimized streaming and batch data pipelines to enable downstream services.
- Build and support our Micro-services based Event-Driven Backend Systems & Data Platform.
- Design and build data pipelines for batch, near-real-time, and real-time processing.
- Participate in architecture discussions, influence product roadmap, and take ownership and responsibility over new projects.
We’re excited if you have
- 8+ years professional experience as a Software Engineer.
- Proficiency in Java/Scala/Python.
- Deep understanding of backend technologies, architecture patterns, and best practices, including microservices, RESTful APIs, message queues, caching, and databases.
- Strong analytical and problem-solving skills, data structures and algorithms, with the ability to translate complex technical requirements into scalable and efficient solutions.
- Experience with Micro-service and event-driven architectures.
- Experience with Apache Spark and Apache Flink.
- Experience with Big Data Frameworks and Tools: MapReduce, Hive, Presto, HDFS, YARN, Kafka, etc.
- Experience with Apache Airflow or similar workflow orchestration tooling for ETL.
- Experience with cloud platforms: AWS (preferred), GCP, etc.
- Strong communication and presentation skills.
- BS in Computer Science; MS in Computer Science preferred.
- AI literacy and curiosity.You have either tried Gen AI in your previous work or outside of work or are curious about Gen AI and have explored it.
#LI-SJ1
Our Hybrid Work Approach
Roku fosters an inclusive and collaborative environment where teams work in the office Monday through Thursday. Fridays are flexible for remote work except for employees whose roles are required to be in the office five days a week or employees who are in offices with a five day in office policy.
Benefits
Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include global access to mental health and financial wellness support and resources. Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension). Employees are supported in taking time off, in accordance with local leave policies and other personal needs to support their evolving work and life needs. It's important to note that not every benefit is available in all locations or for every role. For details specific to your location, please consult with your recruiter.
Accommodations
Roku welcomes applicants of all backgrounds and provides reasonable accommodations and adjustments in accordance with applicable law. If you require reasonable accommodation at any point in the hiring process, please direct your inquiries to EmployeeRelations@Roku.com.
The Roku Culture
Roku is a great place for people who want to work in a fast-paced environment where everyone is focused on the company's success rather than their own. We try to surround ourselves with people who are great at their jobs, who are easy to work with, and who keep their egos in check. We appreciate a sense of humor. We believe a fewer number of very talented folks can do more for less cost than a larger number of less talented teams. We're independent thinkers with big ideas who act boldly, move fast and accomplish extraordinary things through collaboration and trust. In short, at Roku you'll be part of a company that's changing how the world watches TV.
We have a unique culture that we are proud of. We think of ourselves primarily as problem-solvers, which itself is a two-part idea. We come up with the solution, but the solution isn't real until it is built and delivered to the customer. That penchant for action gives us a pragmatic approach to innovation, one that has served us well since 2002.
To learn more about Roku, our global footprint, and how we've grown, visit https://www.weareroku.com/factsheet.
By providing your information, you acknowledge that you want Roku to contact you about job roles, that you have read Roku's Applicant Privacy Notice, and understand that Roku will use your information as described in that notice. If you do not wish to receive any communications from Roku regarding this role or similar roles in the future, you may unsubscribe at any time by emailing WorkforcePrivacy@Roku.com.
Ready to apply?
Apply to Roku
Teamwork makes the stream work.
Roku is changing how the world watches TV
Roku is the #1 TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers.
From your first day at Roku, you'll make a valuable - and valued - contribution. We're a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines.
About the team
Roku runs one of the largest data lakes in the world. We store over 70 PB of data, run 10+M queries per month, scan over 100 PB of data per month.
Big Data team is the one responsible for building, running, and supporting the platform that makes this possible. We provide all the tools needed to acquire, generate, process, monitor, validate and access the data in the lake for both streaming data and batch. We are also responsible for generating the foundational data. The systems we provide include Scribe, Kafka, Hive, Presto, Spark, Flink, Pinot, and others. The team is actively involved in the Open Source, and we are planning to increase our engagement over time.
About the Role
Roku is in the process of modernizing its Big Data Platform. We are working on defining the new architecture to improve user experience, minimize the cost and increase efficiency. Are you interested in helping us build this state-of-the-art big data platform? Are you an expert with Big Data Technologies? Have you looked under the hood of these systems? Are you interested in Open Source? If you answered “Yes” to these questions, this role is for you!
What you will be doing
- You will be responsible for streamlining and tuning existing Big Data systems and pipelines and building new ones. Making sure the systems run efficiently and with minimal cost is a top priority
- You will be making changes to the underlying systems and if an opportunity arises, you can contribute your work back into the open source
- You will also be responsible for supporting internal customers and on-call services for the systems we host. Making sure we provided stable environment and great user experience is another top priority for the team
We are excited if you have
- 10+ years of production experience building big data platforms based upon Spark, Trino or equivalent
- Strong programming expertise in Java, Scala, Kotlin or another JVM language.
- A robust grasp of distributed systems concepts, algorithms, and data structures
- Strong familiarity with the Apache Hadoop ecosystem: Spark, Kafka, Hive/Iceberg/Delta Lake, Presto/Trino, Pinot, etc.
- Experience working with at least 3 of the technologies/tools mentioned here: Big Data / Hadoop, Kafka, Spark, Trino, Flink, Airflow, Druid, Hive, Iceberg, Delta Lake, Pinot, Storm etc
- Extensive hands-on experience with public cloud AWS or GCP
- BS/MS degree in CS or equivalent
- AI Literacy /AI growth mindset
Our Hybrid Work Approach
Roku fosters an inclusive and collaborative environment where teams work in the office Monday through Thursday. Fridays are flexible for remote work except for employees whose roles are required to be in the office five days a week or employees who are in offices with a five day in office policy.
Benefits
Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include global access to mental health and financial wellness support and resources. Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension). Employees are supported in taking time off, in accordance with local leave policies and other personal needs to support their evolving work and life needs. It's important to note that not every benefit is available in all locations or for every role. For details specific to your location, please consult with your recruiter.
Accommodations
Roku welcomes applicants of all backgrounds and provides reasonable accommodations and adjustments in accordance with applicable law. If you require reasonable accommodation at any point in the hiring process, please direct your inquiries to EmployeeRelations@Roku.com.
The Roku Culture
Roku is a great place for people who want to work in a fast-paced environment where everyone is focused on the company's success rather than their own. We try to surround ourselves with people who are great at their jobs, who are easy to work with, and who keep their egos in check. We appreciate a sense of humor. We believe a fewer number of very talented folks can do more for less cost than a larger number of less talented teams. We're independent thinkers with big ideas who act boldly, move fast and accomplish extraordinary things through collaboration and trust. In short, at Roku you'll be part of a company that's changing how the world watches TV.
We have a unique culture that we are proud of. We think of ourselves primarily as problem-solvers, which itself is a two-part idea. We come up with the solution, but the solution isn't real until it is built and delivered to the customer. That penchant for action gives us a pragmatic approach to innovation, one that has served us well since 2002.
To learn more about Roku, our global footprint, and how we've grown, visit https://www.weareroku.com/factsheet.
By providing your information, you acknowledge that you want Roku to contact you about job roles, that you have read Roku's Applicant Privacy Notice, and understand that Roku will use your information as described in that notice. If you do not wish to receive any communications from Roku regarding this role or similar roles in the future, you may unsubscribe at any time by emailing WorkforcePrivacy@Roku.com.
Ready to apply?
Apply to Roku
Teamwork makes the stream work.
Roku is changing how the world watches TV
Roku is the #1 TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers.
From your first day at Roku, you'll make a valuable - and valued - contribution. We're a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines.
Roku is the #1 TV streaming platform in the US, and we’ve set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers with unique capabilities to engage consumers.
From your first day at Roku, you’ll make a valuable — and valued — contribution. We’re a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers worldwide while gaining meaningful experience across various disciplines.
About the team
Our team’s mission is to build cutting-edge advertising technology to support and help grow sustainable advertising business. The team owns server technologies, reporting infrastructure, data, cloud services, and test engineering for the advertising platforms within Roku. We also work closely with internal and external customers to help them achieve their advertising goals.
About the role
We are looking for an experienced manager to help grow the team, manage priorities, and communicate with stakeholders in an effective way. The role requires excellent communication skills in addition to a strong engineering background. The ideal candidate will have endless curiosity and can pair a global mindset with locally relevant execution. You should be a gritty problem solver and self-starter who can drive programs with the product and commercial teams within Roku and across external strategic partner organizations. The successful candidate will display a balance of hard and soft skills, including the ability to respond quickly to changing business needs.
What you’ll be doing
- Help grow the engineering team
- Build scalable, resilient, and performant distributed systems for data processing, reporting and analytics
- Work across engineering teams, data science, and product management to influence the direction of work and architecture
- Communicate with internal stakeholders to inform and influence requirements and delivery
- Take complete ownership of impactful initiatives and make pragmatic technical decisions.
- Stakeholder management, developing good understanding of advertising business needs, building domain knowledge to understand systems and data better
We’re excited if you have
- 15+ years engineering experience working with modern big data technologies: Spark, Airflow, Scala, Java python, relational databases and related technologies
- 6+ years’ experience leading technical teams and large-scale data processing systems
- Experience building, growing and managing teams
- Subject matter expertise in advertising and data processing
- Solid understanding of data engineering, big data technologies, analytics and data science
- Strong communication skills
- Self-motivated individual with a high level of accountability and ownership
- Critical thinker and practical decision maker
- Can do, results-oriented mindset
- Nonpolitical, collaborative, and team oriented
Our Hybrid Work Approach
Roku fosters an inclusive and collaborative environment where teams work in the office Monday through Thursday. Fridays are flexible for remote work except for employees whose roles are required to be in the office five days a week or employees who are in offices with a five day in office policy.
Benefits
Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include global access to mental health and financial wellness support and resources. Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension). Employees are supported in taking time off, in accordance with local leave policies and other personal needs to support their evolving work and life needs. It's important to note that not every benefit is available in all locations or for every role. For details specific to your location, please consult with your recruiter.
Accommodations
Roku welcomes applicants of all backgrounds and provides reasonable accommodations and adjustments in accordance with applicable law. If you require reasonable accommodation at any point in the hiring process, please direct your inquiries to EmployeeRelations@Roku.com.
The Roku Culture
Roku is a great place for people who want to work in a fast-paced environment where everyone is focused on the company's success rather than their own. We try to surround ourselves with people who are great at their jobs, who are easy to work with, and who keep their egos in check. We appreciate a sense of humor. We believe a fewer number of very talented folks can do more for less cost than a larger number of less talented teams. We're independent thinkers with big ideas who act boldly, move fast and accomplish extraordinary things through collaboration and trust. In short, at Roku you'll be part of a company that's changing how the world watches TV.
We have a unique culture that we are proud of. We think of ourselves primarily as problem-solvers, which itself is a two-part idea. We come up with the solution, but the solution isn't real until it is built and delivered to the customer. That penchant for action gives us a pragmatic approach to innovation, one that has served us well since 2002.
To learn more about Roku, our global footprint, and how we've grown, visit https://www.weareroku.com/factsheet.
By providing your information, you acknowledge that you want Roku to contact you about job roles, that you have read Roku's Applicant Privacy Notice, and understand that Roku will use your information as described in that notice. If you do not wish to receive any communications from Roku regarding this role or similar roles in the future, you may unsubscribe at any time by emailing WorkforcePrivacy@Roku.com.
Ready to apply?
Apply to Roku
Teamwork makes the stream work.
Roku is changing how the world watches TV
Roku is the #1 TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers.
From your first day at Roku, you'll make a valuable - and valued - contribution. We're a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines.
About the role
Our Search Platform sits at the heart of the Roku experience, powering voice, text, and visual discovery across 100M+ active accounts and every Roku-powered device worldwide.
We own the entire stack —from ingesting & enriching a multi-million-title knowledge graph, to low-latency retrieval services and large-scale machine-learning systems that personalize results in real time. Our work doesn’t just help users find shows; it drives core product surfaces (home-screen rows, browse hubs, Roku Voice, mobile app search) and fuels partner monetization. If you enjoy turning cutting-edge research into products used billions of times a day, you’ll thrive here.
Roku’s footprint has more than quadrupled in the past five years, and user expectations have leaped just as fast—think LLM-based query understanding, vector-DB retrieval, on-device models, and multimodal search (voice, text, image). We’re now rebuilding our relevance stack for the next decade, blending classic IR with generative-AI techniques. You will be a technical leader spearheading that transformation.
What you'll be doing
- Apply state of the art ML on search using techniques in deep learning, bandits, transformers, LLMs, causal inference, and optimizations to make our users more delighted and engaged on the platform
- Run online AB tests and analyze them against the critical business KPIs
- Collaborate with US engineering teams as well as cross-functional teams to translate business requirements into technical specifications
- Nurture our ML ecosystem to make it withstand scale, developer velocity and future business shifts
- Provide technical leadership to drive technical and ML roadmap for search ranking and monetization
- Help recruiting new engineers. Interview, train, and mentor new team members
We're excited if you have - 7+ years of experience (or PhD with 5 years of experience) applying Machine Learning to concrete problems at large-scale in domains like recommendation or search or ads
- Strong CS fundamentals. Should be able covert ideas to code with ease
- Good understanding of machine learning fundamentals like classification, deep neural nets, and sequence-based models. Familiarity with modern NLP stack and multi-modal representation learning is a plus
- We'd love to see that you've worked with big data systems (Spark, S3, and Airflow) and can program (Java, Scala, or Python)
- Good understanding of system architecture
- Experience in big data technologies and streaming architecture, data pipelines, etc.
- MS in Computer Science, Statistics, or related field, but a Ph.D. in CS or related fields is preferred
- AI literacy and curiosity.You have either tried Gen AI in your previous work or outside of work or are curious about Gen AI and have explored it.
#LI-AK1
Our Hybrid Work Approach
Roku fosters an inclusive and collaborative environment where teams work in the office Monday through Thursday. Fridays are flexible for remote work except for employees whose roles are required to be in the office five days a week or employees who are in offices with a five day in office policy.
Benefits
Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include global access to mental health and financial wellness support and resources. Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension). Employees are supported in taking time off, in accordance with local leave policies and other personal needs to support their evolving work and life needs. It's important to note that not every benefit is available in all locations or for every role. For details specific to your location, please consult with your recruiter.
Accommodations
Roku welcomes applicants of all backgrounds and provides reasonable accommodations and adjustments in accordance with applicable law. If you require reasonable accommodation at any point in the hiring process, please direct your inquiries to EmployeeRelations@Roku.com.
The Roku Culture
Roku is a great place for people who want to work in a fast-paced environment where everyone is focused on the company's success rather than their own. We try to surround ourselves with people who are great at their jobs, who are easy to work with, and who keep their egos in check. We appreciate a sense of humor. We believe a fewer number of very talented folks can do more for less cost than a larger number of less talented teams. We're independent thinkers with big ideas who act boldly, move fast and accomplish extraordinary things through collaboration and trust. In short, at Roku you'll be part of a company that's changing how the world watches TV.
We have a unique culture that we are proud of. We think of ourselves primarily as problem-solvers, which itself is a two-part idea. We come up with the solution, but the solution isn't real until it is built and delivered to the customer. That penchant for action gives us a pragmatic approach to innovation, one that has served us well since 2002.
To learn more about Roku, our global footprint, and how we've grown, visit https://www.weareroku.com/factsheet.
By providing your information, you acknowledge that you want Roku to contact you about job roles, that you have read Roku's Applicant Privacy Notice, and understand that Roku will use your information as described in that notice. If you do not wish to receive any communications from Roku regarding this role or similar roles in the future, you may unsubscribe at any time by emailing WorkforcePrivacy@Roku.com.
Ready to apply?
Apply to Roku
Teamwork makes the stream work.
Roku is changing how the world watches TV
Roku is the #1 TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers.
From your first day at Roku, you'll make a valuable - and valued - contribution. We're a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines.
About the Team
The DMP team plays a critical role in Roku’s Advertising organization, leading initiatives around audience management that power decision-making across the advertising ecosystem. We develop and manage products that enable advanced segmentation and audience management for advertisers while meeting the operational needs of internal teams. We work closely with Product Managers, Machine Learning, Ad Sales, Ads Operations, and multiple groups within Advertising Engineering to deliver high-impact solutions.Looking ahead, we are exploring AI-driven capabilities to further enhance the effectiveness of advertising campaigns and improve operational efficiency of our platforms.
About the Role
We are seeking a highly skilled Senior Software Engineer with deep expertise in big data technologies, including Apache Spark and Apache Airflow. This hybrid position bridges software engineering and data engineering, requiring the ability to design, build, and maintain scalable systems for both application development and large-scale data processing.In this role, you will collaborate with cross-functional teams to architect and manage robust, production-grade data products and APIs that power critical capabilities across the advertising platform. You will work with technologies such as Apache Spark, Apache Airflow, ScyllaDB/Cassandra, Aerospike, Kubernetes, and SpringBoot to deliver reliable, high-performance solutions. The ideal candidate is a proactive, self-motivated professional with a strong track record in building high-scale data services and a dedication to delivering exceptional results.
What You’ll Be Doing
Software Development
-
Design and build APIs and backend services using Spring Boot to support data products and audience management workflows.
-
Write clean, maintainable, and efficient code, ensuring adherence to best practices through code reviews.
Big Data Engineering
-
Design, develop, and maintain data pipelines and ETL workflows using Apache Spark and Apache Airflow.
-
Optimize data storage, retrieval, and processing systems to ensure reliability, scalability, and performance.
-
Develop and fine-tune complex queries using Apache Spark for large-scale datasets.
-
Monitor, troubleshoot, and improve data systems to minimize downtime and maximize efficiency.
API and Platform Development
-
Design, Development, and maintain large scale, low latency API systems using SpringBoot and Kubernetes
-
Maintain NoSQL Infrastructure including ScyllaDB and Aerospike
Collaboration & Mentorship
-
Partner with the machine learning team, software engineers, and other teams to deliver integrated, high-quality solutions.
-
Provide technical guidance and mentorship to junior engineers, promoting best practices in software and data engineering.
We’re Excited If You Have
-
Bachelor's degree in computer science, Engineering, or a related field (or equivalent experience).
-
8+ years of experience in software and/or data engineering with expertise in big data technologies such as Apache Spark, Apache Airflow.
-
Expertise in developing low latency APIs
-
Strong understanding of SOLID principles and distributed systems architecture.
-
Proven experience in distributed data processing, data warehousing, and real-time data pipelines.
-
Advanced SQL skills, with expertise in query optimization for large datasets.
-
Exceptional problem-solving abilities and the capacity to work independently or collaboratively.
-
Excellent verbal and written communication skills.
-
Experience with cloud platforms such as AWS, GCP, or Azure, and containerization tools like Docker and Kubernetes. (preferred)
-
Experience in AdTech, in advertising data platforms and audience management. (preferred)
-
Strong programming skills in Python, Java, and/or Scala. (preferred)
-
Knowledge of CI/CD pipelines, DevOps practices, and infrastructure-as-code tools (e.g., Jenkins & Terraform). (preferred)
-
Expertise in developing low latency APIs
-
Experience with building Agentic AI systems to automate decision-making and enhance analytics workflows. (preferred)
-
Experience in AdTech, in advertising data platforms and audience management. (preferred)
Our Hybrid Work Approach
Roku fosters an inclusive and collaborative environment where teams work in the office Monday through Thursday. Fridays are flexible for remote work except for employees whose roles are required to be in the office five days a week or employees who are in offices with a five day in office policy.
Benefits
Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include global access to mental health and financial wellness support and resources. Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension). Employees are supported in taking time off, in accordance with local leave policies and other personal needs to support their evolving work and life needs. It's important to note that not every benefit is available in all locations or for every role. For details specific to your location, please consult with your recruiter.
Accommodations
Roku welcomes applicants of all backgrounds and provides reasonable accommodations and adjustments in accordance with applicable law. If you require reasonable accommodation at any point in the hiring process, please direct your inquiries to EmployeeRelations@Roku.com.
The Roku Culture
Roku is a great place for people who want to work in a fast-paced environment where everyone is focused on the company's success rather than their own. We try to surround ourselves with people who are great at their jobs, who are easy to work with, and who keep their egos in check. We appreciate a sense of humor. We believe a fewer number of very talented folks can do more for less cost than a larger number of less talented teams. We're independent thinkers with big ideas who act boldly, move fast and accomplish extraordinary things through collaboration and trust. In short, at Roku you'll be part of a company that's changing how the world watches TV.
We have a unique culture that we are proud of. We think of ourselves primarily as problem-solvers, which itself is a two-part idea. We come up with the solution, but the solution isn't real until it is built and delivered to the customer. That penchant for action gives us a pragmatic approach to innovation, one that has served us well since 2002.
To learn more about Roku, our global footprint, and how we've grown, visit https://www.weareroku.com/factsheet.
By providing your information, you acknowledge that you want Roku to contact you about job roles, that you have read Roku's Applicant Privacy Notice, and understand that Roku will use your information as described in that notice. If you do not wish to receive any communications from Roku regarding this role or similar roles in the future, you may unsubscribe at any time by emailing WorkforcePrivacy@Roku.com.
Ready to apply?
Apply to Roku
Teamwork makes the stream work.
Roku is changing how the world watches TV
Roku is the #1 TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers.
From your first day at Roku, you'll make a valuable - and valued - contribution. We're a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines.
About the Team
The Data Insights team plays a critical role in Roku’s Advertising organization, leading measurement and analytics initiatives that power decision-making across the advertising ecosystem. We develop and manage products that deliver actionable insights for advertisers while meeting the operational and analytical needs of internal teams.We work closely with Product Managers, Data Science, Ad Sales, Ads Operations, and multiple groups within Advertising Engineering to deliver high-impact solutions. Looking ahead, we are exploring AI-driven measurement capabilities to further enhance the effectiveness of advertising campaigns and strengthen internal analytics.
About the Role
We are seeking a highly skilled Senior Software Engineer with deep expertise in big data technologies, including Apache Spark and Apache Airflow. This hybrid position bridges software engineering and data engineering, requiring the ability to design, build, and maintain scalable systems for both application development and large-scale data processing.In this role, you will collaborate with cross-functional teams to architect and manage robust, production-grade data products that power critical analytics and measurement capabilities. You will work with technologies such as Apache Spark, Apache Airflow, Trino, Druid, Spring Boot, StarRocks, and Looker to deliver reliable, high-performance solutions.The ideal candidate is a proactive, self-motivated professional with a strong track record in building high-scale data services and a dedication to delivering exceptional results.
What You’ll Be Doing
Software Development
-
Design and build APIs and backend services using Spring Boot to support data products and analytics workflows.
-
Write clean, maintainable, and efficient code, ensuring adherence to best practices through code reviews.
Big Data Engineering
-
Design, develop, and maintain data pipelines and ETL workflows using Apache Spark and Apache Airflow.
-
Optimize data storage, retrieval, and processing systems to ensure reliability, scalability, and performance.
-
Develop and fine-tune complex queries and analytics solutions using Druid, Trino, and StarRocks for large-scale datasets.
-
Monitor, troubleshoot, and improve data systems to minimize downtime and maximize efficiency.
Collaboration & Mentorship
-
Partner with data scientists, software engineers, and other teams to deliver integrated, high-quality solutions.
-
Provide technical guidance and mentorship to junior engineers, promoting best practices in software and data engineering.
We’re Excited If You Have
-
Bachelor's degree in computer science, Engineering, or a related field (or equivalent experience).
-
8+ years of experience in software and/or data engineering with expertise in big data technologies such as Apache Spark, Apache Airflow.
-
Expertise with atleast one of the following Apache Druid, StarRocks, and Trino.
-
Strong understanding of SOLID principles and distributed systems architecture.
-
Proven experience in distributed data processing, data warehousing, and real-time data pipelines.
-
Advanced SQL skills, with expertise in query optimization for large datasets.
-
Exceptional problem-solving abilities and the capacity to work independently or collaboratively.
-
Excellent verbal and written communication skills.
-
Experience with cloud platforms such as AWS, GCP, or Azure, and containerization tools like Docker and Kubernetes. (preferred)
-
Familiarity with additional big data technologies, including Hadoop and Kafka.
