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Senior Software Engineer - Advertising Analytics
Share this job
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 Ads Analytics 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 business teams.
We work closely with Product Managers, Ad Sales, Ad Operations, Data Science, and multiple other software teams within the Advertising Engineering organization 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 high skilled Senior Software Engineer with deep expertise in API Development using Spring Boot while also possessing knowledge of Apache Spark-based Big Data pipelines using 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.
You will communicate and collaborate heavily with both business and engineering to ensure high quality standards and overall project delivery success. 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 applications and services with 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 and tests, 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
-
8+ years of experience in software and/or data engineering with expertise in big data technologies such as Apache Spark, Apache Airflow.
-
Expertise with at least 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.
- Strong programming skills in Java, Python, or Scala.
-
Advanced SQL skills, with expertise in query optimization for large datasets.
-
Expertise in data modeling, schema design, and data visualization tools.
-
Experience building highly scalable, low-latency, APIs.
-
Exceptional problem-solving abilities and the capacity to work both independently and collaboratively as needed.
-
Exceptional 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 campaign measurement. (preferred)
-
Knowledge of CI/CD pipelines, DevOps practices, and infrastructure-as-code tools (e.g., Terraform). (preferred)
-
Experience with building Agentic AI systems to automate decision-making and enhance analytics workflows. (preferred)
- Bachelor's degree in computer science, Engineering, or a related field (or equivalent experience).
#LI-GL1
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
Senior Software Engineer - Advertising Analytics
Share this job
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 Ads Analytics 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 business teams.
We work closely with Product Managers, Ad Sales, Ad Operations, Data Science, and multiple other software teams within the Advertising Engineering organization 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 high skilled Senior Software Engineer with deep expertise in API Development using Spring Boot while also possessing knowledge of Apache Spark-based Big Data pipelines using 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.
You will communicate and collaborate heavily with both business and engineering to ensure high quality standards and overall project delivery success. 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 applications and services with 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 and tests, 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
-
8+ years of experience in software and/or data engineering with expertise in big data technologies such as Apache Spark, Apache Airflow.
-
Expertise with at least 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.
- Strong programming skills in Java, Python, or Scala.
-
Advanced SQL skills, with expertise in query optimization for large datasets.
-
Expertise in data modeling, schema design, and data visualization tools.
-
Experience building highly scalable, low-latency, APIs.
-
Exceptional problem-solving abilities and the capacity to work both independently and collaboratively as needed.
-
Exceptional 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 campaign measurement. (preferred)
-
Knowledge of CI/CD pipelines, DevOps practices, and infrastructure-as-code tools (e.g., Terraform). (preferred)
-
Experience with building Agentic AI systems to automate decision-making and enhance analytics workflows. (preferred)
- Bachelor's degree in computer science, Engineering, or a related field (or equivalent experience).
#LI-GL1
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
Roku is looking for a Sr. Data scientist to join the Core Analytics team supporting our Viewer Product team. In this role, you will leverage data analytics to support and improve our Live product. You will own end-to-end analytics that shape how viewers discover, engage with, and return to Live experiences on Roku. You will work closely with product management and engineering to identify opportunities to create new features, drive their adoption, and generate value for Roku. This individual will investigate and develop solutions to track, monitor and improve our ecosystem. The successful candidate is quantitatively driven, detail-focused, and possesses an elevated level of problem-solving expertise.
