About the team

The Data Delivery team builds the systems that help StackAdapt customers and internal teams understand campaign performance.

We process, organize, and serve large volumes of campaign and marketing data so it can be used reliably across customer-facing dashboards, reporting, billing, planning, campaign pacing, measurement, exports, and internal analytics.

Our work turns raw activity — such as impressions, clicks, conversions, spend, pacing, audience reach, creative performance, and cross-channel engagement — into accurate and actionable insights.

The team works closely with product managers, backend engineers, web engineers, data scientists, analysts, business teams, and customer-facing teams to make data accurate, timely, scalable, and easy to use.

Why this role matters

StackAdapt is expanding into the next generation of AI-powered advertising and marketing execution. As the platform grows across media, email, social, and emerging AI-powered channels, customers need a trusted view of performance across the full customer journey.

The Data Delivery team is at the forefront of making this possible. We build the reporting, measurement, planning, billing, API, export, and data-serving systems that help customers trust the data, understand performance, and optimize campaigns.

As a Staff Software Engineer I on Data Delivery, you will lead complex technical initiatives across backend systems, with a focus on measurement and planning. You will act as a project and domain DRI for this area: translating product requirements into technical requirements, clarifying feasibility and trade-offs, shaping milestones, identifying risks, and keeping execution moving.

You will partner closely with product, engineering, and engineering management to recommend technical options, push back on unrealistic plans when needed, and help the team make sound decisions. Your work will help build the technical foundation for reliable customer-facing insights and make new product capabilities easier to launch and scale.

To learn more about StackAdapt’s broader platform vision, watch Yang Han discuss the evolution of StackAdapt’s AI-powered advertising and marketing platform: How AI Advertising Platform StackAdapt Connects Marketers With Agencies - CTO Yang Han

What you’ll be doing

• Domain ownership: Act as a project and domain DRI for measurement and planning initiatives within Data Delivery.
• Technical planning: Translate product requirements into technical requirements, clarify feasibility and trade-offs, shape milestones, and identify risks early.
• Execution leadership: Keep complex initiatives moving by unblocking decisions, coordinating across teams, and giving engineering leadership clear options and recommendations.
• Scalable data systems: Build reliable systems that process, organize, and serve large volumes of campaign and marketing data across StackAdapt.
• Customer-facing impact: Power reporting, measurement, planning, billing, pacing, exports, APIs, and analytics that customers and internal teams depend on.
• System design: Make thoughtful technical decisions that balance correctness, reliability, latency, freshness, cost, and long-term maintainability.
• Cross-functional partnership: Work closely with product, engineering, data science, analytics, and business teams to turn product goals into strong technical solutions.
• Operational excellence: Improve monitoring, testing, data quality, incident response, and documentation so our systems are easier to trust and operate.
• Technical mentorship: Support engineers through design reviews, code reviews, technical guidance, and clear communication of trade-offs.

What you’ll bring

• Backend and data systems experience: Strong experience building scalable services, distributed systems, data platforms, or data-intensive applications.
• Project leadership: Experience leading complex technical projects with ambiguous requirements, multiple stakeholders, and meaningful trade-offs.
• System design depth: Strong judgment across APIs, data pipelines, databases, distributed systems, observability, reliability, and operational ownership.
• Data quality mindset: Ability to reason about correctness, freshness, completeness, consistency, cost efficiency, and customer trust.
• Product judgment: Interest in building systems that support customer-facing reporting, measurement, planning, optimization, and analytics.
• Technical communication: Ability to explain decisions clearly, align stakeholders, and document important trade-offs.
• Mentorship: Experience helping other engineers grow and raising the technical bar of a team.
• Technical stack: Strong programming skills; experience with Golang and technologies such as Kafka, TiDB, Redshift, Vitess, Iceberg, StarRocks, or Trino is a plus.
• Domain experience: Experience in adtech, marketing technology, reporting, analytics, billing, attribution, planning, or high-volume event processing is a plus.

What success looks like

You will help Data Delivery build trusted, scalable, and efficient data systems that customers and internal teams rely on to understand performance and make better decisions.

In practice, this means:

• Measurement and planning initiatives have clear technical direction, realistic milestones, and strong execution across teams.
• Customers can trust the data they use to evaluate and optimize campaigns.
• Core data systems are more reliable, scalable, and easier to build on.
• New metrics, datasets, APIs, exports, and reporting capabilities can launch faster and with greater confidence.
• Product and engineering teams can build new advertising, marketing, measurement, and AI-powered capabilities more easily.
• The team makes better technical decisions because trade-offs are clearly understood and communicated.
• Engineers around you grow through your mentorship, guidance, and example.
• Data Delivery helps StackAdapt scale new product opportunities by giving customers a trusted view of performance across channels and the customer journey.

#LI-TM8

About the team

The Data Delivery team builds the systems that help StackAdapt customers and internal teams understand campaign performance.

We process, organize, and serve large volumes of campaign and marketing data so it can be used reliably across customer-facing dashboards, reporting, billing, forecasting, campaign pacing, measurement, exports, and internal analytics.

Our work turns raw activity — such as impressions, clicks, conversions, spend, pacing, audience reach, creative performance, and cross-channel engagement — into accurate and actionable insights.

The team works closely with product managers, backend engineers, web engineers, data scientists, analysts, business teams, and customer-facing teams to make data accurate, timely, scalable, and easy to use.

Why this role matters

StackAdapt is expanding into the next generation of AI-powered advertising and marketing execution. As the platform grows across media, email, social, and emerging AI-powered channels, customers need a trusted view of performance across the full customer journey.

The Data Delivery team is at the forefront of making this possible. We build the reporting, measurement, forecasting, billing, API, export, and data-serving systems that help customers trust the data, understand performance, and optimize campaigns.

As a Senior Staff Software Engineer on Data Delivery, you will help shape the long-term technical strategy for Data Delivery and the broader Stats & Analytics domain. You will work across teams to understand how the platform fits together, identify the right technical investments, and enable new product and feature development through scalable, reliable, and well-designed data systems.

This role is ideal for someone who can operate across a broad technical surface area, connect product goals with platform architecture, and influence technical direction beyond a single team.

To learn more about StackAdapt’s broader platform vision, watch Yang Han discuss the evolution of StackAdapt’s AI-powered advertising and marketing platform:
How AI Advertising Platform StackAdapt Connects Marketers With Agencies - CTO Yang Han

What you’ll be doing

• Technical strategy: Shape the long-term architecture and technical direction for Data Delivery and related Stats & Analytics systems.
• Cross-team leadership: Lead initiatives that span multiple teams, systems, and product areas, helping teams align on durable technical solutions.
• Platform enablement: Build and guide systems that make it easier to launch new reporting, measurement, forecasting, billing, export, and analytics capabilities.
• System design: Make high-impact technical decisions across APIs, data pipelines, data models, distributed systems, storage, serving layers, and operational patterns.
• Product partnership: Work with product, engineering, data science, analytics, and business leaders to translate company priorities into technical roadmaps.
• Technical quality: Identify systemic gaps in reliability, scalability, data quality, developer experience, and operational ownership, then drive improvements.
• Decision-making: Clarify trade-offs around correctness, latency, freshness, cost, migration complexity, maintainability, and long-term platform leverage.
• Technical mentorship: Coach and mentor engineers, including senior engineers, through architecture reviews, design discussions, and strategic technical guidance.

What you’ll bring

• Broad technical leadership: Experience shaping technical direction across teams, domains, or large platform areas.
• Backend and data systems expertise: Deep experience building scalable services, distributed systems, data platforms, or data-intensive applications.
• Strategic system design: Strong judgment across APIs, data pipelines, databases, distributed systems, observability, reliability, and long-term architecture.
• Cross-functional influence: Ability to align engineering, product, data science, analytics, and business stakeholders around technical strategy.
• Platform thinking: Ability to design systems that create leverage for multiple teams and make future product development easier.
• Data quality mindset: Strong ability to reason about correctness, freshness, completeness, consistency, explainability, cost efficiency, and customer trust.
• Business and product judgment: Ability to connect technical investments to customer impact, product velocity, reliability, and long-term business value.
• Technical communication: Ability to explain complex technical trade-offs clearly to both technical and non-technical audiences.
• Mentorship: Experience developing senior engineers and raising engineering standards across a team or domain.
• Technical stack: Strong programming skills; experience with Golang and technologies such as Kafka, TiDB, Redshift, Vitess, Iceberg, StarRocks, or Trino is a plus.
• Domain experience: Experience in adtech, marketing technology, reporting, analytics, billing, attribution, forecasting, or high-volume event processing is a plus.