-
Experience in AdTech, in advertising data platforms and campaign measurement. (preferred)
-
Strong programming skills in Python, Java, or Scala. (preferred)
-
Knowledge of CI/CD pipelines, DevOps practices, and infrastructure-as-code tools (e.g., Terraform). (preferred)
-
Expertise in data modeling, schema design, and data visualization tools.
-
Experience with building Agentic AI systems to automate decision-making and enhance analytics workflows. (preferred)
Our Hybrid Work Approach
Roku fosters an inclusive and collaborative environment where teams work in the office Monday through Thursday. Fridays are flexible for remote work except for employees whose roles are required to be in the office five days a week or employees who are in offices with a five day in office policy.
Benefits
Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include global access to mental health and financial wellness support and resources. Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension). Employees are supported in taking time off, in accordance with local leave policies and other personal needs to support their evolving work and life needs. It's important to note that not every benefit is available in all locations or for every role. For details specific to your location, please consult with your recruiter.
Accommodations
Roku welcomes applicants of all backgrounds and provides reasonable accommodations and adjustments in accordance with applicable law. If you require reasonable accommodation at any point in the hiring process, please direct your inquiries to EmployeeRelations@Roku.com.
The Roku Culture
Roku is a great place for people who want to work in a fast-paced environment where everyone is focused on the company's success rather than their own. We try to surround ourselves with people who are great at their jobs, who are easy to work with, and who keep their egos in check. We appreciate a sense of humor. We believe a fewer number of very talented folks can do more for less cost than a larger number of less talented teams. We're independent thinkers with big ideas who act boldly, move fast and accomplish extraordinary things through collaboration and trust. In short, at Roku you'll be part of a company that's changing how the world watches TV.
We have a unique culture that we are proud of. We think of ourselves primarily as problem-solvers, which itself is a two-part idea. We come up with the solution, but the solution isn't real until it is built and delivered to the customer. That penchant for action gives us a pragmatic approach to innovation, one that has served us well since 2002.
To learn more about Roku, our global footprint, and how we've grown, visit https://www.weareroku.com/factsheet.
By providing your information, you acknowledge that you want Roku to contact you about job roles, that you have read Roku's Applicant Privacy Notice, and understand that Roku will use your information as described in that notice. If you do not wish to receive any communications from Roku regarding this role or similar roles in the future, you may unsubscribe at any time by emailing WorkforcePrivacy@Roku.com.
Ready to apply?
Apply to Roku
Teamwork makes the stream work.
Roku is changing how the world watches TV
Roku is the #1 TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers.
From your first day at Roku, you'll make a valuable - and valued - contribution. We're a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines.
About the team
The mission of Roku's Data Engineering team is to develop a world-class big data platform so that internal and external customers can leverage data to grow their businesses. Data Engineering works closely with business partners and Engineering teams to collect metrics on existing and new initiatives that are critical to business success. As Senior Data Engineer working on Device metrics, you will design data models & develop scalable data pipelines to capturing different business metrics across different Roku Devices.
About the role
Roku pioneered streaming to the TV. We connect users to the streaming content they love, enable content publishers to build and monetise large audiences, and provide advertisers with unique capabilities to engage consumers. Roku streaming players and Roku TV™ models are available around the world through direct retail sales and licensing arrangements with TV brands and pay-TV operators.With tens of million players sold across many countries, thousands of streaming channels and billions of hours watched over the platform, building scalable, highly available, fault-tolerant, big data platform is critical for our success.This role is based in Bangalore, India and requires hybrid working, with 3 days in the office.
What you'll be doing
- Build highly scalable, available, fault-tolerant distributed data processing systems (batch and streaming systems) processing over 10s of terabytes of data ingested every day and petabyte-sized data warehouse
- Build quality data solutions and refine existing diverse datasets to simplified data models encouraging self-service
- Build data pipelines that optimise on data quality and are resilient to poor quality data sources
- Own the data mapping, business logic, transformations and data quality
- Low level systems debugging, performance measurement & optimization on large production clusters
- Participate in architecture discussions, influence product roadmap, and take ownership and responsibility over new projects
- Maintain and support existing platforms and evolve to newer technology stacks and architectures
We're excited if you have
- Extensive SQL Skills
- Proficiency in at least one scripting language, Python is required
- Experience in big data technologies like HDFS, YARN, Map-Reduce, Hive, Kafka, Spark, Airflow, Presto, etc.
- Proficiency in data modeling, including designing, implementing, and optimizing conceptual, logical, and physical data models to support scalable and efficient data architectures.
- Experience with AWS, GCP, Looker is a plus
- Collaborate with cross-functional teams such as developers, analysts, and operations to execute deliverables
- 8+ years professional experience as a data Engineer
- BS in Computer Science; MS in Computer Science preferred
- AI Literacy / AI growth mindset
Our Hybrid Work Approach
Roku fosters an inclusive and collaborative environment where teams work in the office Monday through Thursday. Fridays are flexible for remote work except for employees whose roles are required to be in the office five days a week or employees who are in offices with a five day in office policy.
Benefits
Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include global access to mental health and financial wellness support and resources. Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension). Employees are supported in taking time off, in accordance with local leave policies and other personal needs to support their evolving work and life needs. It's important to note that not every benefit is available in all locations or for every role. For details specific to your location, please consult with your recruiter.
Accommodations
Roku welcomes applicants of all backgrounds and provides reasonable accommodations and adjustments in accordance with applicable law. If you require reasonable accommodation at any point in the hiring process, please direct your inquiries to EmployeeRelations@Roku.com.
The Roku Culture
Roku is a great place for people who want to work in a fast-paced environment where everyone is focused on the company's success rather than their own. We try to surround ourselves with people who are great at their jobs, who are easy to work with, and who keep their egos in check. We appreciate a sense of humor. We believe a fewer number of very talented folks can do more for less cost than a larger number of less talented teams. We're independent thinkers with big ideas who act boldly, move fast and accomplish extraordinary things through collaboration and trust. In short, at Roku you'll be part of a company that's changing how the world watches TV.
We have a unique culture that we are proud of. We think of ourselves primarily as problem-solvers, which itself is a two-part idea. We come up with the solution, but the solution isn't real until it is built and delivered to the customer. That penchant for action gives us a pragmatic approach to innovation, one that has served us well since 2002.
To learn more about Roku, our global footprint, and how we've grown, visit https://www.weareroku.com/factsheet.
By providing your information, you acknowledge that you want Roku to contact you about job roles, that you have read Roku's Applicant Privacy Notice, and understand that Roku will use your information as described in that notice. If you do not wish to receive any communications from Roku regarding this role or similar roles in the future, you may unsubscribe at any time by emailing WorkforcePrivacy@Roku.com.
Ready to apply?
Apply to Roku
Who we are
About Stripe
Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.
About the team
The Big Data Infrastructure operates the critical infrastructure that powers the batch data processing at Stripe. The team supports a variety of use cases, including Payment, Ledger, ML, Fraud Detection, Product Analytics, Regulatory Reporting, Financial Data Reconciliation, and externally facing products like Radar and Sigma. As an example of the scale, the team’s systems serve hundreds of teams, thousands of workflows, 100,000+ task executions, O(billion) transformations, and moving terabytes of data processing over 1 GB/second every day. Our users inside Stripe include other engineering teams, Data Scientists, Sales & Operations, Finance, etc.
Data Orchestration builds and operates the time-based and event-based orchestration infrastructure that powers and accelerates batch data pipelines. The team operates on a wide range of tech stacks including Airflow, Spark, SQL, Kafka, Flink, Hive MetaStore, Trino, Pinot, Python, Java, Scala, S3, and Iceberg.
What you’ll do
As a Software Engineer on our team, you will do the following:
- Design, build, and maintain innovative next-generation or first-generation versions of key Data Platform products, with an emphasis on usability, reliability, security, and efficiency.
- Design ergonomic APIs and abstractions that build a great customer experience for internal Stripes, that will in turn enhance the experience of millions of Stripe users.
- Ensure operational excellence and enable a highly available & reliable Data Orchestration platform across batch workloads.
- Collaborate nimbly with high-visibility teams and their stakeholders to support their key initiatives - while building a robust platform that benefits all of Stripe in the long term.
- Plan for the growth of Stripe’s infrastructure by unblocking, supporting, and communicating proactively with internal partners to achieve results. ● Connect your work with improvements in the usability and reliability of Open Source Software (OSS) like Apache Airflow, Iceberg, Spark and contribute back to the OSS community.
Who you are
We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.
Minimum requirements
- 8+ years of professional experience writing high quality production level code or software programs and interest in Data Infrastructure.
- Has experience operating or enabling large-scale, high-availability data pipelines from design, to execution and safe change management. Expertise in Spark, Flink, Spark, Airflow, Python, Java, SQL, and API design is a plus.
- Has experience developing, maintaining, and debugging distributed systems built with open source tools
- Has experience building infrastructure-as-a-product with a strong focus on users needs
- Has strong collaboration and communication skills, and can comfortably interact with both technical and non-technical participants.
- Has the curiosity to continuously learn about new technologies and business processes.
- Is energized by delivering effective, user-first solutions through creative problem-solving and collaboration.
Preferred qualifications
- Has experience writing production-level code in Expertise in Scala, Spark, Flink, Spark, Airflow, Python, Java, and SQL is a plus.
- Has experience designing APIs or building developer platforms ● Has experience optimizing the end to end performance of distributed systems ● Has experience with scaling distributed systems in a rapidly moving environment ● Has experience working with Airflow Infrastructure.
- Genuine enjoyment of innovation and a deep interest in understanding how things work
Office-assigned Stripes spend at least 50% of the time in a given month in their local office or with users. This hits a balance between bringing people together for in-person collaboration and learning from each other, while supporting flexibility about how to do this in a way that makes sense for individuals and their teams.
Office location - Bengaluru , KA, India
Ready to apply?
Apply to Stripe
Who we are
About Stripe
Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.
About the team
We are experts in data, working to make it cost-effective, understandable, and trustworthy. We build pipelines processing billions of events a day and are stewards of canonical data warehouses and datasets delivering products for Stripe Users while embedding with teams to build their data products. We are experts in using the Stripe Data Platform and to scale we lead the data culture and data education to enable product teams to own their data. We invest in [AI] Data Ops to scale incident handling and serve as an escalation path for data incidents to minimize their impact. The Data Engineering Solutions team will work closely with product teams delivering trustworthy data / backend code / and innovative (AI) tools/platforms/services for data.
What you’ll do
We're looking for a person who could drive the Data Engineering Solutions Team in solving high-impact, cutting-edge data problems. The ideal candidate will be someone that has built data pipelines for large scale volume, is deeply knowledgeable of Data Engineering tools including Airflow/Spark/Kafka/Flink, is empathetic, excels at building strong relationships, and collaborates effectively with other Stripe teams to understand their use cases and unlock new capabilities.
You will:
- Lead the technical outcomes for a team of ambitious, talented engineers, providing mentorship, guidance, and support to ensure their success.
- Partner with our recruiting team to attract and hire top talent.
- Deliver cutting-edge data pipelines that scale to users' needs, focusing on reliability and efficiency.
- Develop strong subject matter expertise and manage the SLAs of data pipelines and full stack web applications that support critical stakeholders.
- Collaborate with product managers and peers across the company to create/improve canonical datasets and data warehouses, use golden paths, and ensure Stripes and customers are using trustworthy data.
- Leverage AI/LLM and Agents at scale to produce and analyze high-quality data on ambiguous problems
- Have an opportunity to work with Spark, Flink, Kafka, Trino, Pinot, Airflow, Scala, Java, SQL, and Python and many other big data technologies.
- Have the opportunity to drive the execution of key data initiatives for Stripe, overseeing the entire development lifecycle from planning to delivery while maintaining high standards of quality and timely completion.
- Foster a collaborative and inclusive work environment, promoting innovation, knowledge sharing, and continuous improvement within the team.
Who you are
We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.
Minimum requirements
We’re looking for someone who has:
- 10+ Years of engineering experience with 5+ Years of hands-on experience building+operating data systems/pipelines, datasets/data warehouses, infrastructure, and leading small teams to deliver exceptional solutions.
- A strong engineering background and passion for data.
- Prior experience with writing and debugging data pipelines using a distributed data framework (Spark / Hadoop / Trino / etc)
- An inquisitive nature in diving into data inconsistencies to pinpoint issues, and resolve deep rooted data quality issues
- Knowledge of a backend development language (such as Scala, Java, or Go) and strong SQL experience
- Extreme customer focus, with a commitment to partnering with Product Managers, leaders, and other Stripe engineers to understand their use cases.
- Effective cross-functional collaboration, with the ability to think rigorously, communicate clearly, and make or coordinate difficult decisions and trade-offs.
- Thrive with high autonomy and responsibility in an ambiguous environment.
- Ability to foster and work in a healthy, inclusive, challenging, and supportive work environment.
Preferred qualifications
- Expertise in Iceberg, Kafka, Change Data Capture, Flink, Spark, Airflow, Hive Metastore, Pinot, Trino, AWS Cloud, and influencing open-source contributions is a plus.
- Experience creating and maintaining Data Marts / Data Warehouses to power business reporting needs
- Experience working with Product or Go-To-Market (GTM - Sales/Marketing) teams
- Genuine enjoyment of innovation and a deep interest in understanding how things work, with the ability to question and direct architectural decisions.
- Strong written and verbal communication skills for various audiences, including leadership, users, and company-wide.
Ready to apply?
Apply to Stripe
Who we are
About Stripe
Stripe is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career.
About the team
Role Overview
We are seeking an analytically-driven Data Analyst to join our Finance & Strategy team at Stripe. This role bridges the gap between data science and financial planning, requiring someone who can transform complex business data into actionable financial insights. You will build sophisticated dashboards, develop predictive models, and serve as the technical backbone for our FP&A and GTM analytics initiatives. This is a unique opportunity for a data professional with financial acumen to directly influence strategic business decisions in a high-growth fintech environment.
What You'll Do
Financial Data Analytics & Modeling
- Design, build, and maintain financial dashboards for FP&A, Revenue Operations, and GTM teams using Tableau, Power BI, or Looker
- Develop automated financial reporting solutions that reduce manual effort and improve data accuracy
- Create sophisticated data models to support budgeting, forecasting, variance analysis, and scenario planning
- Build predictive models for revenue forecasting, customer lifetime value, churn analysis, and unit economics
Business Intelligence & Reporting
- Partner with Finance Business Partners and FP&A teams to translate business requirements into technical solutions
- Design and implement data infrastructure for financial planning cycles (monthly/quarterly reviews, annual budgets, long-range planning)
- Develop self-service analytics capabilities enabling finance teams to access real-time business insights
- Create executive dashboards tracking key financial and operational metrics (ARR, bookings, retention, CAC, LTV)
Data Engineering & Analytics Infrastructure
- Write complex SQL queries to extract, transform, and analyze large datasets from multiple source systems
- Build ETL pipelines to integrate financial data from ERP, CRM, billing, and data warehouse systems
- Ensure data quality, consistency, and governance across financial reporting systems
- Optimize database performance and data architecture for scalability
Strategic Analysis & Insights
- Conduct deep-dive analyses on business performance, identifying trends, anomalies, and opportunities
- Support strategic initiatives through ad-hoc financial modeling and what-if scenario analysis
- Translate complex data findings into clear, actionable recommendations for leadership
- Collaborate with Data Science teams to develop advanced analytics and ML models for finance use cases
Required Qualifications
Technical Skills
- Must Have: Advanced SQL proficiency (complex joins, window functions, CTEs, query optimization)
- Must Have: Expert-level experience with at least one BI tool (Tableau, Power BI, Looker, or Qlik)
- Must Have: Advanced Excel/Google Sheets skills (pivot tables, complex formulas, data modeling)
- Preferred: Python or R for data analysis, automation, and statistical modeling
- Preferred: Experience with cloud data platforms (Snowflake, BigQuery, Redshift, Databricks)
- Preferred: Knowledge of ETL tools (dbt, Airflow, Fivetran) and version control (Git)
Financial & Business Acumen
- Experience in data analytics within finance, FP&A, or revenue operations functions
- Strong understanding of financial statements (P&L, balance sheet, cash flow)
- Knowledge of key financial metrics: ARR, MRR, bookings, revenue recognition, CAC, LTV, gross margin, EBITDA
- Experience with financial planning processes: budgeting, forecasting, variance analysis, scenario modeling
- Understanding of SaaS/subscription business models and revenue recognition principles (ASC 606 preferred)
Analytical & Problem-Solving
- Proven ability to work with large, complex datasets and derive meaningful insights
- Experience building financial models and dashboards that drive executive decision-making
- Strong statistical analysis skills and understanding of data visualization best practices
- Track record of translating ambiguous business problems into structured analytical frameworks
Preferred Experience
- Background in fintech, payments, B2B SaaS, or high-growth technology companies
- Experience supporting GTM analytics (sales forecasting, pipeline analysis, quota setting)
- Familiarity with finance systems: NetSuite, Anaplan, Adaptive Planning, Salesforce, Stripe Billing
- Exposure to data science methodologies and machine learning concepts
- Previous work in cross-functional environments collaborating with finance, data science, and business teams
Key Competencies
- Business Acumen: Ability to understand complex business models and translate them into data requirements
- Technical Excellence: Deep technical skills with commitment to code quality and best practices
- Communication: Exceptional ability to explain technical concepts to non-technical stakeholders
- Stakeholder Management: Experience partnering with senior leaders and influencing through data
- Ownership Mindset: Self-directed with ability to manage multiple priorities and drive projects to completion
- Continuous Learning: Curiosity to learn new tools, techniques, and business domains
- Attention to Detail: Commitment to data accuracy and quality in high-stakes financial reporting
Education
- Bachelor's degree in Finance, Economics, Statistics, Mathematics, Computer Science, Engineering, or related quantitative field
- Advanced degree (MBA, MS in Analytics/Data Science) or relevant certifications (CFA, CPA, data analytics certifications) a plus
What Makes This Role Unique This position sits at the intersection of data engineering, business intelligence, and strategic finance. You'll have the autonomy to architect solutions that shape how Stripe makes multi-million dollar decisions, while working with cutting-edge data technologies and some of the brightest minds in fintech. If you're energized by the prospect of building the analytics infrastructure that powers a global payments platform, this role is for you.
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Apply to Stripe
Who We Are
About Stripe
Stripe is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.
About the Team
The Batch Compute Infrastructure team at Stripe manages the foundational infrastructure, tooling, and distributed systems behind Stripe's massive-scale batch processing environments, currently encompassing over 5,000 computational nodes. Powered primarily by Hadoop, Spark, and Celeborn, these systems are the backbone for several core asynchronous financial, analytical, and regulatory workflows at Stripe, operating at petabyte scale.
What you’ll do -
You will support a team of engineers focused on building the tooling, infra and systems for operating Spark, Hadoop and Celeborn at Stripe. In addition to helping define the roadmap for these systems, you will be interacting with many other managers and their teams at Stripe, who rely on the Data processing Infra team to deliver efficient and scalable services to our customers. You will work with both the finance and engineering organization (infrastructure & product) to define, measure and monitor the cost efficiency of these systems.
Responsibilities
- Drive Strategic Vision: Define the multi-year roadmap for Stripe’s Batch Compute Infrastructure, leading complex architectural shifts and modernization.
- Lead and Scale: Build, mentor, and aggressively scale a high-performing team of engineers, proactively investing in their career development and fostering a culture of operational excellence.
- Ensure Operational Rigor: Maintain unwavering reliability for a Tier-0 infrastructure processing tens of thousands of daily workloads, proactively mitigating risks and managing complex on-call telemetry.
- Cross-Functional Orchestration: Collaborate deeply with data platform teams, finance, and user groups to define compute efficiency metrics, execute massive-scale cost optimization strategies, and guarantee compliance with global financial regulations.
- Technical Stewardship: Provide technical guidance in architecture reviews, evaluating critical cost, performance, and reliability trade-offs in distributed systems design involving Hadoop, Spark, AWS cloud primitives, and modern metastores.
Who You Are
Minimum requirements
- 10+ years of professional software development and engineering experience.
- 3+ years of direct engineering management experience, successfully building and operating high-velocity technical teams.
- Deep technical background in building, scaling, and maintaining large-scale distributed data systems or Tier-0 infrastructure using open-source tools (e.g., Hadoop, Spark, Celeborn, Airflow, Kafka).
- Proven track record of driving significant infrastructure efficiency, managing capacity planning, and making data-driven cost-performance trade-offs.
- Experience working effectively in highly cross-functional, global organizations.
Preferred requirements
- Experience managing remote or geographically distributed engineering teams.
- Familiarity with managing a massive fleet of Linux servers, on-premise Hadoop clusters, and modern cloud data architectures (e.g., AWS S3, Graviton).
- Demonstrated ability to navigate strategic ambiguity and deliver complex, multi-quarter infrastructural projects from inception to completion.
- Deep empathy for internal data users with a passion for building robust developer tooling and abstractions.
Ready to apply?
Apply to Stripe
About Zscaler
Zscaler accelerates digital transformation to ensure our customers can be more agile, efficient, resilient, and secure. As an AI-forward enterprise, we are constantly pushing the envelope, leveraging the world’s largest security data lake to power our cloud-native Zero Trust Exchange platform. This innovation protects our customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location.
Here, impact in your role matters more than title and trust is built on results. We say, impact over activity. We seek innovators who actively use AI to amplify their impact and who thrive in an environment where we leverage intelligent systems to stay ahead of evolving threats. We believe in transparency and value constructive, honest debate—we’re focused on getting to the best ideas, faster. We build high-performing teams that can make an impact quickly and with high quality. To do this, we are building a culture of execution centered on customer obsession, collaboration, ownership, and accountability.
We value high-impact, high-accountability with a sense of urgency where you’re enabled to do your best work and embrace your potential. If you’re driven by purpose, thrive on solving complex challenges, and want to be part of the team that’s helping to secure the AI age, we invite you to bring your talents to Zscaler and help shape the future of cybersecurity.
Role
We are looking for a Deputy Manager - Analytics and Insights to join our FP&A Analytics team. This is a hybrid role based in our Mohali Office, reporting to the Manager - Analytics and Insights, FP&A.
As Deputy Manager, you will serve as the architect and technical strategist for Finance’s modern data ecosystem—defining the Source of Truth for core SaaS metrics and building scalable, trusted data products. You will lead the professionalization of the Finance data stack in Snowflake and dbt, enabling automated reporting, faster forecasting, and high-impact analytics. You will also prototype and operationalize GenAI use cases to reduce manual effort and improve decision-making.
What you’ll do (Role Expectations)
- Define and own the governed, auditable data models for core SaaS metrics (ARR, NRR, and churn), ensuring all complex business logic is accurately translated into the data architecture
- Utilize expert-level SQL and Python to design and build analytical datasets within Snowflake that power critical FP&A reporting, forecasting, and executive insights
- Manage the Finance DBT environment by overseeing project structure, standards, testing strategies, and performance optimization, while migrating legacy logic into modern, modular facts and dimensions
- Lead efforts to identify operational bottlenecks and develop robust SQL and Python frameworks designed to eliminate manual work and streamline financial data workflows
- Spearhead the prototyping of RAG and LangChain-based solutions to provide automated business commentary and enhance self-serve insights through cutting-edge AI
Who You Are (Success Profile)
- You act like an owner whose passion for the mission fuels a bias for action and an operation of high integrity. You adapt to what’s needed, navigating seamlessly between high-level strategy and hands-on execution.
- You are a high-trust collaborator who is ambitious for the team, embracing a challenging culture by giving and receiving feedback with clarity and respect.
- You are a pragmatic builder obsessed with creating, iterating, and shipping, balancing technical excellence with the need to deliver value quickly.
- You are data-driven, using analytics to find the truth and value evidence over assumptions to drive better outcomes.
- You think at scale, connecting your work to the global company mission and building solutions that are built to last in a high-growth environment.
What We’re Looking for (Minimum Qualifications)
- 5–7+ years in Finance Analytics, Analytics Engineering, or Data Engineering with strong exposure to finance systems and metrics
- Expert SQL with deep Snowflake experience including data modeling, optimization, and warehousing best practices at scale
- Strong Python proficiency for data engineering and automation including APIs, pipelines, and frameworks
- Significant hands-on DBT experience focusing on dependencies, testing strategy, standards, and CI/CD concepts
- Practical experience designing and operating ELT pipelines and orchestration such as Airflow or Prefect along with dimensional and schema design
What Will Make You Stand Out (Preferred Qualifications)
- Hands-on GenAI implementation experience with LangChain, LlamaIndex, or OpenAI APIs, ideally with RAG patterns applied to finance workflows
- Proven mentorship or code review experience setting engineering standards and elevating junior analysts and engineers
- Experience supporting SaaS at scale including hyper-growth metrics complexity, evolving governance, and multi-source finance data
#LI-HG1
#LI-Hybrid
At Zscaler, we are committed to building a team that reflects the communities we serve and the customers we work with. We foster an inclusive environment that values all backgrounds and perspectives, emphasizing collaboration and belonging. Join us in our mission to make doing business seamless and secure.