What you'll be doing
- Analyze structured and unstructured data and communicate insights to help stakeholders solve business problems, identify trends and make data-driven decisions
- Advise on key product development strategy decisions to drive our Live product experience
- Develop and maintain dashboards, reports, and data visualizations to monitor key metrics for operational and systems health
- Develop necessary data pipelines to power automation, validation and reporting
- Collaborate with stakeholders to align data science initiatives with organizational goals and strategy design and execute A/B tests
- Perform exploratory data analysis on emerging trends and execute advanced analysis across the Roku Platform
- Providing feedback directly to leadership on performance of various initiatives and untapped opportunities
We're excited if you have
- 4+ years of work experience with a bachelor's degree or master's degree in quantitative field (e.g., Statistics, Business Analytics, Data Science, Mathematics, Economics, Engineering or Computer Science)
- 4+ years of experience in product analytics. Experience with platforms in the media and entertainment industry preferred
- Expertise in SQL, SAS, R, Python or other programming language to query data and perform analysis
- Demonstrated ability to influence quantitatively meaningful business outcomes
- Hands on experience with visualization tools like Tableau or Looker
- Have a bias towards action in resolving issues and operate in a high-energy, fast-paced environment
- Hands on experience in A/B testing and statistical modeling/forecasting
This role can be based in either Cambridge, or Manchester. You are required to work in the office for 4 days per week, this is the core requirement of the role
#LI-ST1
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
Senior Software Engineer, Data - Advertising Engineering
Share this job
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 Ads Analytics 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 business teams.
We work closely with Product Managers, Ad Sales, Ad Operations, Data Science, and multiple other software teams within the Advertising Engineering organization 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 high skilled Senior Software Engineer with deep expertise in API Development using Spring Boot while also possessing knowledge of Apache Spark-based Big Data pipelines using 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.
You will communicate and collaborate heavily with both business and engineering to ensure high quality standards and overall project delivery success. 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 applications and services with 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 and tests, 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
- 10+ years professional software development experience.
- Experience building highly scalable, low-latency REST services and API frameworks.
- Able to efficiently write SQL queries and analyze results to explore business problems and inquiries.
- Ability to translate queries and reporting requirements into production-level data processing pipelines.
- Proficient in day-to-day use of Python / Java / Scala.
- Strong understanding of and experience with distributed computing frameworks like Hive/Hadoop and Apache Spark.
- Expertise in data modeling, schema design, and data visualization tools.
- Experience working in GCP and/or AWS is a plus.
- Experience with JavaScript, Node.js and React is nice to have.
- Experience deploying services on Kubernetes is a plus.
- Knowledge of CI/CD pipelines, DevOps practices, and infrastructure-as-code tools (e.g., Terraform) is a plus.
- Background in computer science or similar quantitative field.
#LI-GL1
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
Senior Data Engineer
Share this job
WHO ARE WE?
Launch Potato is a profitable digital media company that reaches over 30M+ monthly visitors through brands such as FinanceBuzz, All About Cookies, and OnlyInYourState.
As The Discovery and Conversion Company, our mission is to connect consumers with the world’s leading brands through data-driven content and technology.
Headquartered in South Florida with a remote-first team spanning over 15 countries, we’ve built a high-growth, high-performance culture where speed, ownership, and measurable impact drive success.
WHY JOIN US?
At Launch Potato, you’ll accelerate your career by owning outcomes, moving fast, and driving impact with a global team of high-performers.
BASE SALARY: $150,000 to $190,000 per year, paid semi-monthly
MUST HAVE:
- 5+ years of experience in data engineering within fast-paced, cloud-native environments
- Deep expertise in Python, SQL, Docker, and AWS (S3, Glue, Kinesis, Athena/Presto)
- Experience building and managing scalable ETL pipelines and data lake infrastructure
- Familiarity with distributed systems, Spark, and data quality best practices
- Strong cross-functional collaboration skills to support BI, analytics, and engineering teams
EXPERIENCE: 5+ years of data engineering experience in an AWS-based environment where data powers decision-making across product, marketing, and operations.
YOUR ROLE
Lead scalable data engineering efforts that empower cross-functional teams with reliable, timely, and actionable data, ensuring Launch Potato’s analytics and business intelligence infrastructure fuels strategic growth.