What success looks like

You will help Data Delivery and the broader Stats & Analytics domain build trusted, scalable, and efficient data systems that enable faster product development and better customer outcomes.

In practice, this means:

• Data Delivery has a clear long-term technical direction that supports StackAdapt’s product and platform growth.
• Teams can launch new reporting, measurement, forecasting, billing, export, and analytics capabilities faster and with greater confidence.
• Core data systems are more reliable, scalable, cost-efficient, and easier to evolve.
• Product and engineering teams have a stronger understanding of how Stats & Analytics systems fit together.
• Technical trade-offs are clearly understood, documented, and aligned across teams.
• Engineers around you grow through your mentorship, strategic guidance, and example.
• Data Delivery helps StackAdapt scale new advertising and marketing opportunities by giving customers a trusted view of performance across channels and the customer journey.

Location: Remote (For Non-Local) or Hybrid (Local to NYC area or Denver, CO)

Position Summary:

As a member of the Enterprise Solutions team, you will play a critical role in contributing to the success of Judi Health’s customers leveraging Judi, our Enterprise Health Platform, to service their own pharmacy administrative needs. The Enterprise Solutions team seeks individuals who are passionate to change the landscape of claims processing while providing superior service. This individual will hold responsibility for the setup and ongoing maintenance of accumulator, claims and override data in Judi.

Position Responsibilities:

• Accountable for configuration, load, and maintenance of data from previous adjudication systems into Judi.
• Provide customers with subject matter expertise in Judi’s capabilities, ensuring successful migration to the adjudication platform, with parity of all logic and initiatives.
• Devise a repeatable process for implementing data in Judi, establishing key milestones, and maintaining up to date project plan.
• Build and maintain trusting relationships with customers through superior customer service, meeting or exceeded service level metrics.
• Perform QA and claims testing to validate that data loads yield appropriate adjudication results.
• Partner with Analytics colleagues to author automated/manual test cases and monitoring processes for configurations and data loads.
• Proactively identify execution risks around build status and defects, partnering with internal Product teams and clients to surface mitigation strategies.
• Contribute to playbooks/templates that scale configurations for future client onboardings.
• Take charge of critical issues or problems to key stakeholders, ensuring swift resolution and communication within service level agreements.
• Certain times of year may require meeting participation, travel, service support or other requirements outside of standard business hours, including weekends.
• Responsible for adherence to the Capital Rx Code of Conduct, including reporting of noncompliance.

Minimum Qualifications:

• 1+ years of experience in an Analyst role, Software Engineering role or related work experience
• 1+ year of PBM or Health Plan operations experience handling adjudication configurations.
• Experience performing complex analyses on large sets of data
• Knowledge of data management, statistics, modeling
• Experience working with structured and unstructured data
• Proficient in SQL, JSON, Java, R, Excel, and other data visualization tools
• Track record of leading cross-functional initiatives, driving high performance, meeting deadlines, and executing on deliverables.
• Exceptional project / time management, prioritization, and organizational skills to ensure customer satisfaction.
• Ability to shift between competing priorities and meet organizational goals.
• Excellent verbal, written, interpersonal and presentation skills.
• Ability to work effectively with virtual teams.
• Ability to travel 5-10%.

Preferred Qualifications:

• Bachelor's Degree preferred, or equivalent combination of education, training, and experience.

• Experience working with AWS Redshift

THE POSITION
Our roster has an opening with your name on it

FanDuel is looking for a Senior Data Governance Analyst to drive data literacy across FanDuel.

In addition to the specific responsibilities outlined above, employees may be required to perform other such duties as assigned by the Company. This ensures operational flexibility and allows the Company to meet evolving business needs.

THE GAME PLAN
Everyone on our team has a part to play

• Should Represent the Data Governance team in discussions with technical and business stakeholders globally as a subject matter expert on our toolkit and roadmap
• Support metadata management processes and standards across all of the data domains to ensure data integrity and standardization
• Promote a culture of data governance by developing partnerships with data owners and stewards to promote data governance best practices
• Outline and help implement data governance performance and standards, while developing and implementing operating plans to achieve those standards via audits, automation and processes
• Identify and communicate improvements in the design and effectiveness of key controls and processes including automation
• Serve as a SME on product interface and capabilities for select data domains
• Understand business requirements, translating them into actionable specifications including how data should be governed

THE STATS
What we're looking for in our next teammate

• BA or BS in Information Systems, CS, Data Management or Analysis or similar is desired.
• 5+ years’ experience in a data driven function and role such as a data governance analyst, quality assurance analyst, product owner, data analyst, or similar role diligently applying principles, practices, and theory
• Strong sense of ownership over deliverables, as this role will have end-to-end responsibilities for certain processes and procedures
• Good skills and knowledge of facilitation, situational awareness, conflict resolution, continual improvement, empowerment, and increasing transparency.
• Excellent written and verbal communication skills. Able to communicate anywhere from the team level to C-level executives.
• Excellent collaboration skills and the ability to communicate business value and obtain buy-in for process and culture changes

Preferred:

• Minimum two years of experience in the technology industry, knowledge of clickstream datasets a plus.
• Experience with Data Governance tools such as Alation, Collibra, Informatica, etc.
• Experience with Data Quality tools and/or Data Classification tools
• High familiarity with data platforms and applications such as S3, Databricks, Snowflake, Redshift, Airflow and BI Tools such as Tableau, Looker, Microstrategy
• Proficiency with Python, Pyspark or SQL
• Knowledge of sports and/or experience working within a heavily regulated industry is a plus
• Don’t check all the boxes? That’s okay! We encourage you to still apply if you feel like you possess an adjacent skill set and are interested in learning more about this position.
  
  

ABOUT FANDUEL

FanDuel Group is the premier mobile gaming company in the United States and Canada. FanDuel Group consists of a portfolio of leading brands across mobile wagering including: America’s #1 Sportsbook, FanDuel Sportsbook; its leading iGaming platform, FanDuel Casino; the industry’s unquestioned leader in horse racing and advance-deposit wagering, FanDuel Racing; and its daily fantasy sports product.  

In addition, FanDuel Group operates FanDuel TV, its broadly distributed linear cable television network and FanDuel TV+, its leading direct-to-consumer OTT platform. FanDuel Group has a presence across all 50 states, Canada, and Puerto Rico.

The company is based in New York with US offices in Los Angeles, Atlanta, and Jersey City, as well as global offices in Canada and Scotland. The company’s affiliates have offices worldwide, including in Ireland, Portugal, Romania, and Australia.

FanDuel Group is a subsidiary of Flutter Entertainment, the world's largest sports betting and gaming operator with a portfolio of globally recognized brands and traded on the New York Stock Exchange (NYSE: FLUT).

PLAYER BENEFITS
We treat our team right

We offer amazing benefits above and beyond the basics. We have an array of health plans to choose from (some as low as $0 per paycheck) that include programs for fertility and family planning, mental health support, and fitness benefits. We offer generous paid time off (PTO & sick leave), annual bonus and long-term incentive opportunities (based on performance), 401k with up to a 5% match, commuter benefits , pet insurance, and more - check out all our benefits here: FanDuel Total Rewards. *Benefits differ across location, role, and level.

FanDuel is an equal opportunities employer and we believe, as one of our principles states, “We are One Team!”. As such, we are committed to equal employment opportunity regardless of race, color, ethnicity, ancestry, religion, creed, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, veteran status, or any other characteristic protected by state, local or federal law. We believe FanDuel is strongest and best able to compete if all employees feel valued, respected, and included.

The applicable salary range for this position is $138,000 - $181,650 USD, which is dependent on a variety of factors including relevant experience, location, business needs and market demand. This role may offer the following benefits: medical, vision, and dental insurance; life insurance; disability insurance; a 401(k) matching program; among other employee benefits. This role may also be eligible for short-term or long-term incentive compensation, including, but not limited to, cash bonuses and stock program participation. This role includes paid personal time off and 14 paid company holidays. FanDuel offers paid sick time in accordance with all applicable state and federal laws.

FanDuel is committed to providing reasonable accommodations for qualified individuals with disabilities. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please email Benefits@fanduel.com.

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.

#LI-Hybrid 

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.

The Role 

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.

Qualifications

• 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. 

Preferred Experience

• 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. 

BENEFITS & PERKS

• Unlimited PTO
• Excellent medical, dental, and vision coverage
• Employee Equity
• Employee Discounts, Virtual Wellness Classes, and Pet Insurance And more!!

SALARY RANGE

The salary range for this role is $165,000 - $175,000, depending on location and experience. 