Our Benefits program is one of the most important ways we support our employees. Zscaler proudly offers comprehensive and inclusive benefits to meet the diverse needs of our employees and their families throughout their life stages, including:
- Various health plans
- Time off plans for vacation and sick time
- Parental leave options
- Retirement options
- Education reimbursement
- In-office perks, and more!
Learn more about Zscaler’s Future of Work strategy, hybrid working model, and benefits here.
By applying for this role, you adhere to applicable laws, regulations, and Zscaler policies, including those related to security and privacy standards and guidelines.
Zscaler is committed to providing equal employment opportunities to all individuals. We strive to create a workplace where employees are treated with respect and have the chance to succeed. All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy or related medical conditions), age, national origin, sexual orientation, gender identity or expression, genetic information, disability status, protected veteran status, or any other characteristic protected by federal, state, or local laws. See more information by clicking on the Know Your Rights: Workplace Discrimination is Illegal link.
Pay Transparency
Zscaler complies with all applicable federal, state, and local pay transparency rules.
Zscaler is committed to providing reasonable support (called accommodations or adjustments) in our recruiting processes for candidates who are differently abled, have long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support.
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Lead Software Engineer
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At Zeta Global, identity is at the core of our marketing cloud. The Identity team builds and operates backend services that power the Zeta Identity Graph - collecting, resolving, and maintaining billions of behavioural, demographic, and transactional signals. These services enable people-based marketing at scale, ensure trust and transparency in how identity data is managed, and provide critical APIs and event streams consumed across Zeta’s platform. Our systems support more than 235 million consumer profiles and process billions of events monthly, requiring services that are highly available, low-latency, and built to scale.
We are looking for a Lead Software Engineer who brings strength in both backend distributed systems and data engineering. In this role, you’ll design APIs and event-driven services, scale our systems to handle rapidly growing data volumes, and modernize our platform for resilience, transparency, and performance.
You Will:
- Design and build backend services and APIs for identity resolution, graph transparency, and integrations.
- Develop and optimize event-driven pipelines and workflows processing billions of signals.
- Deploy and operate cloud-native services on EKS/Kubernetes, leveraging Helm for repeatable deployments.
- Ensure reliability, observability, and scalability across services and data pipelines.
- Collaborate across engineering, product, and data teams to deliver end-to-end identity solutions.
- Mentor engineers and influence architecture and roadmap decisions.
You Have:
- 7+ years of experience in backend and/or data engineering at scale.
- Strong skills in Python, Java, or Scala, with expertise in APIs, distributed systems, and event-driven design.
- Hands-on experience with Kafka (or similar), Spark/Hive/Flink, and workflow schedulers (Airflow/Luigi).
- Proficiency with Kubernetes (EKS preferred) and deployment practices (Helm, service meshes).
- Solid knowledge of SQL, data modelling, and cloud platforms (AWS).
- Familiarity with columnar / NoSQL databases (Aerospike, Snowflake, HBase, Scylla, Elasticsearch)
- Knowledge of performance optimization and resilience patterns (caching, retries, fault tolerance).
- Familiarity with CI/CD and automated testing practices for backend services.
- Strong communication skills and a track record of driving technical direction and mentoring teams.
Bonus Skills:
- Experience with large-scale or multi-tenant distributed systems.
- Exposure to real-time streaming frameworks (Flink, Storm).
- Knowledge of open table formats (Iceberg, Hudi, Delta Lake).
- Background in security, compliance, or privacy related to identity systems.
Company Summary:
Zeta Global is a NYSE listed data-powered marketing technology company with a heritage of innovation and industry leadership. Founded in 2007 by entrepreneur David A. Steinberg and John Sculley, former CEO of Apple Inc and Pepsi-Cola, the Company combines the industry’s 3rd largest proprietary data set (2.4B+ identities) with Artificial Intelligence to unlock consumer intent, personalize experiences and help our clients drive business growth.
Our technology runs on the Zeta Marketing Platform, which powers ‘end to end’ marketing programs for some of the world’s leading brands. With expertise encompassing all digital marketing channels – Email, Display, Social, Search and Mobile – Zeta orchestrates acquisition and engagement programs that deliver results that are scalable, repeatable and sustainable.
Zeta Global is an Equal Opportunity/Affirmative Action employer and does not discriminate on the basis of race, gender, ancestry, color, religion, sex, age, marital status, sexual orientation, gender identity, national origin, medical condition, disability, veterans status, or any other basis protected by law.
Zeta Global Recognized in Enterprise Marketing Software and Cross-Channel Campaign Management Reports by Independent Research Firm
https://www.businesswire.com/news/home/20240904622808/en/Zeta-Increases-3Q%E2%80%9924-Guidance
We invite you to explore this opportunity to be a part of the Zeta family……
Should you need any assistance or require further information, please do not hesitate to contact us.
Ready to apply?
Apply to Zeta GlobalCDP ETL & Database Engineer
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CDP ETL & Database Engineer
The CDP ETL & Database Engineer will specialize in architecting, designing, and implementing solutions that are sustainable and scalable. The ideal candidate will understand CRM methodologies, with an analytical mindset, and a background in relational modeling in a Hybrid architecture.The candidate will help drive the business towards specific technical initiatives and will work closely with the Solutions Management, Delivery, and Product Engineering teams. The candidate will join a team of developers across the US, India & Costa Rica.
Responsibilities:
- ETL Development – The CDP ETL C Database Engineer will be responsible for building pipelines to feed downstream data They will be able to analyze data, interpret business requirements, and establish relationships between data sets. The ideal candidate will be familiar with different encoding formats and file layouts such as JSON and XML.
- Implementations s Onboarding – Will work with the team to onboard new clients onto the ZMP/CDP+ The candidate will solidify business requirements, perform ETL file validation, establish users, perform complex aggregations, and syndicate data across platforms. The hands-on engineer will take a test-driven approach towards development and will be able to document processes and workflows.
- Incremental Change Requests– The CDP ETL C Database Engineer will be responsible for analyzing change requests and determining the best approach towards implementation and execution of the This requires the engineer to have a deep understanding of the platform's overall architecture. Change requests will be implemented and tested in a development environment to ensure their introduction will not negatively impact downstream processes.
- Change Data Management – The candidate will adhere to change data management procedures and actively participate in CAB meetings where change requests will be presented and Prior to introducing change, the engineer will ensure that processes are running in a development environment. The engineer will be asked to do peer-to-peer code reviews and solution reviews before production code deployment.
- Collaboration s Process Improvement – The engineer will be asked to participate in knowledge share sessions where they will engage with peers, discuss solutions, best practices, overall approach, and The candidate will be able to look for opportunities to streamline processes with an eye towards building a repeatable model to reduce implementation duration.
Job Requirements:
- The CDP ETL & Database Engineer will be well versed in the following areas:
- Relational data modeling.
- ETL and FTP concepts.
- Advanced Analytics using SQL Functions.
- Cloud technologies - AWS, Snowflake.
- Able to decipher requirements, provide recommendations, and implement solutions within predefined.
- The ability to work independently, but at the same time, the individual will be called upon to contribute in a team setting.
- The engineer will be able to confidently communicate status, raise exceptions, and voice concerns to their direct manager.
- Participate in internal client project status meetings with the Solution/Delivery management.
- When required, collaborate with the Business Solutions Analyst (BSA) to solidify.
- Ability to work in a fast paced, agile environment; the individual will be able to work with a sense of urgency when escalated issues arise.
- Strong communication and interpersonal skills, ability to multitask and prioritize workload based on client demand.
- Familiarity with Jira for workflow , and time allocation.
- Familiarity with Scrum framework, backlog, planning, sprints, story points, retrospectives.
Required Skills:
- ETL – ETL tools such as
- Talend (Preferred, not required)
- DMExpress – Nice to have
- Informatica – Nice to have
- Database - Hands on experience with the following database Technologies
- Snowflake (Required)
- MYSQL/PostgreSQL – Nice to have
- Familiar with NOSQL DB methodologies (Nice to have)
- Programming Languages – Can demonstrate knowledge of any of the
- PLSQL
- JavaScript Strong Plus
- Python - Strong Plus
- Scala - Nice to have
- AWS – Knowledge of the following AWS services:
- S3
- EMR (Concepts)
- EC2 (Concepts)
- Systems Manager / Parameter Store
- Understands JSON Data structures, key value
- Working knowledge of Code Repositories such as GIT, Win CVS,
- Workflow management tools such as Apache Airflow, Kafka, Automic/Appworx
- Jira
Minimum Qualifications:
- Bachelor's degree or equivalent.
- 4+ Years' experience.
- Excellent verbal C written communications skills.
- Self-Starter, highly motivated.
- Analytical mindset.
Company Summary:
Zeta Global is a NYSE listed data-powered marketing technology company with a heritage of innovation and industry leadership. Founded in 2007 by entrepreneur David A. Steinberg and John Sculley, former CEO of Apple Inc and Pepsi-Cola, the Company combines the industry’s 3rd largest proprietary data set (2.4B+
identities) with Artificial Intelligence to unlock consumer intent, personalize experiences and help our clients drive business growth.
Our technology runs on the Zeta Marketing Platform, which powers ‘end to end’ marketing programs for some of the world’s leading brands. With expertise encompassing all digital marketing channels – Email, Display, Social, Search and Mobile – Zeta orchestrates acquisition and engagement programs that deliver results that are scalable, repeatable and sustainable.
Zeta Global is an Equal Opportunity/Affirmative Action employer and does not discriminate on the basis of race, gender, ancestry, color, religion, sex, age, marital status, sexual orientation, gender identity, national origin, medical condition, disability, veterans status, or any other basis protected by law.
Zeta Global Recognized in Enterprise Marketing Software and Cross-Channel Campaign Management Reports by Independent Research Firm
https://www.forbes.com/sites/shelleykohan/2024/06/1G/amazon-partners-with-zeta-global-to-deliver- gen-ai-marketing-automation/
https://www.cnbc.com/video/2024/05/06/zeta-global-ceo-david-steinberg-talks-ai-in-focus-at-milken- conference.html
https://www.businesswire.com/news/home/20240G04622808/en/Zeta-Increases-3Q%E2%80%GG24-
Guidance
https://www.prnewswire.com/news-releases/zeta-global-opens-ai--data-labs-in-san-francisco-and-nyc- 300S45353.html
https://www.prnewswire.com/news-releases/zeta-global-recognized-in-enterprise-marketing-software-and- cross-channel-campaign-management-reports-by-independent-research-firm-300S38241.html
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Apply to Zeta GlobalSenior Software Engineer
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Zeta Marketing Platform (ZMP) is a machine learning/AI powered customer acquisition and CRM multi-tenant platform. The backend developer will work on server-side APIs and services that enable a highly distributed event pipeline and a stack that gets tens of thousands of messages per second.
As a senior member of the Software Engineering team, you will join the group responsible for designing, developing, and owning the distributed systems CRI 1 platform for Zeta. You will collaborate with your fellow Engineers and Product managers to develop a roadmap and subsequent projects to build the next generation comprehensive, multichannel marketing solution that unifies and unlocks data across digital touch points, driving return on marketing investment.
You should have a deep knowledge of distributed systems and cloud architecture. You will need extensive design and development experience and be passionate about working with high-throughput systems where the issues of throughput, performance, redundancy, and concurrency are paramount.
Key Responsibilities:
As a Senior Software Developer, you will be:
- Responsible for independently and cooperatively understanding business requirements, designing, and implementing core components for real-world marketing automation platform.
- Designing, implementing application code to satisfy product requirements
- Ensuring high product quality through rigorous code reviews and unit tests
- Fixing bugs and implementing enhancements
- Taking ownership of a significant product component in design and implementation
Requirements:
- We are looking for exceptional talent with superior academic credentials and a solid foundation in computer sciences and distributed systems design and development.
- The candidate will have at least 4 years of experience developing scalable, robust sohware platforms using Java/Ruby/Python or an equivalent language.
- An undergraduate degree in Computer Science (or a related field) from a university where the primary language of instruction is English is strongly desired.
- Strong communication skills in a large-distributed development team environment are essential.
- Experience in Advertising Attribution domain is a plus
Requirements:
- BS or MS in Computer Science or related field
- 4 - 8 years of working experience with J2EE technology, Python or equivalent OO paradigm
- Strong knowledge and experience with Kafka, Elastic Search, Airflow, NoSQL databases such as Aerospike,Thrift, Cl, and AWS.
- Experience with SQL languages
- Experience working with container-based solutions is a plus.
- Experience working in a fast-paced technology environment.
- Strong object-oriented programming and design skills.
- Excellent problem solving, critical thinking, and communication skills.
- Ability and desire to learn new skills and take on new tasks.
Company Profile:
Zeta Global is a NYSE listed data-powered marketing technology company with a heritage of innovation and industry leadership. Founded in 2007 by entrepreneur David A. Steinberg and John Sculley, former CEO of Apple Inc and Pepsi-Cola, the Company combines the industry’s 3rd largest proprietary data set (2.4B+ identities) with Artificial Intelligence to unlock consumer intent, personalize experiences and help our clients drive business growth.
Our technology runs on the Zeta Marketing Platform, which powers ‘end to end’ marketing programs for some of the world’s leading brands. With expertise encompassing all digital marketing channels – Email, Display, Social, Search and Mobile – Zeta orchestrates acquisition and engagement programs that deliver results that are scalable, repeatable and sustainable.
Zeta Global is an Equal Opportunity/Affirmative Action employer and does not discriminate on the basis of race, gender, ancestry, color, religion, sex, age, marital status, sexual orientation, gender identity, national origin, medical condition, disability, veterans status, or any other basis protected by law.
Zeta Global Recognized in Enterprise Marketing Software and Cross-Channel Campaign Management Reports by Independent Research Firm
https://www.businesswire.com/news/home/20240904622808/en/Zeta-Increases-3Q%E2%80%9924-Guidance
We invite you to explore this opportunity to be a part of the Zeta family……
Should you need any assistance or require further information, please do not hesitate to contact us.
Ready to apply?
Apply to Zeta GlobalSenior Data Scientist
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Zeta is seeking an experienced Senior Data Scientist to join our Machine Learning team. You will design, build, and scale machine learning solutions that power marketing intelligence, campaign optimization, and business performance.
This role spans the full ML lifecycle — from data engineering and feature development to model deployment and performance monitoring — in a cloud-based, distributed environment.
Reporting / Hours: 1:00 PM – 10:00 PM IST (± 30 minutes flexibility)
Key Responsibilities
Data Engineering & ETL
- Lead the design and development of scalable ETL pipelines across platforms such as Snowflake/Hive, Athena
- Partner with cross-functional teams to optimize data architecture and workflows
Machine Learning & AI Development
- Design, develop, evaluate, and deploy ML/AI models in production environments
- Build scalable ML pipelines for training, validation, deployment, and scoring
- Develop advanced predictive models and recommendation engines
- Optimize model performance through experimentation, feature engineering, and ensemble techniques
- Implement automation frameworks to improve productivity and reproducibility
Cloud & Distributed Systems
- Leverage AWS technologies including EC2, EMR, S3, Airflow, and Athena
- Build and maintain robust workflows in distributed computing environments
Analytics, Reporting & Marketing Automation
- Generate client-facing modeling insights dashboards and performance reports with a strong focus on accuracy, consistency, and explainability
- Support marketing automation initiatives using Python, Snowflake, Apache Superset, and related technologies
Collaboration & Delivery
- Work on multiple concurrent projects in a fast-paced, high-growth environment
- Communicate complex findings clearly to both technical and non-technical stakeholders
- Mentor junior team members and contribute to best practices across the data science function
Required Skills:
- Strong expertise in supervised learning and advanced ML techniques (Random Forest, GBM, regression, neural networks, boosting and bagging methods, ensemble models)
- Proven experience building and productionizing ML pipelines
- Advanced Python proficiency and experience with ML libraries
- Strong data preparation and feature engineering skills
- Experience with Snowflake and distributed data systems
- Working knowledge of Unix and shell scripting
- Strong analytical thinking, attention to detail, and communication skills
Qualifications:
- MSc/MS in a quantitative field with 4+ years of experience
or
- BSc with 7+ years of relevant experience
WHO WE ARE
Zeta Global (NYSE: ZETA) is the AI-Powered Marketing Cloud that leverages advanced artificial intelligence (AI) and trillions of consumer signals to make it easier for marketers to acquire, grow, and retain customers more efficiently. Through the Zeta Marketing Platform (ZMP), our vision is to make sophisticated marketing simple by unifying identity, intelligence, and omnichannel activation into a single platform – powered by one of the industry’s largest proprietary databases and AI. Our enterprise customers across multiple verticals are empowered to personalize experiences with consumers at an individual level across every channel, delivering better results for marketing programs. Zeta was founded in 2007 by David A. Steinberg and John Sculley and is headquartered in New York City with offices around the world. To learn more, go to www.zetaglobal.com.
ZETA IN THE NEWS!
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Apply to Zeta GlobalSenior Data Engineer
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We’re looking for a Senior Data Engineer to design, build, and operate the data pipelines and aggregates that power Zeta’s AdTech platform. This is a hands-on individual contributor role focused on high-scale batch + streaming data processing, reliable data products, and analytics-ready datasets that enable prediction, agentic workflows, BI reporting, and measurement. You will partner closely with backend, ML, and product teams to deliver trusted, well-modeled data with strong performance, quality, and observability.
What You’ll Do
- Build data pipelines: Develop robust batch and streaming pipelines (Kafka/Kinesis) to ingest, transform, and enrich large-scale event data (impressions, clicks, conversions, costs, identity signals).
- Create data aggregates & marts: Design and maintain curated aggregates and dimensional models for multiple consumers—prediction models, agents, BI dashboards, and measurement workflows.
- Data modeling & contracts: Define schemas, data contracts, and versioning strategies to keep downstream systems stable as sources evolve.
- Data quality & reliability: Implement validation, anomaly detection, backfills, and reconciliation to ensure completeness, correctness, and timeliness (SLAs/SLOs).
- Performance & cost optimization: Optimize compute/storage for scale (partitioning, file sizing, incremental processing, indexing), balancing latency, throughput, and cost.
- Orchestration & automation: Build repeatable workflows with scheduling/orchestration (e.g., Airflow, Dagster, Step Functions) and CI/CD for data pipelines.
- Observability for data systems: Instrument pipelines with metrics, logs, lineage, and alerting to accelerate detection and root-cause analysis of data issues.
Security & governance: Apply least-privilege access, PII-aware handling, and governance controls aligned with enterprise standards.
5+ years building production data pipelines and data products (batch and/or streaming) in a high-scale environment.
Strong experience with SQL and data modeling (dimensional modeling, star/snowflake schemas, event modeling).
- Hands-on experience with streaming systems (Kafka preferred) and/or AWS Kinesis, including event-driven designs.
- Proficiency in one or more languages used for data engineering (Python, Java, Scala, or Go).
- Experience with distributed data processing (Spark, Flink, or equivalent) and performance tuning at scale.
- Experience with AWS data services and cloud-native patterns (S3, Glue/EMR, Athena, Redshift, etc. as applicable).
- Familiarity with lakehouse/table formats and large-scale storage patterns (e.g., Parquet; Iceberg/Hudi/Delta are a plus).
- Experience with orchestration/workflow tooling (Airflow/Dagster/Step Functions) and CI/CD for data workloads.
- Strong data quality/observability practices (tests, monitoring, lineage; understanding of SLAs/SLOs).
- Experience with SQL + NoSQL data stores (e.g., Postgres/MySQL; DynamoDB/Cassandra/Redis) and choosing the right store per use case.
Clear communicator and collaborator; able to work with mixed audiences and translate needs into reliable data interfaces.
- AdTech / programmatic advertising domain knowledge: DSP/SSP/exchange/RTB concepts and data flows.
- Experience building measurement pipelines (attribution, incrementality, lift, or experimentation analytics).
Experience supporting ML feature stores, offline/online feature generation, or model training datasets.
- Experience with real-time analytics stores (Druid/ClickHouse/Pinot) and high-cardinality aggregation strategies.
- Deep knowledge of data governance/privacy, including PII handling and consent-aware data processing.
- Open-source contributions, publications, or conference speaking.
- BS/MS in CS/Engineering or equivalent practical experience.
WHO WE ARE
Zeta Global (NYSE: ZETA) is the AI-Powered Marketing Cloud that leverages advanced artificial intelligence (AI) and trillions of consumer signals to make it easier for marketers to acquire, grow, and retain customers more efficiently. Through the Zeta Marketing Platform (ZMP), our vision is to make sophisticated marketing simple by unifying identity, intelligence, and omnichannel activation into a single platform – powered by one of the industry’s largest proprietary databases and AI. Our enterprise customers across multiple verticals are empowered to personalize experiences with consumers at an individual level across every channel, delivering better results for marketing programs. Zeta was founded in 2007 by David A. Steinberg and John Sculley and is headquartered in New York City with offices around the world. To learn more, go to www.zetaglobal.com.
PEOPLE & CULTURE AT ZETA
Zeta considers applicants for employment without regard to, and does not discriminate on the basis of an individual’s sex, race, color, religion, age, disability, status as a veteran, or national or ethnic origin; nor does Zeta discriminate on the basis of sexual orientation, gender identity or expression.
We’re committed to building a workplace culture of trust and belonging, so everyone feels invited to bring their whole selves to work. We provide a forum for employees to celebrate, support and advocate for one another. Learn more about our commitment to diversity, equity and inclusion here: https://zetaglobal.com/blog/a-look-into-zetas-ergs/
ZETA IN THE NEWS!
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Apply to Zeta GlobalMarketing Solutions Developer
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Marketing Solutions Developer
Job Description
The type of profile that would be required to fulfil this role is outlined below for a ##role name## with approximately 3 years of experience delivering personalised and interactive web experiences. This role sits at the intersection of front-end development and marketing technology, requiring strong JavaScript capabilities to enhance, customise, and troubleshoot dynamic web components integrated with marketing platforms.
The role will work on a variety of personalised web experiences including form customisation, dynamic content loading, API integrations, and behaviour overrides — using JavaScript as the primary tool to solve problems and implement creative solutions.
Key Responsibilities:
JavaScript-Driven Web Personalisation:
- Build and extend interactive web pop-ins using JavaScript in personalisation tools (e.g., Digioh).
- Override default form behaviour to support dynamic functionality like expiry timers, conditional rendering, and score-based image swapping.
- Parse encrypted query parameters and tokens to personalise landing page content.
- Incorporate third-party or remote data (e.g., dealer lists, product lookups) into forms via asynchronous JavaScript.
- Implement client-side tracking and event submission using custom JS logic in coordination with personalisation tags (e.g., P13n).
API & Integration Work:
- Fetch and handle remote data using RESTful APIs within JavaScript-driven experiences.
- Work with JSON payloads to populate form elements and build dynamic UI elements.
- Bridge the gap between client CRM systems and the Zeta platform using front-end scripting where required.
Technical Troubleshooting & Investigations:
- Debug issues with form behaviour, lead delivery failures, or API responses using browser developer tools and techniques such as network inspection and console logging.
- Investigate and resolve anomalies in dynamic rendering, scoring logic, and tag-based tracking mechanisms.
- Assess new or unsupported client requirements and devise feasible JavaScript-based workarounds.
Required Skills & Experience:
- 3+ years’ hands-on experience in front-end development with a strong focus on JavaScript
- Deep understanding of JavaScript (ES6+), including async/await, event handling, DOM manipulation, and browser APIs
- Experience integrating with REST APIs and handling authentication, error states, and data formatting
- Solid HTML and CSS skills for customising and styling interactive components
- Familiarity with browser dev tools (Chrome/Edge) for inspecting issues and testing scripts
- Experience implementing custom business logic into web forms and overlays (e.g., Digioh or similar platforms)
Desirable Skills:
- Experience using JavaScript in a marketing context: web personalisation, form tracking, user targeting
- Exposure to customer data platforms or marketing automation tools (e.g., Zeta Marketing Platform, Adobe Target, etc.)