OUTCOMES
- Build and optimize scalable, efficient ETL and data lake processes that proactively catch issues before they impact the business
- Own the ingestion, modeling, and transformation of structured and unstructured data to support reporting and analysis across all business units
- Partner closely with BI and Analytics to deliver clean, query-ready datasets that improve user acquisition, engagement, and revenue growth
- Maintain and enhance database monitoring, anomaly detection, and quality assurance workflows
- Serve as the internal point of contact for reporting infrastructure—delivering ad hoc data analyses and driving consistent data integrity
- Drive adoption and advancement of Looker dashboards by ensuring robust and scalable backend data support
- Contribute to the future of Launch Potato’s data team by mentoring peers and shaping a high-performance, quality-first engineering culture
COMPETENCIES
- Data Engineering Mastery: Demonstrates technical excellence in building data pipelines, troubleshooting distributed systems, and scaling infrastructure using AWS and open-source tools
- Cross-Functional Collaboration: Communicates clearly across technical and non-technical teams, translating business needs into robust data solutions
- Proactive Ownership: Operates with a strong sense of accountability; identifies and solves data issues independently and efficiently
- Quality-Driven Execution: Holds a high bar for data accuracy, auditability, and documentation throughout all systems and workflows
- Strategic Thinking: Anticipates how data infrastructure impacts wider company OKRs and proactively suggests improvements and innovations
- Growth Mindset: Seeks out opportunities to elevate team capabilities, mentor others, and stay ahead of evolving best practices in data engineering
TOTAL COMPENSATION
Base salary is set according to market rates for the nearest major metro and varies based on Launch Potato’s Levels Framework. Your compensation package includes a base salary, profit-sharing bonus, and competitive benefits. Launch Potato is a performance-driven company, which means once you are hired, future increases will be based on company and personal performance, not annual cost of living adjustments.
Want to accelerate your career? Apply now!
Since day one, we've been committed to having a diverse, inclusive team and culture. We are proud to be an Equal Employment Opportunity company. We value diversity, equity, and inclusion.
We do not discriminate based on 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, or other applicable legally protected characteristics.
Ready to apply?
Apply to Launch Potato
Lead Data Engineer
Share this job
WHO ARE WE?
Launch Potato is a profitable digital media company that reaches over 30M+ monthly visitors through brands such as FinanceBuzz, All About Cookies, and OnlyInYourState.
As The Discovery and Conversion Company, our mission is to connect consumers with the world’s leading brands through data-driven content and technology.
Headquartered in South Florida with a remote-first team spanning over 15 countries, we’ve built a high-growth, high-performance culture where speed, ownership, and measurable impact drive success.
WHY JOIN US?
At Launch Potato, you’ll accelerate your career by owning outcomes, moving fast, and driving impact with a global team of high-performers.
BASE SALARY: $150,000 to $190,000 per year, paid semi-monthly
MUST HAVE:
- 5+ years of experience in data engineering within fast-paced, cloud-native environments
- Deep expertise in Python, SQL, Docker, and AWS (S3, Glue, Kinesis, Athena/Presto)
- Experience building and managing scalable ETL pipelines and data lake infrastructure
- Familiarity with distributed systems, Spark, and data quality best practices
- Strong cross-functional collaboration skills to support BI, analytics, and engineering teams
EXPERIENCE: 5+ years of data engineering experience in an AWS-based environment where data powers decision-making across product, marketing, and operations.
YOUR ROLE
Lead scalable data engineering efforts that empower cross-functional teams with reliable, timely, and actionable data, ensuring Launch Potato’s analytics and business intelligence infrastructure fuels strategic growth.
OUTCOMES
- Build and optimize scalable, efficient ETL and data lake processes that proactively catch issues before they impact the business
- Own the ingestion, modeling, and transformation of structured and unstructured data to support reporting and analysis across all business units
- Partner closely with BI and Analytics to deliver clean, query-ready datasets that improve user acquisition, engagement, and revenue growth
- Maintain and enhance database monitoring, anomaly detection, and quality assurance workflows
- Serve as the internal point of contact for reporting infrastructure—delivering ad hoc data analyses and driving consistent data integrity
- Drive adoption and advancement of Looker dashboards by ensuring robust and scalable backend data support
- Contribute to the future of Launch Potato’s data team by mentoring peers and shaping a high-performance, quality-first engineering culture
COMPETENCIES
- Data Engineering Mastery: Demonstrates technical excellence in building data pipelines, troubleshooting distributed systems, and scaling infrastructure using AWS and open-source tools
- Cross-Functional Collaboration: Communicates clearly across technical and non-technical teams, translating business needs into robust data solutions
- Proactive Ownership: Operates with a strong sense of accountability; identifies and solves data issues independently and efficiently
- Quality-Driven Execution: Holds a high bar for data accuracy, auditability, and documentation throughout all systems and workflows
- Strategic Thinking: Anticipates how data infrastructure impacts wider company OKRs and proactively suggests improvements and innovations
- Growth Mindset: Seeks out opportunities to elevate team capabilities, mentor others, and stay ahead of evolving best practices in data engineering
TOTAL COMPENSATION
Base salary is set according to market rates for the nearest major metro and varies based on Launch Potato’s Levels Framework. Your compensation package includes a base salary, profit-sharing bonus, and competitive benefits. Launch Potato is a performance-driven company, which means once you are hired, future increases will be based on company and personal performance, not annual cost of living adjustments.