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!

https://zetaglobal.com/press/?cat=press-releases

#LI-YW1

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.

The Role 

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.

Qualifications

• 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. 

Preferred Experience

• 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. 

BENEFITS & PERKS

• Unlimited PTO
• Excellent medical, dental, and vision coverage
• Employee Equity
• Employee Discounts, Virtual Wellness Classes, and Pet Insurance And more!!

SALARY RANGE

The salary range for this role is $165,000 - $175,000, depending on location and experience. 

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!

https://zetaglobal.com/press/?cat=press-releases

#LI-YW1

ABOUT THE TEAM

The People Analytics team is at the forefront of transforming how we understand and optimize our workforce. We are a dynamic group of analytical thinkers and storytellers who leverage advanced analytics and robust methodologies to create strategic insights from complex HR data. Collaborating closely with HR Business Partners, Program Management Teams, Business Operations, Talent Acquisition and various cross functional stakeholders we provide actionable insights that drive informed decisions across the entire employee lifecycle; from optimizing talent acquisition and development to enhancing engagement and retention. Our work directly shapes a thriving employee experience, fuels organizational growth, and ensures our people strategy is truly data-driven.

ABOUT THE JOB

This role is central to our People Data & Analytics team, where you will be instrumental in building and maintaining the robust data infrastructure that powers our strategic insights. You'll own the full data lifecycle, from ensuring accurate ingestion and integration of diverse HR data sources, to designing, developing, and optimizing data models and pipelines. Your primary objective will be to transform raw, disparate information into clean, reliable, and analytics-ready datasets, empowering our People Analysts and business stakeholders to unlock deeper understanding of our workforce, enhance employee experience, and drive data-driven decision-making. Success in this role requires a strong technical foundation, meticulous attention to data quality, and a passion for crafting efficient data solutions.

WHAT YOU'LL DO

• Design, build, and optimize robust ETL/ELT pipelines to reliably ingest, integrate, and transform diverse people data from various HR systems (HRIS, ATS, LMS, etc.) into our data platform.
• Develop, maintain, and govern scalable and secure data models, schemas, and ontologies specifically for people analytics, ensuring data quality, consistency, and accessibility for downstream consumption.
• Contribute to the strategic design, development, and evolution of our people data platform and tooling, advocating for engineering best practices, automation, and a scalable analytics ecosystem (e.g., leveraging SQLMesh, Iceberg, Flyte).
• Partner closely with People Analysts, HR Business Partners, and other stakeholders to understand their analytical needs and translate them into robust data solutions, providing well-structured, documented, and reliable datasets.
• Implement and monitor data quality checks, identify discrepancies, troubleshoot data issues, and ensure the reliability and integrity of people data across all systems.
• Continuously monitor the performance of data pipelines and models, identifying bottlenecks and implementing solutions to ensure the efficiency and scalability of our people data infrastructure.
• Create and maintain comprehensive documentation for data pipelines, models, and processes, and champion data engineering best practices (e.g., version control, testing, CI/CD) within the team.
• Implement and enforce strict data security measures and ensure all data handling practices comply with internal policies and external regulations (e.g., GDPR, CCPA) related to employee data privacy.
• Collaborate with broader enterprise analytics and data engineering teams to align on data architecture standards, integrate people data with other business domains, and contribute to the overall evolution of the company's data platform.

REQUIRED QUALIFICATIONS

• 5-7 years of progressive experience in Data Engineering, Analytics Engineering, or a similar role focused on building and optimizing data pipelines and data infrastructure.
• Expert-level proficiency in SQL for complex data manipulation and querying, and advanced Python for scripting, data processing, and automation.
• Extensive experience with cloud-based data warehousing solutions (e.g., Snowflake, Google BigQuery, AWS Redshift, Databricks/Delta Lake) and data lake technologies (e.g., AWS S3, Azure Data Lake Storage).
• Deep understanding and proven experience in designing, implementing, and maintaining robust data models (e.g., dimensional modeling, Kimball methodology) for analytical purposes.
• Hands-on experience building and optimizing complex ETL/ELT processes and data pipelines using modern tools such as dbt, Apache Airflow, Flyte, Dagster, or similar orchestration platforms.
• Excellent communication skills, both written and verbal, with the ability to translate technical concepts for non-technical stakeholders and collaborate effectively across diverse teams.
• Bachelor's degree in Computer Science, Engineering, Data Science, Information Systems, or a related field.
• Strong technical foundation in data engineering, with expertise in SQL, Python, and experience working with cloud-based data platforms (e.g., AWS, GCP, Azure).

Preferred Qualifications:

• Experience with big data processing frameworks (e.g., Apache Spark, Flink) and advanced data warehousing features like schema evolution or time travel (e.g., Apache Iceberg, Delta Lake).
• Direct hands-on experience with tools mentioned in our stack like Palantir Foundry, SQLMesh, Flyte, or similar cutting-edge data orchestration and transformation platforms.
• Relevant professional certifications from major cloud providers (e.g., AWS Certified Data Analytics - Specialty, Google Cloud Professional Data Engineer).
• Experience with tools like Terraform, CloudFormation, Docker, or Kubernetes for managing data infrastructure and deploying applications.
• Familiarity with integrating data pipelines with leading BI tools (e.g., Tableau, Power BI, Looker) to optimize dashboard performance and data accessibility for end-users.
• Deep expertise working with data from specific enterprise HRIS systems like Rippling, Workday, and Oracle HCM Cloud including their data models and APIs.
• Solid understanding of HR data concepts, metrics, and common HR systems (HRIS, ATS, LMS), with a strong interest in People Analytics.

ABOUT THE TEAM

The People Analytics team is at the forefront of transforming how we understand and optimize our workforce. We are a dynamic group of analytical thinkers and storytellers who leverage advanced analytics and robust methodologies to create strategic insights from complex HR data. Collaborating closely with HR Business Partners, Program Management Teams, Business Operations, Talent Acquisition and various cross functional stakeholders we provide actionable insights that drive informed decisions across the entire employee lifecycle; from optimizing talent acquisition and development to enhancing engagement and retention. Our work directly shapes a thriving employee experience, fuels organizational growth, and ensures our people strategy is truly data-driven.

ABOUT THE JOB

This role is central to our People Data & Analytics team, where you will be instrumental in building and maintaining the robust data infrastructure that powers our strategic insights. You'll own the full data lifecycle, from ensuring accurate ingestion and integration of diverse HR data sources, to designing, developing, and optimizing data models and pipelines. Your primary objective will be to transform raw, disparate information into clean, reliable, and analytics-ready datasets, empowering our People Analysts and business stakeholders to unlock deeper understanding of our workforce, enhance employee experience, and drive data-driven decision-making. Success in this role requires a strong technical foundation, meticulous attention to data quality, and a passion for crafting efficient data solutions.

WHAT YOU'LL DO

• Design, build, and optimize robust ETL/ELT pipelines to reliably ingest, integrate, and transform diverse people data from various HR systems (HRIS, ATS, LMS, etc.) into our data platform.
• Develop, maintain, and govern scalable and secure data models, schemas, and ontologies specifically for people analytics, ensuring data quality, consistency, and accessibility for downstream consumption.
• Contribute to the strategic design, development, and evolution of our people data platform and tooling, advocating for engineering best practices, automation, and a scalable analytics ecosystem (e.g., leveraging SQLMesh, Iceberg, Flyte).
• Partner closely with People Analysts, HR Business Partners, and other stakeholders to understand their analytical needs and translate them into robust data solutions, providing well-structured, documented, and reliable datasets.
• Implement and monitor data quality checks, identify discrepancies, troubleshoot data issues, and ensure the reliability and integrity of people data across all systems.
• Continuously monitor the performance of data pipelines and models, identifying bottlenecks and implementing solutions to ensure the efficiency and scalability of our people data infrastructure.
• Create and maintain comprehensive documentation for data pipelines, models, and processes, and champion data engineering best practices (e.g., version control, testing, CI/CD) within the team.
• Implement and enforce strict data security measures and ensure all data handling practices comply with internal policies and external regulations (e.g., GDPR, CCPA) related to employee data privacy.
• Collaborate with broader enterprise analytics and data engineering teams to align on data architecture standards, integrate people data with other business domains, and contribute to the overall evolution of the company's data platform.