- Experience mediating API interactions via orchestration tools (e.g., Airflow) or writing client-side logic to handle fallback flows
- Knowledge of encoding/decoding encrypted query strings and URL-safe tokens
- Familiarity with campaign-based tools like Push Planet or CMS-driven landing pages
Soft Skills:
- Strong problem-solving skills and self-starting attitude
- Ability to balance technical perfection with pragmatic delivery
- Clear communicator, comfortable writing handovers and technical notes
- Willingness to dive into ambiguous requirements and turn them into structured, testable solutions
- Team player comfortable collaborating with cross-functional teams (e.g., delivery, campaign ops, technical account managers)
Company Summary:
Zeta Global is a NYSE listed data-powered marketing technology company with a heritage of innovation and industry leadership. Founded in 2007 by entrepreneur David A. Steinberg and John Sculley, former CEO of Apple Inc and Pepsi-Cola, the Company combines the industry’s 3rd largest proprietary data set (2.4B+ identities) with Artificial Intelligence to unlock consumer intent, personalize experiences and help our clients drive business growth.
Our technology runs on the Zeta Marketing Platform, which powers ‘end to end’ marketing programs for some of the world’s leading brands. With expertise encompassing all digital marketing channels – Email, Display, Social, Search and Mobile – Zeta orchestrates acquisition and engagement programs that deliver results that are scalable, repeatable and sustainable.
Zeta Global is an Equal Opportunity/Affirmative Action employer and does not discriminate on the basis of race, gender, ancestry, color, religion, sex, age, marital status, sexual orientation, gender identity, national origin, medical condition, disability, veterans status, or any other basis protected by law.
Zeta Global Recognized in Enterprise Marketing Software and Cross-Channel Campaign Management Reports by Independent Research Firm
https://www.businesswire.com/news/home/20240904622808/en/Zeta-Increases-3Q%E2%80%9924-Guidance
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About PayPay India
Why India ?
To build our Payment services, we got technical cooperation from Paytm (A large payment service company in India). And based on their customer-first technologies , we created and expanded the smartphone payment service in Japan. Therefore, we have decided to establish a development base in India, because it is a major IT country with many talented engineers, as evidenced by the fact that cutting-edge mobile payments can continue to be generated.
OUR VISION IS UNLIMITED
Job Description
PayPay's rapid growth necessitates the expansion of its product teams and underscores the critical need for a resilient Data Engineering Platform. This platform is vital to support our increasing business demands. The Data Pipeline team is tasked with creating, deploying, and managing this platform, utilizing leading technologies like Databricks, Delta Lake, Spark, PySpark, Scala, and the AWS suite.
We are actively seeking skilled Data Engineers to join our team and contribute to scaling our platform across the organization.
Main Responsibilities
- Create and manage robust data ingestion pipelines leveraging Databricks, Airflow, Kafka, and Terraform.
- Ensure high performance, reliability, and efficiency by optimizing large-scale data pipelines.
- Develop data processing workflows using Databricks, Delta Lake, and Spark technologies.
- Maintain and improve the Data Lakehouse, utilizing Unity Catalog for efficient data management and discovery.
- Construct automation, frameworks, and enhanced tools to streamline data engineering workflows.
- Collaborate across teams to facilitate smooth data flow and integration.
- Enforce best practices in observability, data governance, security, and regulatory compliance
Qualifications
- Minimum 7 years as a Data Engineer or similar role.
- Hands-on experience with Databricks, Delta Lake, Spark, and Scala.
- Proven ability to design, build, and operate Data Lakes or Data Warehouses.
- Proficiency with Data Orchestration tools (Airflow, Dagster, Prefect).
- Familiarity with Change Data Capture tools (Canal, Debezium, Maxwell).
- Strong command of at least one primary language (Scala, Python, etc.) and SQL.
- Experience with data catalog and metadata management (Unity Catalog, Lakeformation).
- Experience in Infrastructure as Code (IaC) using Terraform.
- Excellent problem-solving and debugging abilities for complex data challenges.
- Strong communication and collaboration skills.
- Capability to make informed decisions, learn quickly, and consider complex technical contexts.
- Leverage AI/LLM-based tools in daily workflows (e.g., code development, reviews, testing, debugging, documentation), while ensuring human oversight, judgment, and accountability drive the final product.
Remarks
＊Please note that you cannot apply for PayPay (Japan-based jobs) or other positions in parallel or in duplicate.
PayPay 5 senses
- Please refer PayPay 5 senses to learn what we value at work.
Working Conditions
Employment Status
- Full Time
Office Location
- Gurugram (Wework)
＊The development center requires you to work in the Gurugram office to establish the strong core team.
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This position exists to develop and enhance the customer onboarding experience and set up systems owned by the Customer Journey (CJ) team, within the Multi-Product Platform (MPP) division. The role plays a critical part in helping the team deliver on its mission: making POV (Proof of Value) onboarding smoother, faster, and increasingly self-serve. You will contribute directly to the backend systems that take enterprise customers from evaluation to full deployment, and help strengthen the team’s ability to deliver reliable, automated onboarding workflows at scale.
What you will do
Abnormal AI is looking for a driven and growth‑oriented Backend Software Engineer to join the Customer Journey (CJ) team. The team builds and maintains Abnormal’s customer onboarding and tenant management systems within the Multi-Product Platform (MPP) division. As a member of the team, you will build and scale backend services, contribute to automating manual steps in the onboarding process, and help decouple downstream systems from the onboarding pipeline. You’ll work across APIs, backend services, and data workflows to solve technical challenges related to large-scale customer provisioning at scale. We’re looking for candidates who are eager to learn, excited to work collaboratively, and motivated by building systems that directly impact how customers experience Abnormal.
Must Haves
- 2+ years of experience as a software engineer with a strong foundation in coding and problem-solving.
- 1+ years of hands-on experience in backend development using Python or Golang, with exposure to cloud-native environments.
- Solid understanding of databases, REST APIs, and data pipelines.
- Familiarity with LLMs and AI development tools such as Cursor, GitHub Copilot, or Claude.
- Experience working individually as well as in groups on a regular basis.
- Experience working with distributed teams, proficient in asynchronous and written communication.
- Experience building features and components from scratch and operating them, balancing feature development with operational tasks.
Nice to Haves
- Experience with Apache Airflow
- Familiarity with AWS services and deployment practices.
- Experience in building a feature or component from scratch
🚀 Ready to be part of AI transformation at Abnormal AI? Apply Now!
Once you apply, you’ll be invited to our AI-powered Development Challenge, where you’ll gain hands-on experience with AI-powered tools like Cursor and Copilot to build real-world application features. This challenge is a take-home assignment, requiring 2-4 hours of work to be completed within one week - apply when you’re ready!
#LI-UC1
Abnormal AI is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status or other characteristics protected by law. For our EEO policy statement please click here. If you would like more information on your EEO rights under the law, please click here.
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Toast creates technology to help restaurants and local businesses succeed in a digital world, helping business owners operate, increase sales, engage customers, and keep employees happy.
Now, more than ever, the Toast team is committed to our customers. We’re taking steps to help restaurants navigate these unprecedented times with technology, resources, and community. Our focus is on building the restaurant platform that helps restaurants adapt, take control, and get back to what they do best: building the businesses they love. And because our technology is purpose-built for restaurants, by restaurant people, restaurants can trust that we’ll deliver on their needs for today while investing in experiences that will power their restaurant of the future.
Bready* to make a change?
Toast is looking for a Staff Machine Learning Engineer to serve as a technical linchpin for our AI Platform team. At the P4 level, you aren't just deploying models; you are designing the fundamental infrastructure that enables dozens of teams to build, deploy, and monitor AI at scale. You will act as a force multiplier, mentoring senior engineers and setting the architectural standards for our MLOps lifecycle—from feature stores and automated retraining to high-performance inference at the edge.
About this Roll*:
- Architectural Leadership: Design and lead the evolution of a unified MLOps platform that supports diverse needs across Toast, ensuring high availability, scalability, and security of ML services.
- Engineering Excellence: Champion and institutionalize best practices for CI/CD for ML (MLOps), automated testing, and infrastructure-as-code (Terraform).
- Cross-Functional Synergy: Lead collaborative efforts across Data Engineering, DevOps, and Product teams to bridge the gap between model prototyping and production-grade reliability.
- Strategic Roadmapping: Partner with leadership and Product Managers to define the 1-2 year technical vision for AI infrastructure, prioritizing long-term stability over short-term fixes.
- Operational Ownership: Set the standard for observability and incident response for ML systems, driving root-cause analysis for complex system failures.
- Mentorship: Actively mentor P2 and P3 engineers, fostering a culture of technical rigor and continuous learning.
Do you have the right ingredients*?
- Education: Bachelor’s or Master’s degree in Computer Science, AI, or a related technical field.
- Experience: A minimum of 10-12+ years of professional software engineering experience, with at least 6-7 years specifically focused on productionizing and scaling ML systems at the enterprise level.
- Core Tech Stack: Expert-level proficiency in Python, Scala, or Java/Kotlin. Extensive experience with PySpark and high-performance computing.
- Generative AI & LLMOps: Proven track record of taking LLM applications from research to production, including experience with Vector Databases, LangChain/LangGraph, and A2A protocols.
- System Design: Superior ability to design distributed systems that handle millions of requests with sub-second latency.
- Experience with microservice based architecture, preferably with AWS tooling (SageMaker, DynamoDB, Athena, Glue, etc.)
- Experience in software engineering best practices and tools including object-oriented programming, test-driven development, CI/CD, git, shell scripting, task orchestration, MLflow
- Profound knowledge of model deployment, orchestration (Apache airflow, Prefect), scaling, and managing CPU/GPU resources efficiently.
- Exceptional problem-solving, analytical skills and the ability to tackle complex problems with a critical thinking approach.
- Outstanding communication and interpersonal skills, coupled with a demonstrated ability to work collaboratively within a team environment.
- Foundational knowledge in statistical concepts (e.g. classification, regression, etc) and deep learning algorithms (e.g. CNN, RNN) is desirable
Bonus Ingredients (The "Staff" Edge)
- Data Strategy: Experience implementing enterprise-grade Feature Stores (e.g., Tecton, Feast) and real-time streaming frameworks like Apache Flink or Ray.
- Full-Stack Visibility: Ability to dive into the UI/UX layer (React) or deep into the kernel/networking layer to debug performance bottlenecks.
Open Source/Community: Contributions to relevant open-source projects (MLflow, Kubeflow, etc.) or a history of speaking at industry conferences.
AI at Toast
At Toast, one of our company values is that we're hungry to build and learn. We believe learning new AI tools empowers us to build for our customers faster, more independently, and with higher quality. We provide these tools across all disciplines, from Engineering and Product to Sales and Support, and are inspired by how our Toasters are already driving real value with them. The people who thrive here are those who embrace changes that let us build more for our customers; it’s a core part of our culture.
Our Total Rewards Philosophy
We strive to provide competitive compensation and benefits programs that help to attract, retain, and motivate the best and brightest people in our industry. Our total rewards package goes beyond great earnings potential and provides the means to a healthy lifestyle with the flexibility to meet Toasters’ changing needs. Learn more about our benefits at https://careers.toasttab.com/toast-benefits.
How Toast Uses AI in its Hiring Process
Throughout the hiring process, our goal is to get to know you. We use AI tools to support our recruiters and interviewers with tasks like note-taking, summarization, and documentation of interviews to ensure they can be fully focused on your conversation. All hiring decisions are made by people. To learn more: https://careers.toasttab.com/ai-in-hiring
Diversity, Equity, and Inclusion is Baked into our Recipe for Success
At Toast, our employees are our secret ingredient—when they thrive, we thrive. The restaurant industry is one of the most diverse, and we embrace that diversity with authenticity, inclusivity, respect, and humility. By embedding these principles into our culture and design, we create equitable opportunities for all and raise the bar in delivering exceptional experiences.
We Thrive Together
We embrace a hybrid work model that fosters in-person collaboration while valuing individual needs. Our goal is to build a strong culture of connection as we work together to empower the restaurant community. To learn more about how we work globally and regionally, check out: https://careers.toasttab.com/locations-toast.
Apply today!
Toast is committed to creating an accessible and inclusive hiring process. As part of this commitment, we strive to provide reasonable accommodations for persons with disabilities to enable them to access the hiring process. If you need an accommodation to access the job application or interview process, please contact candidateaccommodations@toasttab.com.
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For roles in the United States, it is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
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ML / AI Data Engineer (Contract)
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About us:
Working at Tech Holding isn't just a job, it's an opportunity to be a part of something bigger. We are a full-service consulting firm that was founded on the premise of delivering predictable outcomes and high-quality solutions to our clients. Our founders and team members have industry experience and have held senior positions in a wide variety of companies – from emerging startups to large Fortune 50 firms – and we have taken our combined experiences and developed a unique approach that is supported by the principles of deep expertise, integrity, transparency, and dependability.
This role focuses on building and optimising large-scale video and multimodal data systems, enabling high-throughput ingestion, processing, and model training across distributed cloud environments.
Key Responsibilities
- Design, deploy, and scale large-scale ML and data processing pipelines across cloud infrastructure.
- Build systems to ingest, process, and serve 250,000+ hours of multimodal data (video, audio, metadata).
- Architect and optimize GPU-based compute environments (e.g., NVIDIA Tesla clusters) for distributed training and inference.
- Develop high-throughput backend systems for video ingestion from desktop and mobile platforms.
- Implement distributed processing workflows, including job scheduling, fault tolerance, and resource allocation.
- Design and build human-in-the-loop and automated annotation systems to ensure data quality and scalability.
- Translate ML and multimodal research into scalable, production-grade cloud architectures.
- Optimize pipelines for performance, reliability, and cost efficiency across compute, storage, and networking layers.
- Collaborate with ML, data, and engineering teams to deliver end-to-end data workflows.
- 5+ years of experience in data engineering, ML pipelines, or distributed systems.
- Strong experience building scalable data pipelines for large datasets (video/audio preferred).
- Hands-on experience with cloud platforms (AWS, Azure, or GCP).
- Experience working with GPU-based environments and distributed computing.
- Strong programming skills in Python, Scala, or similar languages.
- Experience with data processing frameworks (Spark, Ray, Kafka, Airflow, or similar).
- Understanding of ML workflows, training pipelines, and inference systems.
- Experience designing fault-tolerant, high-availability systems.
- Strong knowledge of data storage systems (data lakes, object storage, distributed file systems).
- Ability to handle high-throughput, large-scale data ingestion and processing.
- Experience with multimodal AI (video, audio, NLP) systems.
- Familiarity with annotation tools and data labeling workflows.
- Experience with containerization and orchestration (Docker, Kubernetes).
- Knowledge of cost optimization strategies for large-scale cloud workloads.
Tech Holding is proud to be an Equal Opportunity Employer and is committed to fostering a diverse and inclusive workplace. We welcome applicants from all backgrounds and experiences, and we consider qualified applicants without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, disability, veteran status, or any other legally protected characteristic. If you require accommodation in the application process, please contact our HR
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Data Scientist
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Who we are
Metropolis is an artificial intelligence company that uses computer vision technology to enable frictionless, checkout-free experiences in the real world. Today, we are reimagining parking to enable millions of consumers to just "drive in and drive out." We envision a future where people transact in the real world with a speed, ease and convenience that is unparalleled, even online. Tomorrow, we will power checkout-free experiences anywhere you go to make the everyday experiences of living, working and playing remarkable - giving us back our most valuable asset, time.
Who you are
We are looking for a highly motivated and analytical Data Scientist to join our growing data team. You will play a key role in extracting insights from large datasets, building predictive models, and supporting data-driven decision-making across departments.
What you'll do
- Collect, process, and analyze large datasets from multiple sources
- Build and deploy machine learning models to solve business problems
- Design and implement A/B tests and statistical analyses
- Collaborate with cross-functional teams (product, engineering, marketing) to define analytics requirements
- Communicate complex data insights in a clear and actionable manner to stakeholders
- Develop dashboards and visualizations to monitor key metrics
- Stay current with the latest trends and technologies in data science and AI
What we're looking for
- Bachelor’s and or Master’s degree in Computer Science, Mathematics, Statistics, or related field
- 4+ years of proven experience as a Data Scientist or Data Analyst
- Strong knowledge of Python/R and SQL
- Hands-on experience with machine learning frameworks (e.g., scikit learn, tensroflow, pytorch)
- Experience with big data tools (e.g., Spark, Hadoop)
- Familiarity with data visualization tools
- Strong analytical, problem-solving, and communication skills
While not required, these are a plus:
- Experience with cloud platforms preferably AWS (S3, Sagemaker, Airflow etc)
- Strong SQL skills, with experience in Snowflake, MySQL, and PostgreSQL
- Familiarity with data visualization tools (e.g., Tableau, Power BI, Looker)
3 Days in Office: Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection.
When you join Metropolis, you'll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. #LI-SR1 #LI-Onsite
Metropolis may utilize an automated employment decision tool (AEDT) to assess or evaluate your candidacy for employment or promotion. AEDTs are used to assist in assessing a candidate’s application relative to the required job qualifications and responsibilities listed in the job posting.
As part of this process, Metropolis retains data relevant to your candidacy, including personal information, for a period that is reasonably necessary for the use of the tool. If you are hired for the position, your data may become part of your employee records.
Metropolis Technologies is an equal opportunity employer. We make all hiring decisions based on merit, qualifications, and business needs, without regard to race, color, religion, sex (including gender identity, sexual orientation, or pregnancy), national origin, disability, veteran status, or any other protected characteristic under federal, state, or local law.
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Senior Data Engineer
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Who we are
Metropolis is an artificial intelligence company that uses computer vision technology to enable frictionless, checkout-free experiences in the real world. Today, we are reimagining parking to enable millions of consumers to just "drive in and drive out." We envision a future where people transact in the real world with a speed, ease and convenience that is unparalleled, even online. Tomorrow, we will power checkout-free experiences anywhere you go to make the everyday experiences of living, working and playing remarkable - giving us back our most valuable asset, time.
Who you are
As a Senior Data Engineer at Metropolis, you will play a key role in shaping both customer-facing and business-facing data products that align with our mission. Your technical expertise and analytical acumen will contribute to designing and building extensive data sets that impact thousands of internal users and millions of members. Join a world-class data engineering team dedicated to advancing your skills and career in data engineering and beyond.
What you'll do
- Collaborate with engineers, product managers, and data scientists to understand data needs, and develop end-to-end data pipelines, solutions, and foundational data sets
- Design and own the data architecture for large-scale projects, making informed decisions about design and operational trade-offs
- Build, launch, and optimize sophisticated data pipelines, data models, and visualizations that support diverse use cases across multiple products or domains
- Define and manage Service Level Agreements (SLAs) for all data sets within areas of ownership
- Implement data security models based on privacy requirements, ensure compliance with safeguards, address data quality issues, and evolve data governance processes
- Solve complex data integration challenges using optimal ETL/ELT patterns, frameworks, and query techniques for both structured and unstructured data sources
- Maintain and enhance existing production processes by optimizing complex code using advanced algorithmic concepts
- Optimize pipelines, dashboards, frameworks, and systems to streamline data artifact development
- Mentor team members, providing and receiving actionable feedback to foster skill growth and collaboration
- Ensure flexibility with availability during evening hours
What we're looking for
- Bachelor's degree in computer science, Computer Engineering, or a relevant technical field; a master's degree is preferred
- 5+ years of experience in data engineering, database engineering, business intelligence, data warehousing, and ETL tools, working with large data sets in the cloud
- Proficiency in SQL, ETL/ELT, and data modeling, with extensive experience in Snowflake and dbt
- 5+ years of experience with Python, and experience building scalable Big Data solutions and ETL ecosystems
- Hands-on experience with RDBMS such as MySQL, MS SQL Server, and Postgres
- Familiarity with integration tools like Airflow and Automic, along with a working knowledge of CI/CD pipelines
- Ability to deliver high standards of code quality, system reliability, and performance
- Experience with Spark and PySpark to handle large-scale data processing and enhance data pipeline efficiency
- Strong proficiency in Terraform is a must-have.
Our Stack
- Languages + Frameworks: TypeScript, React, Scala (principally), Java (limited)
- Datastores: MySQL, PostgreSQL, Snowflake
- Cloud: AWS
- Version control: Git & GitHub
- AI Tooling: Copilot on GitHub
- Observability: Datadog
When you join Metropolis, you’ll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. #LI-SR1 #LI-Onsite
Metropolis may utilize an automated employment decision tool (AEDT) to assess or evaluate your candidacy for employment or promotion. AEDTs are used to assist in assessing a candidate’s application relative to the required job qualifications and responsibilities listed in the job posting.
As part of this process, Metropolis retains data relevant to your candidacy, including personal information, for a period that is reasonably necessary for the use of the tool. If you are hired for the position, your data may become part of your employee records.
Metropolis Technologies is an equal opportunity employer. We make all hiring decisions based on merit, qualifications, and business needs, without regard to race, color, religion, sex (including gender identity, sexual orientation, or pregnancy), national origin, disability, veteran status, or any other protected characteristic under federal, state, or local law.
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Data Engineer
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Opportunity Overview:
We are looking for a Data Engineer to build and optimize scalable data pipelines and analytical datasets on our AWS-based lakehouse platform.
- You will work with Apache Iceberg, AWS Glue, Athena, dbt, and Airflow to support reliable and efficient data processing for analytics and operational use cases.
- You will collaborate with senior engineers, analytics teams, and platform stakeholders to deliver production-grade data solutions.
What you’ll do:
- Develop and maintain batch data pipelines
- Build reusable ingestion and transformation workflows
- Build and maintain Apache Iceberg datasets
- Support schema evolution and partition optimization
- Optimize Athena queries and troubleshoot performance bottlenecks
- Implement data validation checks and monitoring
- Support production issue troubleshooting
Required Qualifications:
- 4–5 years of experience in data engineering
- Strong hands-on experience with Python, SQL, PySpark/Spark
- Experience with AWS S3, Glue, Athena
- Experience with DBT and Airflow (or equivalent)
- Familiarity with Apache Iceberg / Hudi / Delta
- Understanding of partitioning and Parquet optimization
Interview Process*:
- Connect with Talent Acquisition
- Technical Round 1
- Technical Round 2
- Final Round
*Subject to change
About Cohere Health:
Cohere Health’s clinical intelligence platform delivers AI-powered solutions that streamline access to quality care by improving payer-provider collaboration, cost containment, and healthcare economics. Cohere Health works with over 660,000 providers and handles over 12 million prior authorization requests annually. Its responsible AI auto-approves up to 90% of requests for millions of health plan members.
With the acquisition of ZignaAI, we’ve further enhanced our platform by launching our Payment Integrity Suite, anchored by Cohere Validate™, an AI-driven clinical and coding validation solution that operates in near real-time. By unifying pre-service authorization data with post-service claims validation, we’re creating a transparent healthcare ecosystem that reduces waste, improves payer-provider collaboration and patient outcomes, and ensures providers are paid promptly and accurately.
Cohere Health’s innovations continue to receive industry wide recognition. We’ve been named to the 2025 Inc. 5000 list and in the Gartner® Hype Cycle™ for U.S. Healthcare Payers (2022-2025), and ranked as a Top 5 LinkedIn™ Startup for 2023 & 2024. Backed by leading investors such as Deerfield Management, Define Ventures, Flare Capital Partners, Longitude Capital, and Polaris Partners, Cohere Health drives more transparent, streamlined healthcare processes, helping patients receive faster, more appropriate care and higher-quality outcomes.
The Coherenauts, as we call ourselves, who succeed here are empathetic teammates who are candid, kind, caring, and embody our core values and principles. We believe that diverse, inclusive teams make the most impactful work. Cohere is deeply invested in ensuring that we have a supportive, growth-oriented environment that works for everyone.
We can’t wait to learn more about you and meet you at Cohere Health!
Equal Opportunity Statement:
Cohere Health is an Equal Opportunity Employer. We are committed to fostering an environment of mutual respect where equal employment opportunities are available to all. To us, it’s personal.
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Sr. Analytics Engineer- Hybrid in Bangalore
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For over 20 years, Smartsheet has helped people and teams achieve–well, anything. From seamless work management to smart, scalable solutions, we’ve always worked with flow. We’re building tools that empower teams to automate the manual, uncover insights, and scale smarter. But more than that, we’re creating space– space to think big, take action, and unlock the kind of work that truly matters. Because when challenge meets purpose, and passion turns into progress, that’s magic at work, and it’s what we show up for everyday.