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Since day one, we've been committed to having a diverse, inclusive team and culture. We are proud to be an Equal Employment Opportunity company. We value diversity, equity, and inclusion.
We do not discriminate based on 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, or other applicable legally protected characteristics.
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We’re looking for an experienced Data Engineer to join Apadmi and help our clients unlock value from their data through scalable, insight driven platforms. You’ll work with multi disciplinary teams to design and deliver data solutions that power insight, marketing activation and product experiences across mobile and web. This is a role for someone technically strong, commercially aware and ready to step in as an ambassador for Apadmi, helping shape and grow our Data Engineering capability.
As a Data Engineer, you’ll…
Design and deliver scalable data pipelines and architectures that transform raw data into actionable insight and activation across client ecosystems. You’ll collaborate with Product, Marketing, Engineering and Data teams to ensure data is accurate, accessible and driving measurable outcomes, while helping shape Apadmi’s growing data engineering capability in a fast paced, innovative environment.
What you’ll be working on
In this role, you’ll design and build end-to-end data solutions across multiple clients and industries. You’ll develop robust pipelines that power insight, reporting and real time activation, enabling everything from dashboards to personalised customer experiences. You’ll also play a key role in defining best practices, supporting new business opportunities and laying the foundations for Apadmi’s Data Engineering function.
- Design, build and maintain scalable data pipelines across AWS, Azure and GCP
- Develop and optimise data models to support BI tools such as Power BI, Tableau and Looker
- Enable marketing and audience activation through CDPs and direct integrations with paid media platforms
- Integrate data pipelines with web and app ecosystems, including analytics platforms and event tracking frameworks
- Support real time and batch data processing for insight and activation use cases
- Ensure data quality, governance and compliance, including GDPR considerations
- Collaborate with cross functional teams to translate business requirements into technical solutions
- Contribute to defining data architecture standards and best practices across the organisation
- Support new business opportunities with data engineering expertise and solution design
- Participate in agile delivery processes, ideally within SCRUM frameworks
What you’ll bring to the team
You’ll be technically strong, solution oriented and comfortable working across the full data lifecycle, from ingestion and transformation through to insight and activation. You’ll have experience working in fast paced environments, ideally within an agency or consultancy, and be confident communicating complex technical concepts to a range of stakeholders. You’re proactive, adaptable and excited by the opportunity to help build and shape a growing capability.
- Strong experience across cloud platforms, including AWS, Azure and GCP
- GCP Professional Certification (e.g. Professional Data Engineer or Cloud Architect)
- Proven experience building and maintaining production grade data pipelines using tools such as DBT, Airflow or Databricks.
- Proficient in orchestrating cloud environments using Infrastructure as Code (IaC) tools like Terraform.
- Strong SQL and experience with Python or similar programming languages
- Experience working with BI tools such as Power BI, Tableau or Looker
- Understanding of marketing and data activation ecosystems, including CDPs, CXPs, paid media integrations, etc
- Experience integrating data across web and app environments
- Knowledge of data governance, security and compliance best practices
- Strong stakeholder management and communication skills
- Agile experience, ideally SCRUM
- Proactive, flexible and adaptable approach to work
- Commitment to delivering high quality, scalable solutions for both users and clients
- Predominantly office based, with ability to collaborate in person and virtually
Ready to apply?
Apply to Apadmi