REQUIRED QUALIFICATIONS

• 5-7 years of progressive experience in Data Engineering, Analytics Engineering, or a similar role focused on building and optimizing data pipelines and data infrastructure.
• Expert-level proficiency in SQL for complex data manipulation and querying, and advanced Python for scripting, data processing, and automation.
• Extensive experience with cloud-based data warehousing solutions (e.g., Snowflake, Google BigQuery, AWS Redshift, Databricks/Delta Lake) and data lake technologies (e.g., AWS S3, Azure Data Lake Storage).
• Deep understanding and proven experience in designing, implementing, and maintaining robust data models (e.g., dimensional modeling, Kimball methodology) for analytical purposes.
• Hands-on experience building and optimizing complex ETL/ELT processes and data pipelines using modern tools such as dbt, Apache Airflow, Flyte, Dagster, or similar orchestration platforms.
• Excellent communication skills, both written and verbal, with the ability to translate technical concepts for non-technical stakeholders and collaborate effectively across diverse teams.
• Bachelor's degree in Computer Science, Engineering, Data Science, Information Systems, or a related field.
• Strong technical foundation in data engineering, with expertise in SQL, Python, and experience working with cloud-based data platforms (e.g., AWS, GCP, Azure).

Preferred Qualifications:

• Experience with big data processing frameworks (e.g., Apache Spark, Flink) and advanced data warehousing features like schema evolution or time travel (e.g., Apache Iceberg, Delta Lake).
• Direct hands-on experience with tools mentioned in our stack like Palantir Foundry, SQLMesh, Flyte, or similar cutting-edge data orchestration and transformation platforms.
• Relevant professional certifications from major cloud providers (e.g., AWS Certified Data Analytics - Specialty, Google Cloud Professional Data Engineer).
• Experience with tools like Terraform, CloudFormation, Docker, or Kubernetes for managing data infrastructure and deploying applications.
• Familiarity with integrating data pipelines with leading BI tools (e.g., Tableau, Power BI, Looker) to optimize dashboard performance and data accessibility for end-users.
• Deep expertise working with data from specific enterprise HRIS systems like Rippling, Workday, and Oracle HCM Cloud including their data models and APIs.
• Solid understanding of HR data concepts, metrics, and common HR systems (HRIS, ATS, LMS), with a strong interest in People Analytics.

About the opportunity

We are seeking a Data Engineer to help design, build, and scale modern data solutions that power analytics, operational reporting, and business decision-making across the company. You will work closely with our data, analytics, and business teams to develop high-quality data pipelines, models, and integrations that deliver clean, reliable, and actionable data.

You will join a small, cross-geography engineering team operating with a product mindset - delivering iterative value, partnering closely with business and analytics stakeholders, and owning both build and run responsibilities of a mission-critical platform.

What to expect?

• Design, build, and maintain scalable data pipelines and transformations across multiple systems and sources.
• Develop high-quality data models that support analytics, reporting, and operational use cases.
• Partner with analytics, product, and business stakeholders to understand data needs and translate them into technical solutions.
• Implement strong data quality, validation, and monitoring processes to ensure reliability and trust in the data.
• Optimize data storage, processing, and performance within cloud data warehousing environments.
• Contribute to the development and evolution of our modern data platform, including tooling, standards, and best practices.
• Support data platform operations—troubleshooting issues, improving reliability, and ensuring SLAs are met.
• Collaborate with cross-functional partners on governance, documentation, definitions, and data stewardship.
• Implement CI/CD practices and Infrastructure-as-Code (IaC) to automate deployment, testing, and environment management.
• Participate in code reviews, design discussions, and operational on-call rotations as needed.

What do you need to be successful?

Required

• 3–6+ years of experience in Data Engineering or a similar technical role.
• Strong SQL skills and experience working with cloud data warehouses (e.g., Snowflake, Redshift, BigQuery).
• Experience building and maintaining ETL/ELT pipelines using tools such as dbt, Airflow, or similar frameworks.
• Proficiency in Python or another scripting language.
• Strong understanding of data modeling, data structures, and modern data architecture patterns.
• Experience with CI/CD workflows, version control (Git), and Infrastructure-as-Code tools (Terraform a plus).
• Familiarity with data governance, quality, lineage, and cataloging concepts and tools.
• Demonstrated ability to collaborate with analysts, engineers, and business partners in a cross-functional environment.
• Excellent communication skills and a product-focused mindset.

Preferred

• Experience with monitoring/observability tools (e.g., Monte Carlo, Datadog).
• Experience with BI tools such as Tableau or Looker.
• Background in distributed systems, APIs, or event-based architectures.
• Exposure to data security, compliance, or privacy frameworks.
• Experience utilizing AI for development.

What we're looking for

• A builder who enjoys solving complex data challenges with clean, reliable, scalable solutions.
• A collaborator who thrives in cross-functional environments and communicates clearly.
• A problem-solver who cares about quality, consistency, and long-term maintainability.
• Someone who wants to make a measurable impact by empowering data-driven decision-making across the company.

What's in it for you?

• Join an ambitious tech company reshaping the way people build digital experiences
• Full-time employees receive Stock Options for the opportunity to share in the success of our company
• Comprehensive healthcare package covering 100% of monthly health premiums for employees and 85% of costs for your dependents. 
• Fertility and family building benefits, including a lifetime reimbursable wallet to support your growing family.
• We value Work-Life balance and You Time! A generous amount of paid time off, including vacation days, sick days, compassion days for loss,  education days, and volunteer days
• Company paid parental leave to care for and focus on your growing family 
• Use your personal annual education budget to improve your skills and grow in your career
• Enjoy a full range of virtual and in-person events, including workshops, guest speakers, and fun team activities, supporting learning and networking exchange beyond the usual work duties 
• An annual wellbeing stipend to care for your physical, financial, or emotional health
• A monthly communication stipend and phone hardware upgrade reimbursement.
• New hire office equipment stipend for hybrid or distributed employees. Get the gear you need to work at your best.

This role will need to be conducted in a state in which we are currently registered to do business. In addition, this position is not eligible for visa sponsorship. Applicants must be authorized to work without the need for visa sponsorship by the start date of employment.

This position is eligible for equity awards in accordance with the terms of Contentful’s equity plans.

The application deadline is 05/23/26

Colorado Salary Statement: The salary range displayed is specifically for those potential hires who will work or reside in the state of Colorado if selected for the role. Any offered salary is determined based on internal equity, internal salary ranges, market data/ranges, applicant's skills and prior relevant experience, certain degrees and certifications (e.g. JD/technology), for example.

Colorado Salary Range: $119,000-$161,000

About the opportunity

We are looking for a Data Scientist who will turn data into insights and build models that drive meaningful business outcomes. You will work closely with cross-functional stakeholders to understand problems, design analytical solutions, and deploy data products that scale.

What to expect?

• Collect, clean, and analyze structured and unstructured data.
• Develop predictive models, statistical analyses, and machine learning algorithms.
• Build dashboards, reports, and data visualizations to communicate insights.
• Collaborate with engineering to deploy models into production environments.
• Perform exploratory data analysis (EDA) to identify trends and opportunities.
• Conduct A/B testing and design experiments to measure feature performance.
• Document methodologies and ensure reproducibility of analytical work.
• Contribute to end-to-end machine learning workflows, including model training,  validation, and deployment, working with established tools and patterns and with support from engineering.
• Monitor model performance and data quality, and update models as needed.

What do you need to be successful?

Required

• Bachelor’s or Master’s in Data Science, Computer Science, Statistics, Mathematics, or related field.
• Strong proficiency in Python (pandas, scikit-learn, NumPy).
• Experience using SQL to work with analytical databases and data warehouses.
• Solid understanding of statistical modeling, model evaluation, and experimental methods.
• Familiarity with machine learning techniques (regression, classification, clustering, etc.).
• Hands-on experience building and running machine learning models in production or production-like environments.
• Experience building dashboards with tools like Tableau, or similar.
• Strong analytical and problem-solving skills.
• Ability to balance analytical rigor with practical delivery.
• Excellent communication skills with the ability to translate data insights into business actions.

Preferred    

• Familiarity with workflow orchestration or model lifecycle tools (e.g., Airflow, MLflow) at a practical, working level.
• Implement practical model deployment approaches (e.g., batch inference, scheduled retraining) using existing team tools and patterns.
• Experience with cloud platforms (AWS, or similar).
• Knowledge of ML Ops tools (MLflow, Airflow, or similar).
• Exposure to big data technologies (Redshift, Snowflake).
• Experience working in agile environments.

What's in it for you?