Smartsheet is hiring a Senior Analytics Engineer to lead the way in data-driven decision-making. You will be responsible for the creation and maintenance of a governed, reliable, and scalable analytics system, transforming raw data into usable datasets for DS/ML, analytics, and reporting.
A key aspect of this role is leading the architecture and implementation of efficient data transformation systems within Snowflake, fostering data democratization and impacting business outcomes. Working closely with BI analysts and Data scientists, you will ensure data accessibility and drive activation on critical customer-facing platforms.
This full-time position reports to the Director of Analytics Engineering and is based in Smartsheet’s corporate offices in Bengaluru, India.
You Will:
- Leading the implementation of efficient and scalable systems that optimize data transformations from our data lake in Snowflake into clean, documented data products.
- Contribute to the design standards and architectural principle standards, designs and processes.
- Build and maintain a governed, robust, reliable, and scalable analytics system (DW/DV).
- Collaborating with BI analysts and data scientists to provide proper data accessibility guidelines.
- Foster data democratization via activation of data on critical platforms like Smartsheet platform, Amplitude, Thoughtspot , Gainsight.
- Create and contribute to frameworks that improve data quality and observability to identify and resolve issues faster.
- Create and implement data testing plans, encompassing data validation, data quality assessment, and regression testing, to identify anomalies, inconsistencies, or errors in produced datasets.
- Mentor and guide teams and help drive high standards across the team by conducting design reviews and engineering ideation forums.
- Collaborate with cross-functional teams to assess data privacy needs and define data masking strategies aligned with industry compliance standards (e.g., GDPR, HIPAA, CCPA).
You Have:
- 6+ years of experience in advanced data modeling using Data Vault (DV 2.0), dbt, and Snowflake.
- Proven experience in building analytics systems with data transformation, dependency, and workload management (Data Vault, AutomateDV, dbt core, Airflow, Snowflake, GitLab, SQL).
- Proven experience with building and maintaining business analytics layers and semantic layers to enable self-service for non-technical end-users.
- Strong production experience supporting and maintaining analytics/data warehouse solutions with mission-critical datasets.
- Familiarity with data governance principles for maintaining datasets to enable a single source of truth.
- Familiarity with self-serve product analytics tools (Amplitude, Thoughtspot, Tableau, Gainsight, etc.).
- Knowledge of code management and CI/CD practices (GitLab, Airflow, Snowflake, Terraform).
- Familiarity with AWS solutions such as S3, EC2, VPC.
Get to Know Us:
At Smartsheet, your ideas are heard, your potential is supported, and your contributions have real impact. You’ll have the freedom to explore, push boundaries, and grow beyond your role. We welcome diverse perspectives and nontraditional paths—because we know that impact comes from individuals who care deeply and challenge thoughtfully. When you’re doing work that stretches you, excites you, and connects you to something bigger, that’s magic at work. Let’s build what’s next, together.
Equal Opportunity Employer:
Smartsheet is an Equal Opportunity (EEO) employer committed to fostering an inclusive environment with the best employees. It is our policy to provide equal employment opportunities to all qualified applicants in accordance with applicable laws in the US, UK, Australia, Germany, Costa Rica, Japan, Bulgaria, and India. All qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran or disabled status, or genetic information.
If there are preparations we can make to help ensure you have a comfortable and positive interview experience, please let us know.
#LI-Remote
Ready to apply?
Apply to Smartsheet
Sr. Revenue Operations Data Engineer (Hybrid in Bangalore)
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For over 20 years, Smartsheet has helped people and teams achieve–well, anything. From seamless work management to smart, scalable solutions, we’ve always worked with flow. We’re building tools that empower teams to automate the manual, uncover insights, and scale smarter. But more than that, we’re creating space– space to think big, take action, and unlock the kind of work that truly matters. Because when challenge meets purpose, and passion turns into progress, that’s magic at work, and it’s what we show up for everyday.
Smartsheet is looking for an experienced Data Engineer to support and accelerate the productivity of our Go-To Market organization. In this role, you will work with Data Engineers to help build scalable and reliable data and reporting infrastructure. You will partner with Analytics decision-makers as part of a collaborative, motivated team. Your work will be instrumental in helping our Sales partners optimize their pipeline, increase retention, and close deals.
Our ideal candidate is curious and displays an ability to translate abstract data requests into actionable data solutions . To be successful in this role, you are able to communicate to a diverse audience of internal stakeholders. You should have strong technical acumen with data analytics tools and languages, the ability to identify areas of opportunity within the business, and build innovative solutions.
You Will:
- Help to create, evolve, and maintain the reporting infrastructure for the Sales organization to facilitate data across the organization
- Partner with engineering, data science, and other analytics teams to build scalable analytics solutions with a focus on reporting capabilities
- Mine large datasets to ensure data accuracy and completeness for reporting purposes
- Analyze and monitor data for anomalies, with a focus on data quality and consistency within reports
- Develop and maintain key performance indicators (KPIs) to track sales performance, pipeline health, and other critical metrics
- Automate report generation and distribution to improve efficiency
- Provide technical expertise and guidance to junior analysts on data extraction, transformation, and loading (ETL) processes and reporting best practices
- Ensure data governance and data integrity across all reporting tools and platforms
- Proactively identify and propose improvements to existing reporting processes and systems
- Be a mentor and leader to the more junior analysts on the team
- Perform other duties as assigned
You Have:
- Bachelor's degree in a quantitative field (e.g. engineering, sciences, math, statistics, business, or economics)
- 5+ years of experience in an analytics/engineering role with increasing responsibility
- Experience in Cloud and SaaS go-to-market (GTM)
- Expertise in SQL and preparing data for analysis, modeling, and visualization
- 3+ years of experience using Python for data analysis / automation
- 3+ years of experience with dbt core
- 3+ years of experience with Git (Gitlab, Github etc.) and CI/CD concepts like branching, merging, Code Reviews etc.
- Demonstrated experience with a modern engineering tech stack (Airflow, AWS, Docker etc.)
- Experience working with a business intelligence tool like Tableau, PowerBI, Looker, etc.
Nice To Have:
- Experience building ML models
- Proficiency with Tableau preferred
- Experience with statistics (time series analysis, cluster analysis, multivariate analysis)
- Experience publishing and presenting data and findings to executives and non-data users
Get to Know Us:
At Smartsheet, your ideas are heard, your potential is supported, and your contributions have real impact. You’ll have the freedom to explore, push boundaries, and grow beyond your role. We welcome diverse perspectives and nontraditional paths—because we know that impact comes from individuals who care deeply and challenge thoughtfully. When you’re doing work that stretches you, excites you, and connects you to something bigger, that’s magic at work. Let’s build what’s next, together.
Equal Opportunity Employer:
Smartsheet is an Equal Opportunity (EEO) employer committed to fostering an inclusive environment with the best employees. It is our policy to provide equal employment opportunities to all qualified applicants in accordance with applicable laws in the US, UK, Australia, Germany, Costa Rica, Japan, Bulgaria, and India. All qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran or disabled status, or genetic information.
If there are preparations we can make to help ensure you have a comfortable and positive interview experience, please let us know.
#LI-Remote
Ready to apply?
Apply to Smartsheet
Principal Analytics Engineer (Data Architect) - Hybrid in Bangalore
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For over 20 years, Smartsheet has helped people and teams achieve–well, anything. From seamless work management to smart, scalable solutions, we’ve always worked with flow. We’re building tools that empower teams to automate the manual, uncover insights, and scale smarter. But more than that, we’re creating space– space to think big, take action, and unlock the kind of work that truly matters. Because when challenge meets purpose, and passion turns into progress, that’s magic at work, and it’s what we show up for everyday.
As a global leader in Collaborative Work Management and with a market cap of $10bn we’ve experienced incredible growth in EMEA, expanding from 1 team and 3 engineers in 2018 to 9 teams with over 70 engineers in 2024. As we expand into India and build out a new operation, we're searching for a talented and motivated Principal Analytics Engineer (Data Architect) to serve as a thought leader in our data-driven decision-making. You will be responsible for the end-to-end system design and architecture of our business critical analytical systems (DWs). This role will be responsible for the design and development of a governed, reliable, and scalable analytics ecosystem, transforming raw data into high-value, performant data products for DS/ML, analytics, and reporting.
A key aspect of this role is providing thought leadership and architecting efficient, large-scale data transformation systems within Snowflake. You will have demonstrated experience architecting data solutions for SaaS companies, specifically within the Go-To-Market (GTM), Marketing, Customer Experience, and Financial business domains. Working as a strategic advisor to BI analysts, Data Scientists, and business leadership, you will drive the organization's data strategy, ensure data accessibility, and foster data democratization across the enterprise.
This full-time position reports to the Director of Analytics Engineering and is based in Smartsheet’s corporate offices in Bengaluru, India.
You Will:
- Lead the end-to-end system design and architecture for large, complex analytics systems, optimizing data transformations from our data lake in Snowflake into analytical data products (DWs).
- Define and drive the adoption of design standards, architectural principles, and data modeling methodologies (including Data Vault (DV 2.0) and dimensional modeling) across the organization.
- Propose and drive strategic initiatives and coordinate the technical roadmap for analytical systems across the engineering organization partnering closely with the Big Data Platforms (BDP) team.
- Serve as the data architect for critical SaaS business domains, including Go-To-Market, Marketing, Customer Experience, and Finance, translating ambiguous business problems into scalable technical analytical solutions.
- Develop and implement the organization's data strategy for data quality, observability, and testing, raising the bar for engineering quality.
- Architect and guide teams to build and maintain a governed, robust, reliable, and scalable analytics system leveraging Gen AI capabilities including AI-assisted code development practices.
- Act as a trusted advisor to BI analysts, data scientists, and business leaders, educating and advising leadership on technical data topics and data accessibility strategies.
- Foster data democratization via activation of data on critical platforms like Smartsheet Platform, Amplitude, ThoughtSpot, Gainsight & Salesforce.
- Actively mentor analytics engineers and provide mentorship across disciplines, leading forums such as guilds, design reviews, and engineering forums.
- Collaborate with cross-functional teams to assess data privacy needs and define data masking strategies aligned with industry compliance standards (e.g., GDPR, HIPAA, CCPA).
You Have:
- 12+ years of experience in advanced data modeling, data architecture, and data warehousing. This role is expected to do development activities in combination of the data architecture scope, so hands-on experience is necessary.
- Deep expertise and 10+ years of hands-on experience with Data Vault (DV 2.0) and Dimensional Modeling.
- Expert-level knowledge of modern data stacks, including Snowflake, dbt, and data orchestration tools (e.g., Airflow, GitLab pipelines).
- Proven experience architecting and building analytical products for SaaS companies in GTM, Marketing, Customer Experience, and Financial data domains.
- Comprehensive understanding of data topologies (e.g., data mesh, hub/spoke) and data modeling methodologies (e.g., Data Vault, Kimball, Inmon).
- Demonstrated ability to drive clarity in ambiguous environments where the strategy may not be defined.
- Proven experience with building and maintaining business analytics layers and semantic layers to enable self-service for non-technical end-users.
- Strong production experience supporting and maintaining analytics/data warehouse solutions with mission-critical datasets.
- Exceptional communication skills, with experience educating and advising senior leadership and mentoring teams across disciplines.
- Strong knowledge of data governance principles, CI/CD practices (e.g., GitLab), self-serve analytics tools (e.g., Amplitude, ThoughtSpot), and cloud architectures (AWS preferred).
Get to Know Us:
At Smartsheet, your ideas are heard, your potential is supported, and your contributions have real impact. You’ll have the freedom to explore, push boundaries, and grow beyond your role. We welcome diverse perspectives and nontraditional paths—because we know that impact comes from individuals who care deeply and challenge thoughtfully. When you’re doing work that stretches you, excites you, and connects you to something bigger, that’s magic at work. Let’s build what’s next, together.
Equal Opportunity Employer:
Smartsheet is an Equal Opportunity (EEO) employer committed to fostering an inclusive environment with the best employees. It is our policy to provide equal employment opportunities to all qualified applicants in accordance with applicable laws in the US, UK, Australia, Germany, Costa Rica, Japan, Bulgaria, and India. All qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran or disabled status, or genetic information.
If there are preparations we can make to help ensure you have a comfortable and positive interview experience, please let us know.
#LI-Remote
Ready to apply?
Apply to Smartsheet
Principal Data Engineer / Architect - Individual Contributor
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For over 20 years, Smartsheet has helped people and teams achieve–well, anything. From seamless work management to smart, scalable solutions, we’ve always worked with flow. We’re building tools that empower teams to automate the manual, uncover insights, and scale smarter. But more than that, we’re creating space– space to think big, take action, and unlock the kind of work that truly matters. Because when challenge meets purpose, and passion turns into progress, that’s magic at work, and it’s what we show up for everyday.
Our India Global Capability Center isn't just supporting global operations—we’re leading global innovation. After scaling rapidly into a best-in-class hub, we deliver the product innovation and enterprise capabilities that accelerate our global growth, profitability, and scale. As we expand Smartsheet India, we’re searching for Principal Data & AI/ML Ops Engineers, who crave variety and ownership. You’ll have the opportunity to work across multiple teams and disciplines, building a versatile skillset while solving the complex challenges of a global platform.
You Will:
- Data Architecture and Design: Designing and overseeing the architecture of scalable and reliable data platforms, including data pipelines, storage solutions, and processing systems
- Data Modelling and Management:Developing and implementing data models, ensuring data quality, and establishing data governance policies
- Data Pipeline Development: Building and optimising data pipelines for ingesting, processing, and transforming large datasets from various sources
- Performance Optimisation: Identifying and resolving performance bottlenecks in data pipelines and systems, ensuring efficient data retrieval and processing
- Technology Evaluation and Innovation: Staying abreast of emerging data technologies and exploring opportunities for innovation to improve the organisation’s data infrastructure
- Troubleshooting and Problem Solving: Diagnosing and resolving complex data-related issues, ensuring the stability and reliability of the data platform
- Data Security and Compliance: Implementing data security measures, ensuring compliance with data governance policies, and protecting sensitive data
- Perform other duties as assigned
You Have:
- Enterprise SaaS software solutions with high availability and scalability
- Solution handling large scale structured and unstructured data from varied data sources
- Experience in building and maintaining data platform systems such as distributed compute, data orchestration, distributed storage, streaming infrastructure ensuring scalability, reliability, efficiency and security
- Working with Product engineering team to influence designs with data, AI and analytics use cases in mind
- In depth experience in System design involving large Petabytes of data with Databricks Lakehouse
- Experience in modern AI/Data infrastructure patterns, Semantics layer Organizing data for AI agents (metadata, context)
- AI/MLOps workflows on Databricks , MLFlow, Mosaic AI Agent Framework, Unity Catalog, Vector Search, Knowledge Graph
- Knowledge of AI/ML frameworks like LangChain, LangGraph for AI/ML Ops pipeline integration
- Cloud Platforms: Hands-on experience with at least one major cloud provider (AWS, Azure, or GCP). Experience in AWS hosted data platform is preferable
- Programming languages like Python, SQL, and potentially Java or Scala
- Exposure to Snowflake and Data pipeline frameworks like Airbyte/Airflow is preferable
- Modern software engineering practices like Kubernetes, CI/CD, IAC tools (Preferably Terraform), Observability, monitoring and alerting
- Solution Cost Optimisations and design to cost
- Driving engineering excellence initiatives
- Legally eligible to work in India on an ongoing basis
Get to Know Us:
At Smartsheet, your ideas are heard, your potential is supported, and your contributions have real impact. You’ll have the freedom to explore, push boundaries, and grow beyond your role. We welcome diverse perspectives and nontraditional paths—because we know that impact comes from individuals who care deeply and challenge thoughtfully. When you’re doing work that stretches you, excites you, and connects you to something bigger, that’s magic at work. Let’s build what’s next, together.
Equal Opportunity Employer:
Smartsheet is an Equal Opportunity (EEO) employer committed to fostering an inclusive environment with the best employees. It is our policy to provide equal employment opportunities to all qualified applicants in accordance with applicable laws in the US, UK, Australia, Germany, Costa Rica, Japan, Bulgaria, and India. All qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran or disabled status, or genetic information.
If there are preparations we can make to help ensure you have a comfortable and positive interview experience, please let us know.
#LI-Remote
Ready to apply?
Apply to Smartsheet
Toast creates technology to help restaurants and local businesses succeed in a digital world, helping business owners operate, increase sales, engage customers, and keep employees happy.
As Senior Analyst in our Model Risk Management team, you will help manage the Model Risk Program including completing model validation reviews, maintaining the model risk inventory, and monitoring model performance particularly for Fraud and Gen AI Models. You will work closely with the Data Science Team, architects, engineers and product managers to assess the risk of model design, implementation, and use across product lines.
A day in the life (Responsibilities)
- Support the implementation and day-to-day execution of the Second Line of Defense (2LOD) Model Risk Management (MRM) program for high-risk models, with particular focus on Fraud detection models (Transaction Fraud & Merchant Fraud) and Generative AI / LLM-based systems deployed across Toast.
- Assist in maintaining and enhancing the Model Risk Management framework, including policies, procedures, validation standards, governance documentation, templates, and best practices aligned with evolving regulatory and industry expectations.
- Enforce model lifecycle standards across development, implementation, use, monitoring, recalibration, change management, governance, and decommissioning, ensuring appropriate controls for traditional ML models as well as GenAI systems (e.g., RAG architectures, copilots, AI-assisted decision tools).
- Contribute to the development, risk-tiering, and ongoing maintenance of a comprehensive model inventory, including assessment of model impact, intrinsic risk (complexity and methodology), reliance on model outputs, and emerging AI-specific risks.
- Perform independent model validation reviews under the guidance of senior leadership, covering conceptual soundness, data integrity, model methodology, performance metrics (e.g., AUC, precision/recall, calibration), stability, bias/fairness risk, explainability, and monitoring frameworks. Produce validation reports and track issue remediation plans through closure.
- For Fraud models, evaluate class imbalance handling, threshold optimization, cost-sensitive performance metrics, operational overlays, rule-based controls, and portfolio-level impact analyses.
- For Generative AI systems, validate systems and evaluate risks related to hallucination, prompt injection, adversarial vulnerabilities, data privacy and leakage, model explainability limitations, bias, guardrails, output monitoring, jailbreak testing, regression testing, and human-in-the-loop controls.
- Partner with Data Science, Data Engineering, Product/Engineering, Information Security, Legal/Compliance, Finance, Credit Risk and Business teams to obtain documentation, perform effective challenge, conduct validation and oversee performance monitoring
- Prepare reports and executive materials summarizing model risk issues, validation findings, monitoring insights, and remediation status for leadership review, risk committees, audit committees, and internal audit engagements.
- Research and stay informed on industry developments in fraud analytics, machine learning, Generative AI governance, and regulatory guidance (e.g., SR 11-7, OCC 2011-12, NIST AI RMF). Propose enhancements to strengthen Toast’s Model Risk and AI Governance framework.
- Contribute to the development of model risk training materials and support delivery of training sessions to key stakeholders to enhance awareness of fraud model risk and AI-related risks.
- Support ad-hoc initiatives related to model risk governance, AI oversight, regulatory compliance, and enterprise risk management enhancements.
What you'll need to thrive (Requirements)
- Advanced degree in Data Science, Statistics, Applied Mathematics, Computer Science, Engineering, or a related quantitative discipline
- 5+ years of relevant industry experience in Model Risk Management, Model Validation, Data Science, or Machine Learning within fintech, banking, payments, technology, or consulting environments, with exposure to fraud analytics, credit risk, or AI/ML model governance.
- Strong understanding of machine learning methodologies and statistical foundations, including model development, validation techniques, performance evaluation, calibration, and stability analysis.
- Hands-on experience with fraud detection models (e.g., transaction monitoring, chargeback prediction, merchant risk scoring) and familiarity with concepts such as class imbalance handling, threshold optimization, precision/recall trade-offs, and cost-sensitive evaluation.
- Familiarity with Generative AI and LLM-based systems (e.g., RAG architectures, embeddings, prompt engineering, AI copilots) and awareness of associated risks such as hallucination, bias, prompt injection, and data leakage.
- Strong proficiency in Python and SQL; experience with data science and ML tools such as Spark, scikit-learn, XGBoost, LightGBM, TensorFlow, or PyTorch. Familiarity with software engineering best practices (version control, CI/CD, testing frameworks, Airflow, AWS or cloud platforms) is a plus.
- Knowledge of model risk management frameworks and regulatory guidance (e.g., SR 11-7, OCC 2011-12) and familiarity with emerging AI governance frameworks (e.g., NIST AI RMF) is highly desirable.
- Ability to translate complex quantitative methodologies into clear business insights and effectively challenge first-line model development teams while maintaining strong cross-functional partnerships.
- Demonstrated critical thinking, analytical rigor, and structured problem-solving skills, with the ability to manage multiple priorities and deliver high-quality outputs under tight deadlines.
- Excellent written and verbal communication skills, including experience drafting formal validation reports, executive summaries, and committee-level materials.
AI at Toast
At Toast, one of our company values is that we're hungry to build and learn. We believe learning new AI tools empowers us to build for our customers faster, more independently, and with higher quality. We provide these tools across all disciplines, from Engineering and Product to Sales and Support, and are inspired by how our Toasters are already driving real value with them. The people who thrive here are those who embrace changes that let us build more for our customers; it’s a core part of our culture.
Our Total Rewards Philosophy
We strive to provide competitive compensation and benefits programs that help to attract, retain, and motivate the best and brightest people in our industry. Our total rewards package goes beyond great earnings potential and provides the means to a healthy lifestyle with the flexibility to meet Toasters’ changing needs. Learn more about our benefits at https://careers.toasttab.com/toast-benefits.
How Toast Uses AI in its Hiring Process
Throughout the hiring process, our goal is to get to know you. We use AI tools to support our recruiters and interviewers with tasks like note-taking, summarization, and documentation of interviews to ensure they can be fully focused on your conversation. All hiring decisions are made by people. To learn more: https://careers.toasttab.com/ai-in-hiring
Diversity, Equity, and Inclusion is Baked into our Recipe for Success
At Toast, our employees are our secret ingredient—when they thrive, we thrive. The restaurant industry is one of the most diverse, and we embrace that diversity with authenticity, inclusivity, respect, and humility. By embedding these principles into our culture and design, we create equitable opportunities for all and raise the bar in delivering exceptional experiences.
We Thrive Together
We embrace a hybrid work model that fosters in-person collaboration while valuing individual needs. Our goal is to build a strong culture of connection as we work together to empower the restaurant community. To learn more about how we work globally and regionally, check out: https://careers.toasttab.com/locations-toast.
Apply today!
Toast is committed to creating an accessible and inclusive hiring process. As part of this commitment, we strive to provide reasonable accommodations for persons with disabilities to enable them to access the hiring process. If you need an accommodation to access the job application or interview process, please contact candidateaccommodations@toasttab.com.
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For roles in the United States, it is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
Ready to apply?
Apply to Toast
Software Engineer, Backend
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About the Team
Come help us build the world's most reliable on-demand, logistics engine for delivery! We're bringing on experienced engineers to help us further our 24x7, global infrastructure system that powers DoorDash’s three-sided marketplace of consumers, merchants, and dashers.
About the Role
The Data User Platform and Programs team works at the intersection of data infrastructure, reliability, governance, developer tooling and AI systems, supporting thousands of internal data users including engineers, analysts, data scientists and business stakeholders.
This role is part of a founding engineering team in India, offering high ownership, strong growth opportunities, and direct influence over the platform’s long-term architecture.
You will work on systems such as:
- Platform foundations for reliability, observability, cost-efficiency and compliance
- A unified data discovery and catalog experience
- AI-powered assistants and workflows for analytics and operations
You will collaborate closely with product managers, data engineers, and analytics teams to deliver solutions that reduce friction and increase trust across the data ecosystem.
You’re excited about this opportunity because you will…
- Improve scalability, performance, and reliability of data platform services through strong engineering practices
- Build and operate data discovery and metadata platforms that help users find the right datasets, dashboards, and metrics quickly and confidently
- Develop AI-enabled services and workflows, including self-serve tooling for creating, evaluating, and improving AI assistants
- Add observability, monitoring, and operational tooling to maintain platform SLAs and reduce incident response time
- Drive cost-efficient data platform design by identifying underutilized, redundant, or idle datasets, services, and compute resources
- Embed cost awareness into the data lifecycle, including:
- Designing systems that encourage reuse over duplication
- Instrumenting usage and cost signals into platform services
- Supporting safe deprecation and cleanup of stale data assets
- Partner with cross-functional teams in a fast-moving, product-driven environment
We’re excited about you because…
- B.E./B.Tech., M.E./M.Tech, or Ph.D. in Computer Science or equivalent
- 3+ years of experience with CS fundamental concepts and experience with at least one of the programming languages of Go, Java, and Python
- Prior technical experience in Big Data infrastructure, Cost Efficiency & Governance, you've built meaningful pieces of data infrastructure. Bonus if those were open-sourced technologies like Spark, Clickhouse, Iceberg and Airflow
- Experience improving efficiency, scalability, and stability of data platforms
- Experience building or operating backend systems in production environments
Notice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC Only
We use Covey as part of our hiring and/or promotional process for jobs in NYC and certain features may qualify it as an AEDT in NYC. As part of the hiring and/or promotion process, we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound from August 21, 2023, through December 21, 2023, and resumed using Covey Scout for Inbound again on June 29, 2024.
The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here: Covey
About DoorDash
At DoorDash, our mission to empower local economies shapes how our team members move quickly, learn, and reiterate in order to make impactful decisions that display empathy for our range of users—from Dashers to merchant partners to consumers. We are a technology and logistics company that started by enabling door-to-door delivery, and we are looking for team members who can help us go from a company that is known as the place you order food to a company that people turn to for any and all goods.
DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. We're committed to supporting employees’ happiness, healthiness, and overall well-being by providing comprehensive benefits and perks.
Our Commitment to Diversity and Inclusion
We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.
If you need any accommodations, please inform your recruiting contact upon initial connection.
We use Covey as part of our hiring and/or promotional process for jobs in certain locations.
The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here: https://getcovey.com/nyc-local-law-144
To request a reasonable accommodation under applicable law or alternate selection process, please inform your recruiting contact upon initial connection.
Ready to apply?
Apply to DoorDash India
Senior Software Engineer, Backend
Share this job
About the Team
Come help us build the world's most reliable on-demand, logistics engine for delivery! We're bringing on experienced engineers to help us further our 24x7, global infrastructure system that powers DoorDash’s three-sided marketplace of consumers, merchants, and dashers.
About the Role
The Data User Platform and Programs team works at the intersection of data infrastructure, reliability, governance, developer tooling and AI systems, supporting thousands of internal data users including engineers, analysts, data scientists and business stakeholders.
This role is part of a founding engineering team in India, offering high ownership, strong growth opportunities, and direct influence over the platform’s long-term architecture.
You will work on systems such as:
- Platform foundations for reliability, observability, cost-efficiency and compliance
- A unified data discovery and catalog experience
- AI-powered assistants and workflows for analytics and operations
You will collaborate closely with product managers, data engineers, and analytics teams to deliver solutions that reduce friction and increase trust across the data ecosystem.
You’re excited about this opportunity because you will…
- Improve scalability, performance, and reliability of data platform services through strong engineering practices
- Build and operate data discovery and metadata platforms that help users find the right datasets, dashboards, and metrics quickly and confidently
- Develop AI-enabled services and workflows, including self-serve tooling for creating, evaluating, and improving AI assistants
- Add observability, monitoring, and operational tooling to maintain platform SLAs and reduce incident response time
- Drive cost-efficient data platform design by identifying underutilized, redundant, or idle datasets, services, and compute resources
- Embed cost awareness into the data lifecycle, including:
- Designing systems that encourage reuse over duplication
- Instrumenting usage and cost signals into platform services
- Supporting safe deprecation and cleanup of stale data assets
- Partner with cross-functional teams in a fast-moving, product-driven environment
We’re excited about you because…
- B.E./B.Tech., M.E./M.Tech, or Ph.D. in Computer Science or equivalent
- 6+ years of experience with CS fundamental concepts and experience with at least one of the programming languages of Go, Java, and Python
- Prior technical experience in Big Data infrastructure, Cost Efficiency & Governance, you've built meaningful pieces of data infrastructure. Bonus if those were open-sourced technologies like Spark, Clickhouse, Iceberg and Airflow
- Experience improving efficiency, scalability, and stability of data platforms
- Experience building or operating backend systems in production environments
Notice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC Only
We use Covey as part of our hiring and/or promotional process for jobs in NYC and certain features may qualify it as an AEDT in NYC. As part of the hiring and/or promotion process, we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound from August 21, 2023, through December 21, 2023, and resumed using Covey Scout for Inbound again on June 29, 2024.
The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here: Covey
About DoorDash
At DoorDash, our mission to empower local economies shapes how our team members move quickly, learn, and reiterate in order to make impactful decisions that display empathy for our range of users—from Dashers to merchant partners to consumers. We are a technology and logistics company that started by enabling door-to-door delivery, and we are looking for team members who can help us go from a company that is known as the place you order food to a company that people turn to for any and all goods.
DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. We're committed to supporting employees’ happiness, healthiness, and overall well-being by providing comprehensive benefits and perks.
Our Commitment to Diversity and Inclusion
We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.
If you need any accommodations, please inform your recruiting contact upon initial connection.
We use Covey as part of our hiring and/or promotional process for jobs in certain locations.
The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here: https://getcovey.com/nyc-local-law-144
To request a reasonable accommodation under applicable law or alternate selection process, please inform your recruiting contact upon initial connection.
Ready to apply?
Apply to DoorDash India
Software Engineer, Data Engineer II
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About the Team
Data is at the foundation of DoorDash success. The Data Engineering team builds database solutions for various use cases including reporting, product analytics, marketing optimization and financial reporting. Team serves as the foundation for decision-making at DoorDash.
About the Role
DoorDash is looking for a Software Engineer, Data to be a technical powerhouse to help us scale our data reliability, data infrastructure, automation and tools to meet growing business needs.
You’re excited about this opportunity because you will…
- Own critical data systems that support multiple products/teams
- Develop, implement and enforce best practices for data infrastructure and automation
- Design, develop and implement large scale, high volume, high performance data models and pipelines for Data Lake and Data Warehouse
- Improve the reliability and scalability of our Ingestion, data processing, ETLs, Reporting tools and data ecosystem services
- Manage a portfolio of data products that deliver high-quality, trustworthy data
- Help onboard and support other engineers as they join the team
We’re excited about you because…
- 3+ years of professional experience
- 3+ years experience working in data platform and data engineering or a similar role
- Proficiency in programming languages such as Python/Kotlin/Scala
- 3+ years of experience in ETL orchestration and workflow management tools like Airflow
- Expert in database fundamentals, SQL, data reliability practices and distributed computing
- 3+ years of experience with the Distributed data/similar ecosystem (Spark, Presto) and streaming technologies such as Kafka/Flink/Spark Streaming
- Excellent communication skills and experience working with technical and non-technical teams and knowledge of reporting tools
- Comfortable working in fast paced environment, self starter and self organizing
- Ability to think strategically, analyze and interpret market and consumer information
- You must be located near one of our engineering hubs indicated above
Notice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC Only
We use Covey as part of our hiring and/or promotional process for jobs in NYC and certain features may qualify it as an AEDT in NYC. As part of the hiring and/or promotion process, we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound from August 21, 2023, through December 21, 2023, and resumed using Covey Scout for Inbound again on June 29, 2024.
The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here: Covey
About DoorDash
At DoorDash, our mission to empower local economies shapes how our team members move quickly, learn, and reiterate in order to make impactful decisions that display empathy for our range of users—from Dashers to merchant partners to consumers. We are a technology and logistics company that started by enabling door-to-door delivery, and we are looking for team members who can help us go from a company that is known as the place you order food to a company that people turn to for any and all goods.
DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. We're committed to supporting employees’ happiness, healthiness, and overall well-being by providing comprehensive benefits and perks.
Our Commitment to Diversity and Inclusion
We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.
If you need any accommodations, please inform your recruiting contact upon initial connection.
We use Covey as part of our hiring and/or promotional process for jobs in certain locations.
The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here: https://getcovey.com/nyc-local-law-144
To request a reasonable accommodation under applicable law or alternate selection process, please inform your recruiting contact upon initial connection.
Ready to apply?
Apply to DoorDash India
Analytics Engineer, India
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About the Team
The Analytics Engineering team at DoorDash is embedded within the Analytics and Data Engineering Orgs, and is responsible for building internal data products that scale decision-making across business teams and drive efficiency in our operations. Data is fundamental to DoorDash’s success, and this team plays a critical role in enabling high-impact, data-driven solutions across Product, Operations, Finance, and more.
About the Role
As an Analytics Engineer, you’ll play a key role in building and scaling the data foundations that enable fast, reliable, and actionable insights. You’ll work closely with partner teams to drive end-to-end analytics initiatives; working alongside Data Engineers, Data Scientists, Software Engineers, Product Managers, and Operators.
This is a highly technical role where you'll be a driving force behind the analytics stack, delivering trusted data and metrics that support decision-making at all levels of the company. If you're energized by solving technical problems with data and comfortable being deeply embedded across several domains, this role is for you!
You’re excited about this opportunity because you will…
- Collaborate with data scientists, data engineers, and business stakeholders to understand business needs, and translate that scope into data requirements
- Identify key business questions and problems to solve for, and generate insights by developing structured solutions to resolve them
- Lead the development of data products and self-serve tools that enable analytics to scale across the company
- Build and maintain canonical datasets by developing high-volume, reliable ETL/ELT pipelines using data lake and data warehousing concepts
- Design metrics and data visualizations with dashboarding tools like Tableau, Sigma, and Mode
- Be a cross-functional champion at upholding high data integrity standards to increase reusability, readability and standardization
We’re excited about you because…
- 5+ years of experience working in business intelligence, analytics engineering, data engineering, or a similar role
- Strong proficiency in SQL for data transformation, comfort in at least one functional/OOP language such as Python or Scala
- Expertise in creating compelling reporting and data visualization solutions using dashboarding tools (e.g., Looker, Tableau, Sigma)
- Familiarity with database fundamentals (e.g., S3, Trino, Hive, Spark), and experience with SQL performance tuning
- Experience in writing data quality checks to validate data integrity (e.g., Pydeequ, Great Expectations)
- Excellent communication skills and experience working with technical and non-technical teams
- Comfortable working in fast fast-paced environment, self-starter, and self-organizer
- Ability to think strategically, analyze, and interpret market and consumer information
Nice to Have
- Experience with modern data warehousing platforms (e.g., Snowflake, Databricks, Redshift) and ability to optimize performance
- Experience building multi-step ETL jobs coupled with orchestrating workflows (e.g. Airflow, Dagster, DBT)
- Familiarity with experimentation concepts like A/B testing and their data requirements
Notice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC Only
We use Covey as part of our hiring and/or promotional process for jobs in NYC and certain features may qualify it as an AEDT in NYC. As part of the hiring and/or promotion process, we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound from August 21, 2023, through December 21, 2023, and resumed using Covey Scout for Inbound again on June 29, 2024.
The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here: Covey
About DoorDash
At DoorDash, our mission to empower local economies shapes how our team members move quickly, learn, and reiterate in order to make impactful decisions that display empathy for our range of users—from Dashers to merchant partners to consumers. We are a technology and logistics company that started by enabling door-to-door delivery, and we are looking for team members who can help us go from a company that is known as the place you order food to a company that people turn to for any and all goods.
DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. We're committed to supporting employees’ happiness, healthiness, and overall well-being by providing comprehensive benefits and perks.
Our Commitment to Diversity and Inclusion
We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.
If you need any accommodations, please inform your recruiting contact upon initial connection.
We use Covey as part of our hiring and/or promotional process for jobs in certain locations.
The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here: https://getcovey.com/nyc-local-law-144
To request a reasonable accommodation under applicable law or alternate selection process, please inform your recruiting contact upon initial connection.
Ready to apply?
Apply to DoorDash India
Staff Software Engineer, Data Engineering
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About the Team
Data is at the foundation of DoorDash success. The Data Engineering team builds database solutions for various use cases including reporting, product analytics, marketing optimization and financial reporting. Team serves as the foundation for decision-making at DoorDash.
About the Role
DoorDash is looking for a Staff Software Engineer, Data to be a technical lead and help architect and scale our data reliability, data infrastructure, automation and tools to meet growing business needs.
You’re excited about this opportunity because you will…
- Own critical data systems that support multiple products/teams
- Develop, implement and enforce best practices for data infrastructure and automation
- Design, develop and implement large scale, high volume, high performance data models and pipelines for Data Lake and Data Warehouse
- Improve the reliability and scalability of our Ingestion, data processing, ETLs, Reporting tools and data ecosystem services
- Manage a portfolio of data products that deliver high-quality, trustworthy data
- Help onboard and support other engineers as they join the team
We’re excited about you because…
- 8+ years of professional experience as a hands-on engineer and technical leader leading multiple projects
- 6+ years experience working in data platform and data engineering or a similar role
- Proficiency in programming languages such as Python/Kotlin/Scala
- 4+ years of experience in ETL orchestration and workflow management tools like Airflow
- Expert in database fundamentals, SQL, data reliability practices and distributed computing
- 4+ years of experience with the Distributed data/similar ecosystem (Spark, Presto) and streaming technologies such as Kafka/Flink/Spark Streaming
- Excellent communication skills and experience working with technical and non-technical teams and knowledge of reporting tools
- Comfortable working in fast paced environment, self starter and self organizing
- Ability to think strategically, analyze and interpret market and consumer information
- You must be located near one of our engineering hubs indicated above
We use Covey as part of our hiring and / or promotional process for jobs in NYC and certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on June 20, 2024.
Please see the independent bias audit report covering our use of Covey here.
About DoorDash
At DoorDash, our mission to empower local economies shapes how our team members move quickly, learn, and reiterate in order to make impactful decisions that display empathy for our range of users—from Dashers to merchant partners to consumers. We are a technology and logistics company that started by enabling door-to-door delivery, and we are looking for team members who can help us go from a company that is known as the place you order food to a company that people turn to for any and all goods.
DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. We're committed to supporting employees’ happiness, healthiness, and overall well-being by providing comprehensive benefits and perks.
Our Commitment to Diversity and Inclusion
We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.
If you need any accommodations, please inform your recruiting contact upon initial connection.
We use Covey as part of our hiring and/or promotional process for jobs in certain locations.
The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here: https://getcovey.com/nyc-local-law-144
To request a reasonable accommodation under applicable law or alternate selection process, please inform your recruiting contact upon initial connection.
Ready to apply?
Apply to DoorDash India
What we want to accomplish and why we need you.
Suki is a leading technology company that provides AI voice solutions for healthcare. Its mission is to reimagine the healthcare technology stack, making it invisible and assistive to lift the administrative burden from clinicians. Its flagship product is Suki Assistant, an AI assistant that uses generative AI to automatically create clinical documentation by ambiently listening to patient-clinician conversations. Suki helps clinicians complete notes 72% faster on average, assists with other tasks including coding and answering questions, and generates incremental revenue for organizations, delivering a 9X ROI in year 1. Suki also offers its proprietary AI and speech platform, Suki Platform, to partners who want to create best-in-class ambient and voice experiences for their solutions. Clinicians that use Suki already spend over 70% less time on administrative tasks, and we’re striving to do even better. Come and join us!
We are a user-driven company and are committed to making sure every pixel of our product is in service of the doctors. We’re a team of technologists, clinicians, and industry experts working together to push the limits on technology used in medicine. We’re confident enough to move fast and talented enough not to break things.
What will you do every day?
We are looking for a Software Architect to join our Engineering team. Suki's architecture practice is at an inflection point. We have sustained significant CCU growth, completed a demanding OLTP Database scaling journey, leveraged Redis Streams based service orchestration, deployed self-hosted ML models, built agent-driven workflows, launched an Offline Data Platform, and maintained a client surface spanning iOS, Android, Web, SDKs, and a Chrome extension — with on-device ML capabilities across all of them.
The Architect is the person who holds institutional memory and architectural coherence across this surface area — so that decisions made in isolation don't quietly contradict each other, patterns are reused rather than reinvented, and deviations from established patterns are documented, not silently absorbed. The work ahead includes enhanced agentic capabilities, continued multi-region expansion, investments on stream-based/offline data processing, and a growing ML inference footprint.
On a day to day basis, you will:
- Maintain architectural coherence across a complex and wide surface area.
- Own the load-bearing substrate through future growth and failure scenarios. The system must survive several multiples of current enterprise scale and every class of infrastructure event we can name.
- Drive the structural decomposition of platform and domain boundaries, service boundaries across the microservice portfolio, agentic framework direction, auth and access-control architecture, and cross-cutting concerns like observability and rate limiting.
- Bridge AI research and production infrastructure. Translate LLM and model requirements into efficient, production-grade services. Lead the agentic framework direction — memory architectures, tool orchestration, A2A patterns, semantic caching. Operate a GPU fleet at high duty cycle and understand dynamic batching, cross-session batching tradeoffs, and HPA calibration for GPU workloads.
- Document architectural patterns and deviations. Write Architectural Design Records, RFCs, and breaking-points documents that stand alone for readers unfamiliar with the context. Document deviations from established patterns with their reasons — not as failures, but as data points.
- Remain hands-on — stay connected to the craft, read and write code. Prototype new architectures. Review pull requests for patterns that matter. Implement the hard parts of a new pattern yourself when it matters. Lead resolution of the most critical incidents.
- Mentor and elevate the engineering organization. Act as a technical multiplier for senior engineers across backend, data, and ML disciplines. Hold a room, defend a position under pushback without collapsing into agreement, and adjust register for engineering vs. product vs. leadership audiences. Foster a culture of deep technical understanding, not just pattern-matching.
- Represent Suki’s architecture and engineering both in internal and external forums through technical blogs, conferences and meetups
QUALIFICATIONS
- Bachelor's or Master's degree in Computer Science or a related field, or equivalent production experience
- 10+ years of professional software engineering experience, with a proven track record operating at an Architect, Staff, or Principal level
- Expert-level proficiency in Go or Python, with the ability to lead architectural decisions and remain hands-on in code
- Production ownership of a real-time streaming system (Redis Streams, Kafka, Pulsar, or equivalent) at scale — including personal pager experience and a specific debugging story for a duplicate-processing or lost-message bug
- Experience operating multi-TB storage systems with active OLTP traffic
- Hands-on experience with offline/batch architectures: Airflow or equivalent orchestration, columnar formats (Iceberg, Delta, or Hudi), and warehouse-scale query engines (BigQuery, Snowflake, or Redshift)
- Experience designing and operating GPU inference infrastructure at scale, including dynamic batching, Triton/TensorRT, and HPA calibration for GPU workloads — or equivalent ML inference platform depth
- Experience integrating and scaling systems using LLM APIs or foundation models, with opinions about agent framework design, memory architectures, and tool orchestration
- Demonstrated experience navigating product-vs-platform decomposition in a real organization — including having been wrong, and articulating what the reversing signal was
- Proven ability to reason about client-side implications of backend decisions across native mobile, web, SDK, and browser extension surfaces
- Familiarity with healthcare-adjacent regulation (HIPAA, PIPEDA, PHIPA, SOC2, or HITRUST) as a design constraint, not just a compliance requirement, will be a strong plus
- Strong experience with GCP, Kubernetes, Docker, gRPC, and Protocol Buffers; multi-region architecture and data residency design will be a strong plus
What We're Looking For
- Distinguished Technical Expertise: You are a recognized expert with a proven history of architecting, building, and operating complex systems with a strong software engineering talent.
- Strategic, Systems-Level Thinker: You look beyond immediate requirements to anticipate future challenges. You can navigate deep ambiguity, identify long-term risks, and make high-judgment decisions that balance technical purity with business velocity.
- Pragmatic and Action-Oriented: You have a bias for action and a data-driven approach to problem-solving. You understand the entire lifecycle of an ML-powered feature, from data to deployment, and know how to ship robust solutions quickly.
- Leadership Through Influence: You have a demonstrated ability to lead complex, cross-functional technical initiatives without direct authority. You build
Tell me more about Suki
- On a roll: Named by Fast Company as one of the most innovative companies, named Google’s Partner of the Year for AI/ML, named by Forbes as one of the top 50 companies in AI .
- Great team: Founded, managed, and backed by successful tech veterans from Google and Apple and medical leaders from UCSF and Stanford. We have technologists and doctors working side-by-side to solve complex problems.
- Great investors: We’re backed by Venrock, First Round Capital, Flare Capital, March Capital, Hedosophia and others. With our $165M raised so far, we have the resources to scale.
- Huge market: Disrupting a massive, growing $30+ billion market for transcription, dictation, and order-entry solutions. Our vision is to become the voice user interface for healthcare, relieving the administrative burden on doctors instead of adding to it.
- Great customers: Our solutions are used in health systems and clinics across the country, supporting clinicians across dozens of specialties. Check out what one of our users says about how Suki has helped his practice.
- Impact: You’ll make an impact from day one. You’ll join a team working towards a shared purpose with a culture built upon deep empathy for doctors and passion for making their lives better.
Suki is an Equal Opportunity Employer. We are dedicated to building a company that fosters inclusion and belonging and reflects the diverse communities we serve across the country. We know we are stronger this way, and we look forward to growing our team with these shared values.
Ready to apply?
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Senior Staff Software Engineer ( Machine learning Platform)
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About Tekion:
Positively disrupting an industry that has not seen any innovation in over 50 years, Tekion has challenged the paradigm with the first and fastest cloud-native automotive platform that includes the revolutionary Automotive Retail Cloud (ARC) for retailers, Automotive Enterprise Cloud (AEC) for manufacturers and other large automotive enterprises and Automotive Partner Cloud (APC) for technology and industry partners. Tekion connects the entire spectrum of the automotive retail ecosystem through one seamless platform. The transformative platform uses cutting-edge technology, big data, machine learning, and AI to seamlessly bring together OEMs, retailers/dealers and consumers. With its highly configurable integration and greater customer engagement capabilities, Tekion is enabling the best automotive retail experiences ever. Tekion employs close to 3,000 people across North America, Asia and Europe.
Why This Role Matters
This role powers Tekion’s AI‑native, end‑to‑end automotive platform by turning unified dealership data across DMS, CRM, Digital Retail, Service, and Payments into real‑time intelligence. You’ll operationalize a graph‑based contextual ecosystem so agents can retrieve the right context, enforce policy, and personalize experiences that drive measurable dealer outcomes. You’ll also build the resilient control layer - MCP and the LLM Gateway - that enables safe, cost‑efficient, multi‑provider LLM usage. Finally, you’ll define the standards for building, evaluating, deploying, and governing agentic systems so product teams can ship AI features quickly, safely, and at scale. In addition to enabling agentic systems powered by LLMs, this role also drives building the platform for classical ML models driving optimization across dealership operations.
What Makes This Opportunity Unique
This role offers direct, measurable impact on dealer outcomes and consumer experiences across Tekion’s Automotive Retail Cloud and Automotive Enterprise Cloud, with end‑to‑end ownership of an LLM control plane and gateway that serve multi‑tenant workloads under SLAs and, quality and cost guardrails. You’ll leverage a rich vertical dataset and domain graph spanning sales, service, parts, F&I, accounting, and consumer touchpoints to power context‑aware agents and retrieval‑augmented generation. You’ll also shape core levers - agent orchestration patterns, evaluation frameworks, and safety guardrails - so improvements in latency, reliability, evaluation quality, and safety translate into dealer KPIs like upsell, cycle time, CSAT, and service revenue. You’ll also maintain and enhance the platform to support classical supervised and unsupervised ML models .
Responsibilities
- Build and run the LLM control plane/gateway: smart routing, rate limits/quotas, failover, and token/cost tracking.
- Ship a unified API and SDKs (REST/gRPC) with normalized schemas, structured outputs, caching, and full observability (traces/logs/metrics).
- Enforce safety and privacy by default: content filtering, prompt/response validation, and PII redaction.
- Enable multi‑model, multi‑vendor use LLMs with automated canarying and versioning.
- Own the agent runtime: tool registry, permissions, function calling, grounding, and retrieval.
- Design orchestration patterns (sequential, planner‑executor, streaming) and manage agent state and long‑running workflows.