• Join an ambitious tech company reshaping the way people build digital experiences
• Full-time employees receive Stock Options for the opportunity to share in the success of our company
• Comprehensive healthcare package covering 100% of monthly health premiums for employees and 85% of costs for your dependents. 
• Fertility and family building benefits, including a lifetime reimbursable wallet to support your growing family.
• We value Work-Life balance and You Time! A generous amount of paid time off, including vacation days, sick days, compassion days for loss,  education days, and volunteer days
• Company paid parental leave to care for and focus on your growing family 
• Use your personal annual education budget to improve your skills and grow in your career
• Enjoy a full range of virtual and in-person events, including workshops, guest speakers, and fun team activities, supporting learning and networking exchange beyond the usual work duties 
• An annual wellbeing stipend to care for your physical, financial, or emotional health
• A monthly communication stipend and phone hardware upgrade reimbursement.
• New hire office equipment stipend for hybrid or distributed employees. Get the gear you need to work at your best.

This role will need to be conducted in a state in which we are currently registered to do business. In addition, this position is not eligible for visa sponsorship. Applicants must be authorized to work without the need for visa sponsorship by the start date of employment.

This position is eligible for equity awards in accordance with the terms of Contentful’s equity plans.

The application deadline is 05/21/2026

Colorado Salary Statement: The salary range displayed is specifically for those potential hires who will work or reside in the state of Colorado if selected for the role. Any offered salary is determined based on internal equity, internal salary ranges, market data/ranges, applicant's skills and prior relevant experience, certain degrees and certifications (e.g. JD/technology), for example.

Colorado Salary: $136,000-$184,000

Job Summary: 

A Motion Graphic Artist responsible for creating engaging, brand-driven animations while supporting videography post-production, including editing, color correction, and visual polish across multiple platforms. This role also provides photography post-production support using Photoshop, retouching, and preparing still assets to align seamlessly with video and motion-based storytelling.

Job Expectations: 

• Design and produce high-quality motion graphics for digital, social, web, and video platforms.

• Translate brand guidelines, creative briefs, and storyboards into polished motion assets.

• Animate typography, iconography, UI elements, and graphic systems with strong timing and visual rhythm.

• Support video post-production, including editing assistance, basic color correction, and visual enhancements

• Prepare and optimize assets for multiple formats, resolutions, and aspect ratios.

• Perform photography post-production in Photoshop, including retouching, color cleanup, and asset prep.

• Collaborate closely with creative leads, producers, and editors to maintain visual consistency.

• Manage multiple projects simultaneously while meeting deadlines and production schedules.

• Maintain organized project files and follow established naming, versioning, and delivery standards.

• Stay current on motion design trends, tools, and techniques to elevate output quality continuously

The duties and responsibilities described above may provide only a partial description of this position. This is not an exhaustive list of all aspects of the job. Other duties and responsibilities not outlined in this document may be added as necessary or desirable, with or without notice.

Knowledge, Skills, and Abilities:

  Knowledge

• Advanced understanding of motion design principles, animation timing, and visual storytelling

• Strong knowledge of end-to-end video post-production workflows and delivery standards

• Working knowledge of 3D creation and integration within motion graphics pipelines

• Familiarity with professional editing workflows using Adobe Premiere Pro and DaVinci Resolve

• Understanding of brand systems, visual consistency, and cross-platform execution

• Knowledge of collaborative production environments, file organization, and version control

Skills

• Advanced proficiency in After Effects for motion graphics, compositing, and animation

• Experience using Maxon 3D tools for After Effects (e.g., Cinema 4D, Cineware, Redshift integrations)
   

• Strong working proficiency in Adobe Premiere Pro and DaVinci Resolve for video editing and finishing

• Proficient in Photoshop for photography post-production, retouching, and asset preparation
  Ability to design, animate, and integrate 2D and 3D elements into cohesive motion systems

• Strong organizational and time-management skills across multiple projects

Abilities

• Ability to translate creative direction into high-quality, production-ready motion and 3D assets

• Ability to independently execute complex motion graphics projects from concept through delivery

• Ability to balance speed, quality, and creative integrity under deadline-driven conditions

• Ability to adapt 3D and motion assets across formats, platforms, and evolving requirements

• Ability to identify creative and technical opportunities to elevate visual storytelling

Equipment Knowledge: 

• Experience working on Apple Mac workstations in a professional creative production environment.

• Experience with Google Business Suite (Gmail, Drive, Docs, Sheets, Forms) preferred

Experience Requirements:

2-5 years of professional experience in motion graphics, with supporting experience in video post-production and 2D/3D integration

Education Requirements: 

Bachelor’s degree in a relevant creative field or equivalent hands-on professional experience in motion graphics and animation

#LI-LR1

Location: Preferably Hybrid (Local to NYC area) or Remote (For Non-Local)

About the team

The Platform team at Capital Rx is made up of a set of passionate, motivated, and driven individuals who are not only experts in technologies but are great problems solvers and brings high energy and inspiration every day. The team always works a sense of ownership and urgency delivering highest quality of work ensuring seamless operations and fostering collaboration across the software engineering department. We own the architecture, framework & standards, infrastructure and CI/CD pipelines which development teams utilize to deliver code to Captial Rx’s Judi® platform. The team is also responsible for the production environment which requires knowledge with monitoring, alerting and on-call practices. The Platform team performs many functions whether that is tactical operations, providing general solutions for the enterprise or giving guidance or recommendations for individual product teams.

Position Summary:

We are a rapidly growing late-stage health tech company helping millions of lives through our innovative product Judi. We’re seeking a highly skilled and experienced Platform Developer to join our platform team. This pivotal role will be instrumental in building, scaling, and maintain the robust and secure infrastructure that powers our mission-critical platform.

You will be a force multiplier, enabling our development teams to deliver features faster and more reliably. You will champion infrastructure-as-code principles, contribute code to platform scalability, drive automation across the entire software development lifecycle, and ensure our platform meets the highest standards of scalability, performance, and security.

Position Responsibilities:

• Develop and support highly available, scalable, and secure platform & infrastructure
• Develop and maintain robust automation pipelines for continuous delivery (CI/CD), and infrastructure provisioning tools like GoCD, Harness, and Terraform
• Write clean, efficient, and well-tested Python code for automation, tooling and service development.
• Manage and optimize relational or in-memory databases, including PostgreSQL, Redshift and Redis, ensuring high performance, reliability, and data integrity.
• Administer and finetune container orchestration platforms such EKS and ECS.
• Implement and manage serverless architectures leveraging AWS Lambda for various platform functionalities.
• Collaborate closely with development teams to ensure infrastructure aligns with application requirements and best practices.
• Contribute to defining and enforcing security best practices across the platform, including adherence to HIPAA standards, FISMA, SOC II, and FedRAMP compliance standards.
• Monitor systems performance, identify bottlenecks, and implement proactive solutions to ensure optimal operation and scalability.
• Participate in on-call rotations to provide operational support and incident response.
• Adopt Agile/Scrum methodologies, actively participating in sprint planning, stand-ups, and retrospectives.
• Evaluate and recommend new technologies and tools to enhance platform capabilities and efficiency.
• Develop internal tooling and automation scripts using Python and work with SQL to support operational workflows.
• Implement observability (monitoring/logging/alerting) best practices for highly available SaaS services.

Requirements

• 5+ years of experience as a Platform Engineer, DevOps Engineer, or Site Reliability Engineer.
• Strong expertise in AWS infrastructure and services including but not limited to EC2, Lambda, ECS, EKS, RDS, S3, VPC, CloudWatch, SQS, SNS, IAM, Kinesis
• Excellent proficiency with Terraform, Python, SQL, and automation tooling.
• Extensive experience with Docker and container orchestration (Kubernetes/EKS).
• Solid understanding and hands-on experience with SQL, database administration (PostgreSQL preferred), and performance tuning
• Experience with CI/CD systems (e.g., GoCD, GitHub Actions, Harness).
• Proven experience in automating Observability & Monitoring (Grafana, Kibana, Prometheus), standardizing incident response for alerts to maintain SLAs and SLOs
• Hands-on experience in environments compliant with FISMA, SOC 2, and/or FedRAMP.
• Background in building highly scalable, performant SaaS platforms.
• Excellent communication, collaboration and problem-solving skills.
• Ability to work effectively with cross-functional teams, including developers, IT security & compliance, product manager, and scrum masters.
• Strong experience in production on call rotations and responding to alerts.

This position description is designed to be flexible, allowing management the opportunity to assign or reassign duties and responsibilities as needed to best meet organizational goals.

 About the Role:  

At Evio, we are building a suite of solutions that enable pharmacy innovation and improved patient outcomes. Our solutions infrastructure is foundational to the value we offer to customers.  We are seeking an experienced Data Engineer who wants to build reliable, scalable systems to bring our mission to life.   