- Enabling platform components for training and scoring pipelines for classical ML (e.g., XGBoost/LightGBM/linear/trees) and deep models; standardize experiment tracking and packaging.
- Create components to Monitor model and data drift, retraining and tuning models as needed to maintain accuracy and relevance.
- Add human‑in‑the‑loop review and safe‑actioning before agents touch dealer systems.
- Evolve the domain graph and entity resolution; build reliable data ingestion pipelines.
- Serve real‑time context to agents (profiles, inventory, pricing, appointments, service history) with access controls and lineage.
- Power retrieval with hybrid search (graph + vector + keyword) and smart cache/TTL to balance accuracy, latency, and cost.
- Run continuous offline/online evaluations for quality, factuality, bias, and safety for the platform sanity.
- Define SLOs for latency (p50/p95), uptime, and cost view capabilities; enable autoscaling and spend controls.
- Maintain a model/agent registry, versioning, approvals, audit trails, and reproducibility; support compliances where needed.
- Provide templates/CLIs, sandboxes, and docs so product teams can build and ship fast; mentor engineers and champion MLOps and AI safety best practices.
Desired Skills & Experience
- 12–15+ years building large‑scale data/ML or platform systems; strong software engineering fundamentals (Abstracted API design, concurrency, distributed systems).
- Production experience with Python plus one of Java/Scala/Go; microservices and API design.
- MLOps at scale: pipelines (Airflow/Kubeflow), tracking/registry (MLflow), CI/CD for models, A/B testing, shadow/canary, and online feature computation (Spark/Flink/Kafka).
- Cloud and containers: AWS (preferred), plus Docker/Kubernetes; performance, reliability, and cost engineering in multi‑tenant SaaS.
- Practical ML knowledge (feature engineering, training, evaluation, drift detection); experience deploying models that power user‑facing workflows.
- Built or operated an LLM gateway/control plane: provider adapters, routing/policies, caching, quota/rate‑limit, cost and token accounting.
- Agentic systems: tool use/function calling, orchestration frameworks, human‑in‑the‑loop, safety/guardrails, and online evaluation/telemetry.
- Graph and retrieval: knowledge graphs (e.g., Neo4j/Neptune/TigerGraph), GraphQL, vector search (e.g., pgvector/Qdrant/Milvus), hybrid retrieval patterns.
Preferred Mindset
- Platform‑as‑product: obsess over developer experience, paved roads, and clear SLAs.
- Thinks in systems - observability, fallback, access control are core, not afterthoughts.
- Passionate about AI - enjoys enabling real-world LLM and agentic use cases.
- Cost‑aware builder: you treat latency and dollars as first‑class metrics and design for graceful degradation.
- Vendor‑agnostic thinker: choose the right model/provider per use case; build for portability and resilience.
- Documentation and teaching: you make complex systems understandable; you uplevel teams.
Tekion is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, victim of violence or having a family member who is a victim of violence, the intersectionality of two or more protected categories, or other applicable legally protected characteristics.
For more information on our privacy practices, please refer to our Applicant Privacy Notice here.
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Senior Data Engineer
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About Us
Abacus Insights is transforming how data works for health plans. Our mission is simple: make healthcare data usable, so the people responsible for care and cost decisions can act faster, with confidence.
We help health plans break down data silos to create a single, trusted data foundation. That foundation powers better decisions —so plans can improve outcomes, reduce waste, and deliver better experiences for members and providers alike.
Backed by $100M from top investors, we’re tackling big challenges in an industry that’s ready for change. Our platform enables GenAI use cases by delivering clean, connected, and reliable healthcare data that can support automation, prioritization, and decision workflows—and it’s why we are leading the way.
Our innovation begins with people. We are bold, curious, and collaborative—because the best ideas come from working together. Ready to make an impact? Join us and let's build the future together.
About the role
We are seeking an accomplished Data Engineer to join our dynamic and rapidly expanding Tech Ops division. With significant projected growth, this is an opportunity to drive meaningful technical impact. In this role, you will work directly with customers, data vendors, and internal engineering teams to design, implement, and optimize complex data integration solutions within a modern, large‑scale cloud environment.
You will leverage advanced skills in distributed computing, data architecture, and cloud-native engineering to enable scalable, resilient, and high‑performance data ingestion and transformation pipelines. As a trusted technical advisor, you will guide customers in adopting Abacus’s core data management platform and ensure high-quality, compliant data operations across the lifecycle.
Your day to day
- Architect, design, and implement high-volume batch and real-time data pipelines using PySpark, SparkSQL, Databricks Workflows, and distributed processing frameworks.
- Build end‑to‑end ingestion frameworks integrating with Databricks, Snowflake, AWS services (S3, SQS, Lambda), and vendor data APIs, ensuring data quality, lineage, and schema evolution.
- Develop data modeling frameworks, including star/snowflake schemas and optimization techniques for analytical workloads on cloud data warehouses.
- Lead technical solution design for health plan clients, creating highly available, fault-tolerant architectures across multi-account AWS environments.
- Translate complex business requirements into detailed technical specifications, engineering artifacts, and reusable components.
- Implement security automation, including RBAC, encryption at rest/in transit, PHI handling, tokenization, auditing, and compliance with HIPAA and SOC 2 frameworks.
- Establish and enforce data engineering best practices, such as CI/CD for data pipelines, code versioning, automated testing, orchestration, logging, and observability patterns.
- Conduct performance profiling and optimize compute costs, cluster configurations, partitions, indexing, and caching strategies across Databricks and Snowflake environments.
- Produce high-quality technical documentation including runbooks, architecture diagrams, and operational standards.
- Mentor junior engineers through technical reviews, coaching, and training sessions for both internal teams and clients.
What you bring to the team
- Bachelor’s degree in Computer Science, Computer Engineering, or a closely related technical field.
- 7+ years of hands‑on experience as a Data Engineer working with large‑scale, distributed data processing systems in modern cloud environments.
- Working knowledge of U.S. healthcare data domains—including claims, eligibility, and provider datasets—and experience applying this knowledge to complex ingestion and transformation workflows.
- Strong ability to communicate complex technical concepts clearly across both technical and non‑technical stakeholders.
- Expert‑level proficiency in Python, SQL, and PySpark, including developing distributed data transformations and performance‑optimized queries.
- Demonstrated experience designing, building, and operating production‑grade ETL/ELT pipelines using Databricks, Airflow, or similar orchestration and workflow automation tools.
- Proven experience architecting or operating large‑scale data platforms using dbt, Kafka, Delta Lake, and event‑driven/streaming architectures, within a cloud‑native data services or platform engineering environment—requiring specialized knowledge of distributed systems, scalable data pipelines, and cloud‑scale data processing.
- Experience working with structured and semi‑structured data formats such as Parquet, ORC, JSON, and Avro, including schema evolution and optimization techniques.
- Strong working knowledge of AWS data ecosystem components—including S3, SQS, Lambda, Glue, IAM—or equivalent cloud technologies supporting high‑volume data engineering workloads.
- Proficiency with Terraform, infrastructure‑as‑code methodologies, and modern CI/CD pipelines (e.g., GitLab) supporting automated deployment and versioning of data systems.
- Deep expertise in SQL and compute optimization strategies, including Z‑Ordering, clustering, partitioning, pruning, and caching for large‑scale analytical and operational workloads.
- Hands‑on experience with major cloud data warehouse platforms such as Snowflake (preferred), BigQuery, or Redshift, including performance tuning and data modeling for analytical environments.
What we would like to see but not required:
- Experience in large-scale healthcare or payer data environments.
What you’ll get in return :
- Competitive Leave & Benefits
- Comprehensive health coverage
- Equity for every employee – share in our success
- Growth-focused environment – your development matters here
Work arrangements :
- Standard hours: 8 hours/day, 5 days/week
- Location: Pune, Hybrid (3 days a week in office)
- Shift: 12pm-9pm IST
Our Commitment as an Equal Opportunity Employer
As a mission-led technology company helping to drive better healthcare outcomes, Abacus Insights believes that the best innovation and value we can bring to our customers comes from diverse ideas, thoughts, experiences, and perspectives. Therefore, we dedicate resources to building diverse teams and providing equal employment opportunities to all applicants. Abacus prohibits discrimination and harassment regarding race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.
At the heart of who we are is a commitment to continuously and intentionally building an inclusive culture—one that empowers every team member across the globe to do their best work and bring their authentic selves. We carry that same commitment into our hiring process, aiming to create an interview experience where you feel comfortable and confident showcasing your strengths. If there’s anything we can do to support that—big or small—please let us know.
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Sr Business Intelligence Engineer
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Opportunity Overview:
We are seeking a Senior Business Intelligence Engineer to join our Intelligence team. In this role, you will design, build, and optimize scalable data models and analytical assets that power reporting and self-service analytics across the organization. You will play a key role in strengthening our BI ecosystem by partnering closely with data platforms, and product teams to deliver high-quality, governed, and performant datasets and dashboards, while upholding best practices and standards..
This is an ideal opportunity for an experienced BI engineer who thrives in a hands-on technical role, can independently support complex initiatives, and is passionate about building clean, reliable, and scalable data foundations. This position offers the chance to have a substantial influence on the company, with the potential for rapid career advancement in a highly visible environment.
What you’ll do:
- Collaborate with business stakeholders to understand reporting needs and translate them into functional requirements.
- Design, develop, and maintain BI reports, dashboards, and data visualizations using BI tools (e.g., Tableau, Power BI, etc.).
- Build and optimize Tableau dashboards and KPI frameworks with a focus on performance, usability, governance, and row-level security.
- Ensure data consistency and quality in reports by working closely with the data management team.
- Apply best practices in dbt modeling, testing, version control, and release management to ensure high-quality, maintainable pipelines.
- Perform data analysis and ad-hoc queries to support business decision-making.
- Stay current with industry best practices and emerging BI technologies.
What you’ll need:
Must-haves
- 6+ years of professional experience in business intelligence, analytics engineering, or data engineering, preferably in healthcare or another data-rich, regulated domain.
- Self-starter, able to work independently, able to succeed in a fast-paced, high intensity start-up environment
- Excellent english communication skills, with proven ability to create & deliver the results of analyses to non-technical audiences
- Advanced proficiency in SQL and strong hands-on experience with analytics engineering frameworks such as dbt.
- Strong experience with Tableau (Cloud and Desktop), including dashboard development, row-level security, performance optimization, and basic administration.
- Experience working with workflow orchestration tools such as Airflow.
- Experience working in AWS-based data platforms.
Nice-to-haves
- Experience with dbt or with similar tools
- Experience with Python.
- Exposure to additional BI platforms such as Power BI, Sisense, or open-source BI tools.
- Experience supporting dashboard embedding and integration into web applications.
- Background in healthcare payer analytics, utilization management, or clinical workflows.
- Previous experience working in a global model
Ability to commute/relocate:
- Hyderabad, Telangana*: Reliably commute or planning to relocate before starting work (Preferred)
Interview Process*:
- Connect with Talent Acquisition for a Preliminary Phone Screening
- Technical test
- Meet your Hiring Manager
- Technical Round
- Case Study
- Final Interview
*Subject to change
About ZignaAI, a Cohere Health Company:
Cohere Health’s clinical intelligence platform delivers AI-powered solutions that streamline access to quality care by improving payer-provider collaboration, cost containment, and healthcare economics. Cohere Health works with over 660,000 providers and handles over 12 million prior authorization requests annually. Its responsible AI auto-approves up to 90% of requests for millions of health plan members.
With the acquisition of ZignaAI, we’ve further enhanced our platform by launching our Payment Integrity Suite, anchored by Cohere Validate™, an AI-driven clinical and coding validation solution that operates in near real-time. By unifying pre-service authorization data with post-service claims validation, we’re creating a transparent healthcare ecosystem that reduces waste, improves payer-provider collaboration and patient outcomes, and ensures providers are paid promptly and accurately.
Cohere Health’s innovations continue to receive industry wide recognition. We’ve been named to the 2025 Inc. 5000 list and in the Gartner® Hype Cycle™ for U.S. Healthcare Payers (2022-2025), and ranked as a Top 5 LinkedIn™ Startup for 2023 & 2024. Backed by leading investors such as Deerfield Management, Define Ventures, Flare Capital Partners, Longitude Capital, and Polaris Partners, Cohere Health drives more transparent, streamlined healthcare processes, helping patients receive faster, more appropriate care and higher-quality outcomes.
The Coherenauts, as we call ourselves, who succeed here are empathetic teammates who are candid, kind, caring, and embody our core values and principles. We believe that diverse, inclusive teams make the most impactful work. Cohere is deeply invested in ensuring that we have a supportive, growth-oriented environment that works for everyone.
We can’t wait to learn more about you and meet you at ZignaAI, a Cohere Health company!
Equal Opportunity Statement:
Cohere Health is an Equal Opportunity Employer. We are committed to fostering an environment of mutual respect where equal employment opportunities are available to all. To us, it’s personal.
Ready to apply?
Apply to Cohere Health
Manager, Business Intelligence
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Opportunity Overview:
We’re hiring a Manager, Business Intelligence to lead our India-based BI team and drive high-quality, reliable delivery across reporting and analytics. You will directly manage a team of BI Engineers and Analysts (7 members), serving as the operational backbone for our global BI function. Reporting to the Director of Data and AI. You’ll partner cross-functionally with global teams to deliver insights that directly impact providers, patients, and clients. This is a high-visibility role with strong growth potential, ideal for a player-coach who can go deep technically while driving speed, accountability, and high-quality execution across the team. We’re looking for a strong operator who can bring structure and discipline to fast-moving priorities, making clear trade-offs, and maintaining delivery momentum without sacrificing quality. We value teammates who are collaborative, candid, and empathetic, and are committed to building an inclusive, growth-oriented environment.
What you’ll do:
- Define and execute the Business Intelligence roadmap, aligned with company and client needs while ensuring accuracy, timeliness, and contractual alignment
- Lead and manage a team of BI Engineers and Business Analysts, enforcing clear ownership, SLAs, and accountability.
- Act as a senior partner to Product, Operations, and Client teams, translating complex asks into structured work products for the team
- Identify and eliminate bottlenecks in data pipelines, reporting workflows, and team execution
- Build scalable, reusable reporting frameworks and KPI layers across the organization
- Champion a self-service analytics culture while maintaining governance and data integrity
- Implement robust processes for data validation, reconciliation, and monitoring
- Drive data quality, metric standardization, and governance across all reportin
Required Qualifications:
- 7+ years in BI / Analytics / Data Engineering
- 2+ years of people management experience
- Prior experience working in a global setting, partnering closely with US-based BI leadership, Product, and Operations teams
- Deep expertise in Agile execution and Jira-based delivery management:
- Backlog ownership, sprint planning, ticket triaging, and prioritization
- Ability to manage frequent re-prioritization without delivery breakdowns
- Strong hands-on experience in:
- SQL (advanced) and data modeling (dimensional / star schema)
- Tableau and/or Amazon QuickSight
- Modern data stack: dbt, Athena (or equivalent), Airflow (or orchestration tools)
- Demonstrated experience building scalable data models and KPI layers
- Ability to debug issues across the full product and data stack independently
- Strong stakeholder and client-facing communication skills.
Nice to have
- Experience working with healthcare datasets (claims, UM/PA workflows, EMR)
- Prior experience operating in high-change technology startup environments
- Background in healthcare tech, payer, or delegated UM environments
- Experience building metrics/semantic layers
- Exposure to AWS cost and performance optimization
- Experience scaling BI platforms for external/client-facing reporting
- Familiarity with data governance and metric standardization practices
We can’t wait to learn more about you and meet you at Cohere Health!
Interview Process*:
- Connect with Talent Acquisition
- Meet with the Hiring Manager
- Behavioral Interview(s)
- Case Study
- Interview with Senior Leadership
*Subject to change
About Cohere Health:
Cohere Health’s clinical intelligence platform delivers AI-powered solutions that streamline access to quality care by improving payer-provider collaboration, cost containment, and healthcare economics. Cohere Health works with over 660,000 providers and handles over 12 million prior authorization requests annually. Its responsible AI auto-approves up to 90% of requests for millions of health plan members.
With the acquisition of ZignaAI, we’ve further enhanced our platform by launching our Payment Integrity Suite, anchored by Cohere Validate™, an AI-driven clinical and coding validation solution that operates in near real-time. By unifying pre-service authorization data with post-service claims validation, we’re creating a transparent healthcare ecosystem that reduces waste, improves payer-provider collaboration and patient outcomes, and ensures providers are paid promptly and accurately.
Cohere Health’s innovations continue to receive industry wide recognition. We’ve been named to the 2025 Inc. 5000 list and in the Gartner® Hype Cycle™ for U.S. Healthcare Payers (2022-2025), and ranked as a Top 5 LinkedIn™ Startup for 2023 & 2024. Backed by leading investors such as Deerfield Management, Define Ventures, Flare Capital Partners, Longitude Capital, and Polaris Partners, Cohere Health drives more transparent, streamlined healthcare processes, helping patients receive faster, more appropriate care and higher-quality outcomes.
The Coherenauts, as we call ourselves, who succeed here are empathetic teammates who are candid, kind, caring, and embody our core values and principles. We believe that diverse, inclusive teams make the most impactful work. Cohere is deeply invested in ensuring that we have a supportive, growth-oriented environment that works for everyone.
We can’t wait to learn more about you and meet you at Cohere Health!
Equal Opportunity Statement:
Cohere Health is an Equal Opportunity Employer. We are committed to fostering an environment of mutual respect where equal employment opportunities are available to all. To us, it’s personal.
Ready to apply?
Apply to Cohere Health
Senior Data Engineer
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Berkadia Services India Pvt Ltd
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Integrity is Everything I We Take the Long View I We believe People Matter I We Stand for Excellence I We Love our Jobs I We Innovate
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Job title: Department: Location: |
Senior Data Engineer Innovation Technology Bangalore |
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Full Time – Hybrid work model (subject to Berkadia policy changes) Split Shift (3:00pm to 12:00am) |
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Reports To Philip Valent
The Opportunity
As a member of the Data Pipeline team you’ll be at the center of building our platform that enables us to redefine the Commercial Real Estate industry. We’re building a data pipeline that merges with the tested design of data warehousing and the latest big data technologies. You will be designing and building data projects while securing core data elements.
In this role, individual will be required to work on one or multiple aspects of Innovation verticals with the following key responsibilities –
- Research new technology and share knowledge with team and peers
- Design, implement and release data applications in AWS using big data technologies
- Coordinate development efforts across the organization
- Influence team in development standards and processes
- Teach and mentor peers
- Other duties as assigned
Your Qualification
Education:
- Bachelor’s degree in information technology, Computer Science, Engineering, Information Systems, or a closely related technology field; or equivalent practical experience.
- Preferably Post Graduate degree including MBA/PGDBM
Qualifications:
Qualifications to perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the experience required:
- 5+ years of professional experience in data engineering or a closely related field.
- 5 -8 years of hands-on Apache Spark experience (PySpark preferred)
- Proven experience building and maintaining ETL/ELT pipelines using tools/frameworks such as PostgreSQL, Docker, Apache Airflow, AWS Step Functions, or similar.
- 1-2 years of experience building high-performance algorithms in scalable languages such as Scala, Python and R
- Strong expertise in SQL (complex queries, performance tuning, analytical functions).
- Excellent interpersonal, verbal and written communication skills
- Experience mentoring junior engineers and performing code reviews
- Strong logical, analytical, problem solving and reporting skills
- AWS Elastic Map Reduce (EMR) experience
- Experience with modern data warehousing and/or lakehouse architecture.
- Familiarity with CI/CD, Git, and agile development practices.
- Experience managing large scale products with a passion for quality/efficiency.
Perks & Benefits
Berkadia offers the best-in-class benefits to enable an enjoyable work environment for the employees. Key benefits include –
- Leaves: Berkadia offers a comprehensive leave policy that not only helps you to plan holidays and personal milestones, but also covers exigencies such as sickness and bereavement.
- Transportation: Berkadia offers free transportation to every employee, irrespective of their shift timings.
- Medical Insurance: Berkadia has an inclusive medical insurance policy that covers the family members of the employees, including parents.
- Learn while you Earn: Berkadia encourages employees to learn new skills by sponsoring degrees, certifications, training, and workshops.
- Wellness: Berkadia has an extensive wellness program that includes annual health check, eye checkup, dental screening, OPD reimbursement, and Employee Assistance Program.
About us
Berkadia, a joint venture of Berkshire Hathaway and Jefferies Financial Group, is a leader in the commercial real estate industry, offering a robust suite of services to our multifamily and commercial property clients. Powered by deep relationships and industry-changing technology, our people sell, finance, and service commercial real estate, providing support for the entire life cycle of our clients’ assets.
Berkadia is an equal opportunity employer and affords equal opportunity to all applicants and employees for all positions without regard to race, color, religion, gender, national origin, age, disability, or any other status protected under the law. To learn more about Berkadia, please visit https://berkadia.com/
For details about India operations, please visit https://berkadia.com/india/
Why us?
Here At Berkadia, We Believe People Matter.
In fact, our people are the heart and soul of everything we do. That’s why we employ the top CRE professionals in our industry, and make sure we invest in their personal development and training. With a focus on innovation and insights, we set the bar high – and keep it there – so that we provide best-in-class service for our clients.
Our culture, or Berkadia Way as we know it, encourages us to truly see people as people, with unique needs, challenges, and objectives. We take this into consideration when working with each other, engaging our clients, and supporting our communities. Thus, instilling a mindset that fosters our shared commitment to self-accountability helps us see our impact on each other and adjust our efforts accordingly.
While this job description is intended to be an accurate reflection of the job requirements, management reserves the right to modify, add, or remove duties and to assign other duties, as necessary.
About Berkadia:
Berkadia, a joint venture of Berkshire Hathaway and Jefferies Financial Group, is an industry leading commercial real estate company providing comprehensive capital solutions and investment sales advisory and research services for multifamily and commercial properties. Berkadia is amongst the largest, highest rated and most respected primary, master and special servicers in the industry.
Berkadia is an equal opportunity employer and affords equal opportunity to all applicants and employees for all positions without regard to race, color, religion, gender, national origin, age, disability or any other status protected under the law.
Our people are our greatest strength and make Berkadia a great place to work, creating an environment of trust, mutual respect, innovation and collaboration. Our culture is driven by our core values: https://www.berkadia.com/about/vision-and-values.
To know more about Berkadia, please visit our website https://www.berkadia.com/aboutus/
Ready to apply?
Apply to Berkadia India
AI Engineer
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About Us
With electric vehicles expected to be nearly 30% of new vehicle sales by 2025 and more than 50% by 2040, electric mobility is becoming a reality. ChargePoint (NYSE: CHPT) is at the center of this revolution, powering one of the world’s leading EV charging networks and a comprehensive set of hardware, software and mobile solutions for every charging need across North America and Europe. We bring together drivers, businesses, automakers, policymakers, utilities and other stakeholders to make e-mobility a global reality.
Since our founding in 2007, ChargePoint has focused solely on making the transition to electric easy for businesses, fleets and drivers. ChargePoint offers a once-in-a-lifetime opportunity to create an all-electric future and a trillion-dollar market.
At ChargePoint, we foster a positive and productive work environment by committing to live our values of Be Courageous, Charge Together, Love our Customers, Operate with Openness, and Relentlessly Pursue Awesome. These values guide how we show up every day, align, and work together to build a brighter future for all of us.
Join the team that is building the EV charging industry and make your mark on how people and goods will get everywhere they need to go, in any context, for generations to come.
Reports To
Director, NOC Delivery & Automation
What You Will Be Doing
- Lead the development of cutting-edge AI solutions across Voice AI, Computer Vision, and Conversational AI domains.
- You will architect and build production-grade AI systems that enhance our monitoring and analytics platform, improve customer support experiences, and enable intelligent automation across our EV charging infrastructure.
- Work closely with cross-functional teams to design, build, and deploy AI-powered solutions that directly improve the experience for millions of EV drivers and operators worldwide.