In this role, you will design, develop, and maintain our AWS-cloud-native data platform and systems necessary for efficient data processing, storage, and analysis. This role will work closely with our product management and data analytics teams to create and manage effective data ETL processes on our platforms: helping shape how data flows across our ecosystem and ensuring it is secure, accurate, and trustworthy.  

This is a hands-on role for a team player who wants to build a best-in-class system and make a difference in health care. We are a lean team with strong company culture, and every teammate plays a mission-critical role in our success.  

Key Responsibilities: 

Design and administer data systems:  

• Implement cloud-native data solutions across cloud services such as AWS Glue, AWS Lambda, AWS Step Functions, Redshift, Aurora, Amazon S3, MWAA-Airflow.
• Design and implement scalable data architectures using AWS cloud services, including data lakes, data warehouses, bulk data ingestion, and transaction processing.  
• Collaborate with customers and teammates to comprehend data requirements and translate business needs into well-designed data models.  
• Assemble large, complex data sets that meet functional business requirements.   
• Stay current with AWS services and recommend suitable tools for specific data engineering tasks.  
• Develop and support the internal applications using Python, SQL, and Stored Procedures.  

Build reliable data processes:  

• Develop, implement, and maintain ETL processes to ingest, clean, and transform complex health care data into our application data platforms.  
• Automate manual processes and to optimize data delivery and reduce operational friction. 

Optimize data pipeline performance:  

• Monitor and tune data pipelines and data storage for performance, cost, and reliability.  
• Implement caching mechanisms and data partitioning strategies to enhance query efficiency and reduce data processing times.  
• Continuously evaluate tools and recommend improvements, striving to consistently raise the bar.  

Lead and collaborate company-wide:  

• Provide technical guidance and mentorship within the data engineering team and foster a collaborative and innovative environment.
• Partner closely with product and analytics team to understand business goals and engineer solutions to the right problems.   
• Contribute to a culture of transparency, accountability, and continuous improvement.  

Protect and govern data responsibly:  

• Implement and enforce data security measures and maintain data governance standards and access controls to protect sensitive data.
• Ensure compliance with health care data regulations and industry best practices.  

The skills and experience you bring to this role include:    

• Bachelor’s degree in computer science, Informatics, Information Systems, or another quantitative field. 
• 10+ years of experience in data engineering or a similar role with demonstrated technical leadership experience.  
• Expertise building and administering, including writing views, stored procedures, and triggers, in AWS-native data systems (Redshift, Aurora, RDS PostgreSQL, Glue, Lambda, Step Functions, MWAA-Airflow).
• Strong Python and SQL experience, including advanced query design and database optimization.
• Experience with healthcare data (Medical Claims, Rx Claims) or similar healthcare data is required.  
• Ability to develop subject-matter expertise and partner thoughtfully with business teams.
• Trusted partner: reliable to deliver accurate work in a timely manner. 
• A passion for working with a team to improve how data drives meaningful outcomes.  

Salary Considerations: 

Anticipated annual base pay range: $130,000 - $150,000 plus additional variable compensation based on performance.

At Evio, we’re committed to building a competitive compensation package to honor the value our teammates bring as well as attract and retain top talent that is aligned with our culture, mission and values. Compensation includes base pay (range shown) and could include other variable compensation opportunities depending on job seniority, location, and date of hire. Evio also offers a number of attractive benefits to eligible teammates including health insurance, retirement savings, life and disability insurance, paid and unpaid time off, and other benefits to make sure Evio teammates and families are well supported.  

Please note that the base pay information shown is a general guideline for the job responsibilities and qualifications listed. Salary decisions are based on candidate experience, and market and business considerations. 

  Evio Benefits:

• Great Health Insurance
  The company pays 100% of medical, dental, and vision premiums for teammates, and 50% for dependents.
• 401K Match
  Evio matches 100% of teammate contribution up to 5% of salary, subject to IRS limits. 
• Time Off
  We have a flexible vacation policy for teammates to unplug and recharge when you need it. There is no minimum or maximum amount of vacation allowed per year, and there is no payment in consideration for unused vacation. Vacation is to be used at your discretion, with approval of leadership.
• Parental Leave
  Generous paid leave for new parents (includes birth and non-birth parents).

Evio values a diverse workplace and is committed to supporting and celebrating the diversity that each teammate brings to the table. We are proud to provide equal employment opportunities to all teammates and applicants for employment and prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, medical condition, genetic information, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.  

Consensys is the leading blockchain and web3 software company founded by Joe Lubin, CEO of Consensys and Co-Founder of Ethereum. Since 2014, Consensys has been at the forefront of innovation, pioneering technological developments within the web3 ecosystem.

Through our product suite, including the MetaMask platform, Infura, Linea, Diligence, and our NFT toolkit Phosphor, we have become the trusted collaborator for users, creators, and developers on their path to build and belong in the world they want to see.

Whether building a dapp, an NFT collection, a portfolio, or a better future, the instinct to build is universal. Consensys inspires and champions the builder instinct in everyone by making web3 universally easy to use and develop on.

Our mission is to unlock the collaborative power of communities by making the decentralized web universally easy to access, use, and build on. 

You’ll get to work on the tools, infrastructure, and apps that scale these platforms to onboard one billion participants and 5 million developers. You’ll be constantly exposed to new concepts, ideas, and frameworks from your peers, and as you work on different projects — challenging you to stay at the top of your game. You’ll join a network of builders that reaches the edge of our ecosystem. Consensys alumni have moved on to become tech entrepreneurs, CEOs, and team leads at tech companies. 

About the Data Team

The Data team sits within the Office of the COO and builds the infrastructure that powers analysis across the organisation. We design, run, and optimise pipelines that bring together product, marketing, and financial data at scale. Our role is to ensure data is reliable, accessible, and ready for use—helping Consensys move fast while maintaining quality and trust.

What you’ll do

• Design, build, and maintain robust data pipelines that integrate sources across the business.
• Collaborate closely with analysts, business stakeholders, and other engineering teams to gather requirements, align timelines, discuss architecture, and ensure successful delivery.
• Document data pipelines, best practices, and processes to support onboarding and knowledge sharing within the team.
• Develop and optimize data models to deliver trusted, structured, and business-ready data.
• Ensure data quality, security, and governance are embedded in all pipelines and systems.
• Orchestrate and monitor pipeline execution to ensure reliability and scalability.
• Deploy and manage infrastructure as code.
• Build and tune big data pipelines using SQL, Python, and distributed processing frameworks.
• Work with cloud data warehouses to enable insights and analytics.
• Maintain and update reporting solutions and user dashboards.
• Automate workflows and improve CI/CD pipelines to reduce manual processes.

Would be great if you brought this to the role

• Over 6 years of experience as a Data Engineer
• Use Trusted Execution Environments (TEEs) to securely process sensitive user data, ensuring it remains protected and only aggregated insights are released.
• Strong SQL skills and experience with cloud warehouses (e.g.: Snowflake, BigQuery, Redshift).
• Hands-on experience with transformation and orchestration tools (e.g.: dbt, Airflow, Dagster).
• Comfort with Python or other scripting languages for ETL and automation.
• Familiarity with data governance and metadata management (e.g.: DataHub).
• Experience deploying and managing infrastructure as code (e.g.: Terraform, Pulumi).
• Exposure to data integration and ingestion tools (e.g.: Airbyte, Segment).
• Experience with big data and distributed processing (e.g.: Apache Spark, AWS EMR, S3).
• Exposure to open source projects
• Experience maintaining and improving reporting solutions and dashboards (e.g.: Preset/Superset, Cube.dev).
• Familiarity with CI/CD practices and automation (e.g.: GitHub Actions).
• A collaborative mindset and eagerness to work with both technical and non-technical colleagues.

Don't meet all the requirements? Don't sweat it. We’re passionate about building a diverse team of humans and as such, if you think you've got what it takes for our chaotic-but-fun, remote-friendly, start-up environment—apply anyway, detailing your relevant transferable skills in your cover letter. While we have a pretty good idea of what we need, we're ready for you to challenge our thinking on who needs to be in this role.

It is a requirement of employment in this position that applicants will be required to submit to background checks including but not limited to employment, education and criminal record checks. Further details will be provided to applicants that successfully meet the criteria for the position as determined by the company in its sole discretion. By submitting an application for employment, you are acknowledging and consenting to this requirement.