What You Will Bring to ChargePoint
- Deep expertise in Python, FastAPI, Django, and modern backend frameworks for AI service development
- Hands-on experience with LLM engineering: LangChain, LangGraph, Amazon Bedrock/OpenAI APIs, prompt engineering, and RAG architectures
- Strong experience with Elasticsearch including vector search, hybrid search (BM25 + dense embeddings), and semantic retrieval
- Proficiency with vector databases (Qdrant, ChromaDB, Pinecone) and embedding-based retrieval systems
- Experience building production LLM systems with focus on low-latency inference, caching strategies, and observability
- Strong foundation in distributed systems design, microservices architecture, and event-driven patterns (Kafka, RabbitMQ)
- Experience with cloud platforms (AWS/GCP), containerization (Docker, Kubernetes), and CI/CD pipelines
- Strong knowledge of PostgreSQL (query optimization, schema design), Redis, MongoDB, and message queues
- Track record of optimizing system performance with measurable improvements (latency reduction, cost optimization)
Requirements
- 8+ years of software engineering experience with 4+ years focused on AI/ML systems in production
- Tech/B.E. or M.S. in Computer Science, Machine Learning, or related field from a top-tier institution
- Experience with Voice AI systems, telephony integrations (Genesys, SIP), and speech processing pipelines
- Background in computer vision, image processing, or visual transformer architectures
- Data engineering experience with Airflow, DBT, and analytics platforms (ClickHouse, Trino, Iceberg)
- Experience working with massive datasets (50TB+) and building scalable data pipelines
- Hands-on experience with model fine-tuning techniques (LoRA/QLoRA) for domain-specific applications
- Familiarity with RLHF-style preference tuning and model alignment techniques
- Experience with observability and monitoring stacks including metrics, logging, and tracing
- Certifications in Generative AI, Agentic AI, or related specialization.
Location
Bangalore, India
We are committed to an inclusive and diverse team. ChargePoint is an equal opportunity employer. We do not discriminate based on race, color, ethnicity, ancestry, national origin, religion, sex, gender, gender identity, gender expression, sexual orientation, age, disability, veteran status, genetic information, marital status or any legally protected status.
If there is a match between your experiences/skills and the Company needs, we will contact you directly.
ChargePoint is committed to fostering an inclusive workplace that welcomes and supports all qualified individuals. In alignment with this commitment, we ensure that persons with disabilities are provided with reasonable accommodations throughout the employment process.
If you need a reasonable accommodation to participate in the application or interview process, to perform essential job functions, or to access any other benefits and privileges of employment, please contact us at accommodations@chargepoint.com.
ChargePoint is an equal opportunity employer.
Applicants only - Recruiting agencies do not contact.
Ready to apply?
Apply to ChargePoint
About Us
“Capco, a Wipro company, is a global technology and management consulting firm. Awarded with Consultancy of the year in the British Bank Award and has been ranked Top 100 Best Companies for Women in India 2022 by Avtar & Seramount. With our presence across 32 cities across globe, we support 100+ clients across banking, financial and Energy sectors. We are recognized for our deep transformation execution and delivery.
WHY JOIN CAPCO?
You will work on engaging projects with the largest international and local banks, insurance companies, payment service providers and other key players in the industry. The projects that will transform the financial services industry.
MAKE AN IMPACT
Innovative thinking, delivery excellence and thought leadership to help our clients transform their business. Together with our clients and industry partners, we deliver disruptive work that is changing energy and financial services.
#BEYOURSELFATWORK
Capco has a tolerant, open culture that values diversity, inclusivity, and creativity.
CAREER ADVANCEMENT
With no forced hierarchy at Capco, everyone has the opportunity to grow as we grow, taking their career into their own hands.
DIVERSITY & INCLUSION
We believe that diversity of people and perspective gives us a competitive advantage.
MAKE AN IMPACT
Role: GCP Data Engineer
Job Summary:
We are looking for an enthusiastic GCP Data Engineer to join our dynamic and growing project team. In this role, you will have the opportunity to develop your skills while contributing to large-scale data projects on Google Cloud Platform. You will work closely with senior engineers and data analysts to build and maintain robust data pipelines, helping to turn raw data into actionable insights. This is an excellent opportunity for a foundational career in data engineering within a supportive and collaborative environment.
Key Responsibilities:
· Develop, test, and maintain data pipelines and ETL/ELT processes using Python, SQL, and GCP services.
· Write and optimize complex SQL queries in BigQuery for data transformation, extraction, and analysis.
· Assist in the design and implementation of data models within our data warehouse.
· Collaborate with the broader project team to understand data requirements and deliver effective solutions.
· Troubleshoot and resolve issues in data pipelines and data quality to ensure accuracy and availability.
· Contribute to documentation and adhere to data engineering best practices.
· Support the team in various data-related tasks and be eager to learn new technologies and techniques.
Required Qualifications:
· Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.
· 5-8 years of hands-on experience with strong programming skills in Python for data manipulation and processing.
· Proficiency in SQL for querying and data transformation.
· Hands-on experience or significant project work with Google Cloud Platform (GCP).
· Familiarity with core GCP data services, particularly BigQuery and Pub/Sub.
· Strong understanding of data warehousing concepts and ETL/ELT processes.
· A proactive and curious mindset with strong problem-solving skills.
· Excellent communication and teamwork skills, with the ability to work effectively in a large project team.
Preferred Qualifications:
· Experience with other GCP services such as Cloud Composer (Airflow) or Dataflow, Cloud Functions.
· Familiarity with version control systems, especially Git.
· Google Cloud certification (e.g., Associate Cloud Engineer) is a plus.
· A passion for data and a strong desire to grow a career in the data engineering field.
Ready to apply?
Apply to CapcoWe’re in an unbelievably exciting area of tech and are fundamentally reshaping the data storage industry. Here, you lead with innovative thinking, grow along with us, and join the smartest team in the industry.
This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us.
THE ROLE
We are seeking a highly skilled and hands-on Senior Finance Data & Analytics Engineer (IC role) to lead the design and development of the Finance Data Cube, enabling enterprise-wide insights into Customer Lifetime Value (CLTV), Contribution Margin, and other key financial metrics.
WHAT YOU'LL DO
- Design, build, and own the Finance Data Cube, integrating financial, customer, and operational datasets.
- Model data to support CLTV, Contribution Margin, and other profitability KPIs across multiple dimensions (customer, product, LOB, geography, etc.)
- Be a data architect for Finance , bring different data into cohesive and answer critical questions
- Leverage AI tools to automate data summarization, anomaly detection, and narrative insights for Finance stakeholders.
- Scale data infrastructure to support large volumes and complex financial models.
- Build and manage Semantic Layer models to standardize business metrics and enable self-serve analytics
- Translate complex financial concepts and KPIs into scalable, maintainable data models.
- Implement strong controls for data quality, lineage, and governance.
- Maintain clear documentation of data transformations, metric definitions, and AI model logic.
- We are primarily an in-office environment and therefore, you will be expected to work from the Bangalore office in compliance with Pure’s policies, unless you are on PTO, or work travel, or other approved leave.
WHAT YOU BRING
- Experience: 8+ years in Finance Data Engineering, FP&A Analytics, or Financial Systems, with exposure to AI/ML-based analytics(added advantage)
- Proficiency with Snowflake and modern data stacks with strong SQl and data modeling expertise
- Deep understanding of finance data set , SAP , Contribution margin, CLTV would be an added advantage
- Experience with data orchestration tools (Airflow, dbt) and tableau platform
- Hands-on experience with Python, PySpark, or R for automation and model integration.
- Proven ability to translate financial logic into scalable data models.
- Experience in Cortex Analyst/Search components to enable AI/ML-driven insights, natural language querying, and intelligent data discovery is preferred.
- Knowledge of predictive modeling, time-series forecasting, and generative AI in analytics.
- Ability to evaluate and apply AI responsibly in financial contexts.
#LI-ONSITE
WHAT YOU CAN EXPECT FROM US:
- Innovation: We celebrate those who think critically, like a challenge, and aspire to be trailblazers.
- Growth: We give you the space and support to grow along with us and to contribute to something meaningful. We have been named Fortune's Best Workplaces in Technology™, Fortune's Best Workplaces in the Bay Area™, and certified as a Great Place to Work®!
- Team: We build each other up and set aside ego for the greater good.
And because we understand the value of bringing your full and best self to work, we offer a variety of perks to manage a healthy balance, including flexible time off, wellness resources, and company-sponsored team events. Check out purebenefits.com for more information.
ACCOMMODATIONS AND ACCESSIBILITY:
Candidates with disabilities may request accommodations for all aspects of our hiring process. For more on this, contact us at TA-Ops@purestorage.com if you’re invited to an interview.
OUR COMMITMENT TO A STRONG AND INCLUSIVE TEAM:
We’re forging a future where everyone finds their rightful place and where every voice matters. Where uniqueness isn’t just accepted but embraced. That’s why we are committed to fostering the growth and development of every person, cultivating a sense of community through our Employee Resource Groups and advocating for inclusive leadership.
Everpure is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or any other characteristic legally protected by the laws of the jurisdiction in which you are being considered for hire.
Join us and bring your best.
Bring your bold.
Pure and simple.
Ready to apply?
Apply to Everpure
Secure Every Identity, from AI to Human
Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence.
This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk.
About Okta
At Okta, our mission is to enable any organization to use any technology, making the world a more secure and connected place. We are the leading independent provider of identity for the enterprise. We work with an incredible array of customers, from the largest enterprises to the most innovative startups, to help them securely connect their people to technology. As we enter a new phase of growth, our AI and data capabilities will be a critical pillar of our success, powering secure and scalable products that serve both our customers and employees.
The Opportunity
Okta is seeking a Principal Data Engineer to be the technical visionary for our internal data platform that supports our internal AI use cases with AI ready data. Reporting to the Sr Manager of Enterprise Data Platform, this role is responsible for turning the data product vision into a secure, scalable, and elegant technical reality. You will own the "how"—the technical strategy, implementation, and scalability that brings our AI and data product roadmap to life.
This role requires a technical leader who can balance today’s execution with building a durable foundation for the future. You will own the technical standards for engineering excellence, security, and governance, ensuring our core data platform is trusted and ready to power the next generation of AI-powered products and decision-making at Okta.
What You’ll Do
- Own the technical strategy and implementation for the company's AI data platform, translating product requirements into a concrete technical vision centered on Snowflake, AWS, dbt.
- Design and implement a robust security and governance framework as a core pillar of the platform, ensuring our high-compliance, high-security standards are met.
- Build automated solutions for data classification, access control, and vulnerability management (Nessus/Qualys), ensuring data is secure and trusted for AI consumption.
- Implement and manage the strategy for infrastructure as code (Terraform) and CI/CD (GitHub/GitLab) to ensure secure, reproducible, and auditable deployments.
- Set the bar for engineering excellence, driving best practices in code quality, system design, and operational readiness.
- Serve as an engineering partner to the Principal Product Manager, providing technical feasibility, scoping, and architectural guidance.
- Communicate technical vision, strategy, and trade-offs clearly to senior leadership and cross-functional teams.
- Collaborate with the AI, security, and analytics teams to ensure the data platform meets the complex needs of the entire business.
What You Bring
- Experience: 10+ years of data engineering experience, with at least 5 years focused on architecting data platforms for data products, analytics, and/or AI-driven products. Experience with high-compliance/high-security regulated environments is a plus.
- Technical Authority: Deep and recognized mastery of data platforms and architecture, including cloud applications like Snowflake, Databricks, and AWS. Expert-level understanding of data pipeline and orchestration tools like dbt, Airflow, Fivetran, and Terraform.
- Security & Governance DNA: Deep expertise in designing and implementing technical frameworks for data governance, access control, and security within a modern data stack.
- Cross-Functional Partnership: A proven track record of partnering successfully with product management and business leaders to translate vision into high-impact technical solutions.
- Balance of Today vs. Tomorrow: Ability to deliver immediate, high-quality engineering solutions while building a scalable and maintainable foundation for future innovation.
What Success Looks Like
- A secure, scalable, and elegantly designed AI data platform that serves as the trusted data foundation for the company.
- Robust, automated data governance and security frameworks embedded into the platform's core architecture.
- A well-architected and cost-optimized tech stack that accelerates development and reduces operational friction.
- Elevated technical capabilities and engineering excellence across the team, driven by your mentorship and leadership.
#LI_Hybrid
P24713_3369501
The Okta Experience
- Supporting Your Well-Being
- Driving Social Impact
- Developing Talent and Fostering Connection + Community
We are intentional about connection. Our global community, spanning over 20 offices worldwide, is united by a drive to innovate. Your journey begins with an immersive, in-person onboarding experience designed to accelerate your impact and connect you to our mission and team from day one.
Okta is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws.
If reasonable accommodation is needed to complete any part of the job application, interview process, or onboarding please use this Form to request an accommodation.
Notice for New York City Applicants & Employees: Okta may use Automated Employment Decision Tools (AEDT), as defined by New York City Local Law 144, that use artificial intelligence, machine learning, or other automated processes to assist in our recruitment and hiring process. In accordance with NYC Local Law 144, if you are an applicant or employee residing in New York City, please click here to view our full NYC AEDT Notice.
Okta is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Personnel and Job Candidate Privacy Notice at https://www.okta.com/legal/personnel-policy/.
Ready to apply?
Apply to Okta
Secure Every Identity, from AI to Human
Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence.
This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk.
Auth0 is an easy-to-implement, authentication and authorization platform designed by developers for developers. We make applications’ login boxes safe, secure, and seamless for anyone logging in.
The Auth0 Data Engineering Team
Within Auth0, the Data Engineering team builds solutions to support analytics needs for the whole organization and is in charge of the Data Platform. It is divided into 3 groups:
- Pipeline team, sitting closer to the Platform team and data producers and in charge of the efficient data ingestion and provision of quick access to unmodeled data
- Warehouse team sitting closer to the business teams and data consumers and in charge of modeling the data in the data warehouse to abstract away the complexity for data consumers, simplifying the organization’s analysis, reporting and decision-making
- Interface team responsible for creating and managing connections between the data platform and various external systems (internal or external facing), making sure everyone has access to consistent and reliable data
The Senior Data Engineer Opportunity
Reporting to the manager of the Data Engineering Pipeline team, the senior data engineer will be a key player in ensuring the reliability and efficiency of our core data platform. This role is crucial, providing the stable data foundation that not only 'runs the business' day-to-day but also directly empowers the organization to unlock growth and build innovative new products. We are looking for an autonomous and proactive engineer who can take ownership of our data ingestion pipelines, work closely with platform teams and data producers, and onboard new data from various internal and external systems. You will be part of a team creating robust, scalable data solutions using a modern, best-in-class toolset.
What you’ll be doing
- Own and operate our critical data pipelines and infrastructure, participating in the team's support rotation to ensure high availability and business continuity.
- Lead troubleshooting efforts to fix complex pipeline or infrastructure issues, demonstrating a willingness to go beyond the direct scope of the team to find resolutions.
- Manage the data onboarding lifecycle, working with stakeholders to integrate new internal and external data sources into our platform using our suite of tools.
- Develop and deploy robust, scalable data solutions using modern tools and technologies like Snowflake, dbt, Airflow, and Terraform.
- Continuously learn and advocate for modern technologies and best practices to improve data delivery and engineering efficiency.
What you’ll bring to the role
- 5+ years of software development experience, with at least 3+ years working on large-scale data systems.
- Strong proficiency in SQL for data manipulation and Python for data pipeline development.
- Hands-on experience building and operating data pipelines in a cloud environment (AWS preferred).
- Hands-on experience with the modern data stack, specifically:
- Data Warehousing: Snowflake
- Data Transformation: dbt
- Infrastructure as Code: Terraform
- Experience with data ingestion, streaming, and event-driven architecture (e.g., Kafka, CDC, Snowpipe).
- Knowledge of data security and data privacy best practices
- A strong understanding of data modeling principles
- data security best practices.
- A highly autonomous and proactive mindset. You are a quick learner who can self-motivate, prioritize needs, and deliver results in a dynamic environment.
And extra credit if you have experience in any of the following!
- Experience with Snowpark.
- Experience with containerization and orchestration (Kubernetes is a nice to have).
- Familiarity with the Identity Access & Management (IAM) domain.
- Experience building developer-friendly, API-driven applications using REST and/or gRPC.
P24586_3348463
#LI_Hybrid
The Okta Experience
- Supporting Your Well-Being
- Driving Social Impact
- Developing Talent and Fostering Connection + Community
We are intentional about connection. Our global community, spanning over 20 offices worldwide, is united by a drive to innovate. Your journey begins with an immersive, in-person onboarding experience designed to accelerate your impact and connect you to our mission and team from day one.
Okta is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws.
If reasonable accommodation is needed to complete any part of the job application, interview process, or onboarding please use this Form to request an accommodation.
Notice for New York City Applicants & Employees: Okta may use Automated Employment Decision Tools (AEDT), as defined by New York City Local Law 144, that use artificial intelligence, machine learning, or other automated processes to assist in our recruitment and hiring process. In accordance with NYC Local Law 144, if you are an applicant or employee residing in New York City, please click here to view our full NYC AEDT Notice.
Okta is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Personnel and Job Candidate Privacy Notice at https://www.okta.com/legal/personnel-policy/.
Ready to apply?
Apply to Okta
Secure Every Identity, from AI to Human
Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence.
This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk.
Auth0 is an easy-to-implement, authentication and authorization platform designed by developers for developers. We make applications’ login boxes safe, secure, and seamless for anyone logging in.
The Auth0 Data Engineering Team
Within Auth0, the Data Engineering team builds solutions to support analytics needs for the whole organization and is in charge of the Data Platform. It is divided into 3 groups:
- Pipeline team, sitting closer to the Platform team and data producers and in charge of the efficient data ingestion and provision of quick access to unmodeled data
- Warehouse team sitting closer to the business teams and data consumers and in charge of modeling the data in the data warehouse to abstract away the complexity for data consumers, simplifying the organization’s analysis, reporting and decision-making
- Interface team responsible for creating and managing connections between the data platform and various external systems (internal or external facing), making sure everyone has access to consistent and reliable data
The Senior Data Engineer Opportunity
Reporting to the manager of the Data Engineering Pipeline team, the senior data engineer will be a key player in ensuring the reliability and efficiency of our core data platform. This role is crucial, providing the stable data foundation that not only 'runs the business' day-to-day but also directly empowers the organization to unlock growth and build innovative new products. We are looking for an autonomous and proactive engineer who can take ownership of our data ingestion pipelines, work closely with platform teams and data producers, and onboard new data from various internal and external systems. You will be part of a team creating robust, scalable data solutions using a modern, best-in-class toolset.
What you’ll be doing
- Own and operate our critical data pipelines and infrastructure, participating in the team's support rotation to ensure high availability and business continuity.
- Lead troubleshooting efforts to fix complex pipeline or infrastructure issues, demonstrating a willingness to go beyond the direct scope of the team to find resolutions.
- Manage the data onboarding lifecycle, working with stakeholders to integrate new internal and external data sources into our platform using our suite of tools.
- Develop and deploy robust, scalable data solutions using modern tools and technologies like Snowflake, dbt, Airflow, and Terraform.
- Continuously learn and advocate for modern technologies and best practices to improve data delivery and engineering efficiency.
What you’ll bring to the role
- 5+ years of software development experience, with at least 3+ years working on large-scale data systems.
- Strong proficiency in SQL for data manipulation and Python for data pipeline development.
- Hands-on experience building and operating data pipelines in a cloud environment (AWS preferred).
- Hands-on experience with the modern data stack, specifically:
- Data Warehousing: Snowflake
- Data Transformation: dbt
- Infrastructure as Code: Terraform
- Experience with data ingestion, streaming, and event-driven architecture (e.g., Kafka, CDC, Snowpipe).
- Knowledge of data security and data privacy best practices
- A strong understanding of data modeling principles
- data security best practices.
- A highly autonomous and proactive mindset. You are a quick learner who can self-motivate, prioritize needs, and deliver results in a dynamic environment.
And extra credit if you have experience in any of the following!
- Experience with Snowpark.
- Experience with containerization and orchestration (Kubernetes is a nice to have).
- Familiarity with the Identity Access & Management (IAM) domain.
- Experience building developer-friendly, API-driven applications using REST and/or gRPC.
#LI_Hybrid
P24587_3348467
The Okta Experience
- Supporting Your Well-Being
- Driving Social Impact
- Developing Talent and Fostering Connection + Community
We are intentional about connection. Our global community, spanning over 20 offices worldwide, is united by a drive to innovate. Your journey begins with an immersive, in-person onboarding experience designed to accelerate your impact and connect you to our mission and team from day one.
Okta is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws.
If reasonable accommodation is needed to complete any part of the job application, interview process, or onboarding please use this Form to request an accommodation.
Notice for New York City Applicants & Employees: Okta may use Automated Employment Decision Tools (AEDT), as defined by New York City Local Law 144, that use artificial intelligence, machine learning, or other automated processes to assist in our recruitment and hiring process. In accordance with NYC Local Law 144, if you are an applicant or employee residing in New York City, please click here to view our full NYC AEDT Notice.
Okta is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Personnel and Job Candidate Privacy Notice at https://www.okta.com/legal/personnel-policy/.
Ready to apply?
Apply to Okta
Secure Every Identity, from AI to Human
Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence.
This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk.
About Okta
At Okta, our mission is to enable any organization to use any technology, making the world a more secure and connected place. We are the leading independent provider of identity for the enterprise. We work with an incredible array of customers, from the largest enterprises to the most innovative startups, to help them securely connect their people to technology. As we enter a new phase of growth, our AI and data capabilities will be a critical pillar of our success, powering secure and scalable products that serve both our customers and employees.
The Opportunity
Okta is seeking a Senior Data Engineer to join our Enterprise Data Platform team. Reporting to the Sr. Manager of Enterprise Data Platform, you will be a key hands-on contributor responsible for building the data platform that supports our internal AI use cases with AI-ready data. You will help turn the data product vision into a secure, scalable, and elegant technical reality by developing and implementing core components of our data infrastructure.
This role requires a skilled engineer who is passionate about building high-quality data solutions. You will contribute to the team’s standards for engineering excellence and help ensure our core data platform is trusted and ready to power AI-powered decision-making at Okta.
What You’ll Do
- Build and maintain performant data pipelines and data models on the company's AI data platform, using Snowflake, AWS, and dbt.
- Implement components of our security and governance framework to ensure high-compliance and security standards are met.
- Develop automated solutions for data classification, access control, and contribute to our vulnerability management processes.
- Use infrastructure as code (Terraform) and CI/CD (GitHub/GitLab) to build, test, and deploy data infrastructure securely and reliably.
- Adhere to and champion best practices in code quality, system design, and operational readiness.
- Collaborate closely with product managers, senior engineers, and analytics teams to deliver high-quality data solutions that meet business needs.
What You Bring
- Experience: 5+ years of data engineering experience, with a focus on building data pipelines, data models, and working on data platforms.
- Technical Proficiency: Strong, hands-on experience with cloud data platforms (Snowflake, Databricks, or similar) and AWS. Solid understanding of data pipeline and orchestration tools like dbt, Airflow, or Fivetran, and IaC with Terraform.
- Security & Governance Mindset: Experience implementing security controls, and a good understanding of data governance principles within a modern data stack.
- Collaborative Spirit: A proven track record of working effectively in a team environment with product managers, analysts, and other engineers to deliver features.
- Problem Solver: Ability to tackle well-defined technical problems and deliver high-quality, maintainable engineering solutions.
What Success Looks Like
- You are consistently delivering high-quality, reliable, and well-tested data pipelines and platform features.
- The infrastructure you build is automated, secure, and aligns with the team’s best practices.
- You are a trusted, collaborative, and productive member of the data engineering team.
- Your work directly contributes to a cost-optimized and efficient tech stack that accelerates development for your peers.
#LI_Hybrid
P24719_3369503
The Okta Experience
- Supporting Your Well-Being
- Driving Social Impact
- Developing Talent and Fostering Connection + Community
We are intentional about connection. Our global community, spanning over 20 offices worldwide, is united by a drive to innovate. Your journey begins with an immersive, in-person onboarding experience designed to accelerate your impact and connect you to our mission and team from day one.
Okta is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws.
If reasonable accommodation is needed to complete any part of the job application, interview process, or onboarding please use this Form to request an accommodation.
Notice for New York City Applicants & Employees: Okta may use Automated Employment Decision Tools (AEDT), as defined by New York City Local Law 144, that use artificial intelligence, machine learning, or other automated processes to assist in our recruitment and hiring process. In accordance with NYC Local Law 144, if you are an applicant or employee residing in New York City, please click here to view our full NYC AEDT Notice.
Okta is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Personnel and Job Candidate Privacy Notice at https://www.okta.com/legal/personnel-policy/.
Ready to apply?
Apply to Okta