Devops Engineer, Surveillance

A Career with Point72's Surveillance Team

Point72’s Surveillance team sets the industry standard for intelligence-driven surveillance by proactively identifying, monitoring, and assessing various sources of compliance risk using proprietary tools and specialized tradecraft. We support senior management by providing strategic assessments, actionable recommendations, and real-time escalations. At Point72, members of the Surveillance team conduct integrated trade and communication surveillance and collaborate to turn information into intelligence for our internal customers. The team also monitors employee activity for evidence of violations of applicable federal securities laws, internal compliance policies and procedures, and relevant rules and regulations enforced by the SEC, FINRA, and other organizations.

WHAT YOU'LL DO

• Lead the design and build of scalable data infrastructure and pipelines to power surveillance analytics, enabling rapid exploration and production deployment of signals and models
• Build and operate infrastructure as code to provision, secure, and manage cloud resources and platform services with an emphasis on repeatability and automation
• Design and maintain containerized platforms and orchestration layers to run analytics and machine learning workloads reliably and efficiently at scale
• Develop and maintain CI/CD pipelines and ML lifecycle automation to accelerate model development, validation, deployment, and rollback
• Implement and evolve observability, logging, and alerting across the stack to shorten time to detection and resolution for production incidents
• Automate security controls, access management, and compliance checks within platform tooling to support regulated surveillance workflows
• Collaborate closely with data scientists, analysts, and security teams to translate surveillance requirements into production-ready, maintainable systems
• Optimize cloud cost, performance, and operational practices for large-scale data processing, storage, and model training workloads
• Mentor engineers and contribute to platform best practices, documentation, and runbooks to drive continuous improvement and team impact

WHAT'S REQUIRED

• Bachelor's degree in computer science, engineering, or a related technical field, or equivalent professional experience
• 5+ years of hands-on experience in cloud infrastructure, DevOps, or platform engineering supporting production data or machine learning workloads
• Proven, hands-on experience with data warehouses and lakehouses such as Snowflake, Redshift, BigQuery, or Databricks
• Strong command of Infrastructure as Code with Terraform and Terraform Enterprise
• Proficiency in containerization with Docker or Podman, orchestration using Kubernetes, AWS EKS, or ECS Fargate, and implementation of GitOps principles and workflows
• Hands-on experience building CI/CD pipelines using GitHub Actions and automating model lifecycle using MLflow, Kubeflow, or Weights & Biases
• Experience operating observability and monitoring stacks including Datadog, AWS CloudWatch, and the Grafana ecosystem (Grafana, Loki, Prometheus)
• Extensive experience with AWS core services, including S3, EC2, Lambda, RDS, and EMR, and practical experience using Boto3 and AWS machine learning services such as SageMaker and Bedrock
• Strong scripting and programming skills in Python and Bash and proven experience operating Linux-based production systems
• Ability to work onsite in Stamford, CT and to communicate and troubleshoot effectively across cross-functional, distributed teams
• Commitment to the highest ethical standards

WE TAKE CARE OF OUR PEOPLE

We invest in our people, their careers, their health, and their well-being. When you work here, we provide:

• Fully-paid health care benefits
• Generous parental and family leave policies
• Volunteer opportunities
• Support for employee-led affinity groups representing women, people of color and the LGBT+ community
• Mental and physical wellness programs
• Tuition assistance
• A 401(k) savings program with an employer match and more

ABOUT POINT72

Point72 is a leading global alternative investment firm led by Steven A. Cohen. Building on more than 30 years of investing experience, Point72 seeks to deliver superior returns for its investors through fundamental and systematic investing strategies across asset classes and geographies. We aim to attract and retain the industry's brightest talent by cultivating an investor-led culture and committing to our people's long-term growth. For more information, visit https://point72.com/.

The annual base salary range for this role is $160,000-$250,000 (USD) , which does not include discretionary bonus compensation or our comprehensive benefits package. Actual compensation offered to the successful candidate may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level, among other things.

Octus is seeking a Principal Data Engineer to roll up their sleeves and build scalable, production-grade data pipelines and infrastructure. You'll be a hands-on technical leader — writing code daily, solving hard engineering problems, and helping elevate the team around you through doing. Spanning Snowflake, Databricks, and AWS, you'll be deeply involved in the day-to-day development of the data platform that powers Octus's products, data, and automation initiatives. The ideal candidate is an expert in Python and SQL who thrives in an execution-focused environment and has deep experience building modern data pipelines and lakehouse solutions.

Responsibilities

• Build and maintain end-to-end data pipelines — from raw ingestion through transformation and delivery — across diverse data sources (APIs, web data, internal feeds, etc.).
• Hands-on development of scalable, production-grade pipelines within Databricks, including Delta Lake table management, Workflows, and cluster optimization.
• Build and maintain data models, schemas, and transformation logic in Snowflake, optimizing for performance and reliability.
• Develop and manage Databricks environments including Unity Catalog, Delta Live Tables, and integration patterns that support both internal data consumers and external sharing use cases.
• Build and manage orchestration workflows using AWS services (MWAA/Airflow, Lambda, ECS, SQS, MSK) and Databricks-native orchestration where appropriate.
• Implement and maintain infrastructure as code (IaC) using Terraform, ensuring reproducibility and compliance with cloud standards.
• Establish and enforce best practices in data modeling, schema design, and ETL/ELT processes for high-volume structured and semi-structured data across Snowflake and Databricks.
• Ensure data quality, lineage, and observability through automated testing, monitoring, and alerting across all pipeline layers.
• Collaborate closely with technology leadership to align data platform development with business strategy and product goals.
• Stay at the forefront of industry trends in data engineering, lakehouse architecture, and cloud-native data platforms.

Requirements

• Strong foundation in software engineering principles, including SOLID design, modularity, and scalability.
• Expert proficiency in Databricks, including Delta Lake, Unity Catalog, Delta Live Tables, MLflow, and Databricks Workflows.
• Deep experience with Snowflake, including data modeling, performance optimization, and integration with upstream/downstream pipeline tooling.
• Expert proficiency in Python for data pipeline and automation development.
• Advanced SQL skills with experience optimizing complex queries and data models at scale.
• Proven experience designing and maintaining cloud-native data pipelines on AWS (e.g., MWAA/Airflow, Lambda, ECS, SQS, Glue, S3, Redshift, etc.).
• Experience implementing and managing Terraform or similar IaC frameworks.
• Strong understanding of lakehouse architecture patterns, data ingestion, transformation, and orchestration, including familiarity with ML/AI pipeline integration patterns.
• Familiarity with CI/CD pipelines, automated testing, and modern DevOps practices.
• 8+ years of experience in data engineering or backend development, with a focus on scalable data solutions.
• Demonstrated experience leading data infrastructure projects end-to-end and mentoring senior engineers.
• Familiarity with containerization (Docker) and workflow orchestration best practices.
• Excellent communication, collaboration, and problem-solving skills.

Nice to Have

• Experience with streaming data technologies (Kafka, Kinesis, Flink).
• Exposure to ML/AI pipeline patterns (feature stores, experiment tracking, model serving) and MLOps tooling, particularly in a cross-functional team environment.
• Experience integrating data quality and observability tools.
• Experience with Databricks as a data sharing and collaboration platform (Delta Sharing, Marketplace).
• Familiarity with Claude Code or similar AI-powered developer tools for accelerating pipeline development and code workflows.

At Octus, we consider a range of factors in connection with compensation decisions, including experience, skills, location, and our business needs and limitations. As a result, compensation may vary within and across similar roles and positions. Please note that the salary range information below is a good faith estimate for this position and actual compensation for any individual may fall outside this range if warranted by the circumstances applicable to that individual. If we identify a role that would be suitable for a broader range of skills and experience such that we would consider hiring at multiple levels then the range listed below may reflect that breadth.

The salary range estimate for this position is $175,000 - $220,000

The actual compensation will be at Octus' sole discretion and will be determined by the aforementioned and other relevant factors.

Robots & Pencils is seeking a seasoned AWS AI Solutions Architect to lead the design and delivery of complex, enterprise-grade generative and agentic AI systems built on Amazon Web Services. You will architect scalable, secure, and production-ready AI platforms leveraging Amazon Bedrock, Amazon Bedrock AgentCore, AWS Strands Agents, AWS AgentCore Gateway, Nova Forge, Nova 2 Sonic, and related AWS AI/ML services. 
 
As an AWS AI Solutions Architect, you will serve as a strategic technical advisor—translating ambiguity into structured AWS-native architectures, validating designs through hands-on prototyping, and ensuring every solution aligns with the AWS Well-Architected Framework (including ML Lens) while delivering measurable business value. 

Key Responsibilities 

Client Engagement & AWS Solutions Architecture 

• Serve as the primary AWS AI architecture partner for strategic clients, driving generative and agentic AI system design from discovery through production. 

• Lead architecture design using Amazon Bedrock (including foundation models and custom models), Bedrock AgentCore, AWS Strands Agents, and AWS AgentCore Gateway. 

• Design advanced RAG, Agentic RAG, and multi-agent orchestration architectures leveraging AWS-native services such as Lambda, Step Functions, API Gateway, DynamoDB, Aurora (pgvector), and OpenSearch. 

• Produce AWS reference architectures, architecture decision records (ADRs), and implementation roadmaps aligned to business objectives. 

• Validate feasibility through hands-on prototyping in Python using Bedrock SDKs, SageMaker, and serverless services. 

• Ensure architectures follow AWS security best practices (IAM, KMS, VPC, PrivateLink) and cost optimization principles. 

Outcome Ownership & Business Impact 

• Own architectural integrity from concept through production deployment on AWS. 

• Align solutions with AWS Well-Architected Framework pillars: Operational Excellence, Security, Reliability, Performance Efficiency, Cost Optimization, and Sustainability. 

• Guide clients through tradeoff decisions across model selection (Bedrock FMs vs custom SageMaker models), latency, cost, governance, and compliance. 
  Accelerate time-to-value through reusable AWS accelerators, Infrastructure as Code (CloudFormation/Terraform/CDK), and CI/CD automation. 

• Continuously evaluate emerging AWS AI capabilities (Nova Forge, Nova 2 Sonic, Bedrock updates, and new AgentCore capabilities). 

Engineering Leadership & Delivery Excellence 

• • Provide architectural oversight to Forward Deployed Engineers and AWS delivery teams. 

• Establish best practices for MLOps on AWS including model lifecycle management, monitoring, and observability using SageMaker, CloudWatch, CloudTrail, and AWS Config. 

• Define governance, responsible AI guardrails, Bedrock Guardrails configuration, and security controls for enterprise environments. 

• Mentor engineers on AWS AI service integration, distributed systems design, and secure multi-account strategies. 

• Make principled tradeoffs under constraints related to privacy, compliance (SOC2, HIPAA, GDPR), cost, and operational complexity. 

Cross-Functional Collaboration 

• Partner with internal product, engineering, research, and customer success teams to evolve AWS-based AI offerings. 

• Contribute AWS reference architectures and reusable infrastructure modules to internal accelerators. 

• Support pre-sales engagements including architecture workshops, AWS migration strategy, and solution scoping. 

• Collaborate across distributed teams and client stakeholders across North America. 

Required Skills & Qualifications 

• Bachelor’s degree in Computer Science, Engineering, or equivalent experience.
  • 7–10+ years of experience in software engineering or cloud architecture with deep AWS ownership. 
  • Deep expertise in Amazon Bedrock, Bedrock AgentCore, AWS Strands Agents, AgentCore Gateway, and related AWS AI services. 
  • Strong familiarity with SageMaker (training, deployment, pipelines), deep learning fundamentals, and model fine-tuning strategies. 
  • Experience architecting RAG, multi-agent, and orchestration systems using AWS-native services. 
  • Strong knowledge of distributed systems, event-driven architectures, and serverless patterns. 
  • Proficiency with Infrastructure as Code (AWS CDK, CloudFormation, Terraform). 
  • Hands-on development capability in Python and AWS SDKs. 
  • Experience implementing observability and monitoring strategies in AWS environments. 
  • Proven success leading enterprise-scale AWS transformations. 
  • Exceptional communication skills for both technical and executive audiences. 
  • AWS Professional Certifications highly preferred (AWS Solutions Architect – Professional, AWS DevOps Engineer – Professional). 

Nice to Have 

• AWS Specialty certifications (Machine Learning – Specialty, Security – Specialty).
  • Experience with advanced agentic reasoning patterns (ReAct,CoT, Tree-of-Thoughts) implemented on Bedrock. 
  • Experience building secure multi-account AWS organizations using Control Tower. 
  • Exposure to data engineering services such as Glue, Redshift, Lake Formation. 
  • Consulting or professional services background. 

Personal Competencies 

• Accountability – Owns AWS architectural direction and client outcomes with rigor.
  • Adaptability – Rapidly adopts new AWS AI releases and evolving generative AI capabilities.
  • Collaboration – Builds trust across engineering and executive stakeholders. 
  • Execution-Focused – Balances innovation with production-ready AWS delivery. 
  • Innovation-Minded – Experiments responsibly with emerging AWS AI services. 
  • Craftsmanship – Designs secure, scalable, and well-documented AWS systems. 
  • Leadership with Courage – Drives architectural alignment in complex environments. 
  • Comfort in Ambiguity – Translates unclear AI requirements into AWS-native solution architectures. 

Why Join Robots & Pencils? 

We build smart systems for a human world — blending creativity, engineering, and AWS-powered AI to help organizations reimagine how they work. As an AWS AI Solutions Architect, you will shape enterprise-scale generative and agentic AI platforms using the most advanced AWS services available. You will define architectures that deliver measurable business value, mentor teams, and directly influence the evolution of our AWS AI practice. 

As an Analytics Data Engineer within the Finance team, you will be a key player in shaping our data ecosystem. You will design, build, and maintain scalable data pipelines that transform raw data into a reliable and trustworthy source of truth for the Finance organization and beyond. 

You will be the primary liaison between the Finance and the Data Engineering teams. You will use your domain knowledge of finance to understand their data requirements, translate them into technical specifications, and then build the necessary data infrastructure. Your work will directly impact financial planning, forecasting, and strategic decision-making across the company.

You Are:

• A Data Expert: You have a deep understanding of data warehousing, ETL/ELT principles, and data modeling best practices. You can design and implement robust and scalable data pipelines.
• A Problem-Solver: You are passionate about using data to solve complex business problems. You can break down ambiguous requirements into clear, actionable data engineering tasks.
• Collaborative: You enjoy working with diverse teams and can effectively communicate complex technical concepts to both technical and non-technical stakeholders.
• Detail-Oriented: You have a high bar for data quality and integrity. You take pride in building accurate and reliable data products and you are comfortable owning full quality from end to end.
• Curious and AI-forward:  You are excited by the potential of LLMs, prompt engineering, and the rapidly changing world of AI tooling. You go beyond just using tools like Claude/Claude Code or Cursor—you've experimented with them and are keen to build and integrate entire systems around them.

You Will:

• Design, develop, and maintain robust data pipelines using Python and Apache Airflow to process large volumes of data from various sources (e.g., internal databases, third-party APIs, and external systems).
• Be the subject matter expert on our Redshift data warehouse, optimizing queries and tables, and ensuring data integrity.
• Build and maintain data models that provide a single source of truth for key business metrics and KPIs. 
• Co-develop and implement data quality checks and monitoring with finance business process owners to ensure the accuracy and reliability of our data.
• Document data pipelines, data models, and business logic to ensure maintainability and transparency. 
• Collaborate with Finance stakeholders to understand their data needs and translate them into scalable data solutions.
• Partner with Finance and Data teams to create the AI Business Context layer for financial applications, converting accounting principles, metric definitions, and business logic into structured, AI-interpretable formats.
• Build tools that provide natural language access to financial data, automated anomaly detection and AI-assisted reporting, enabling Finance stakeholders to independently discover insights.

You Have:

• A Bachelor's degree in Computer Science, Engineering, or a related quantitative field.
• 4+ years of experience in a data-focused role, with a strong emphasis on data engineering, business intelligence, or a similar analytics function.
• Proven experience in designing, building, and maintaining production-level data pipelines.
• Demonstrable experience working directly with finance or business operations teams to deliver data solutions.
• Expertise in SQL and experience with a modern data warehouse, preferably Redshift.
• Strong programming skills in Python.
• An interest in learning core financial modeling concepts to understand data use-cases 

Roblox is seeking a 3D Artist with expertise in Key Art, Composition, and Cinematic Character Posing/Animation to join The Kitchen, our internal creative studio. In this role, you’ll help bring Roblox’s worlds, characters, and stories to life through cinematic animation, expressive posing, and high-impact visuals. In this hands-on role, you will be responsible for creating both motion and still imagery, delivering polished 3D Key Art and expressive Cinematic Character Animation that defines how millions of players experience Roblox across campaigns, trailers, and social moments. This role requires an expert eye for composition, lighting, and rendering to produce high-end visuals that serve as the visual heartbeat of Roblox's marketing and brand experiences.

You Will:

• Rig, pose, and render characters for static compositions, delivering polished assets for posters, banners, thumbnails, and social campaigns.
• Animate characters, creatures, and props for cinematic sequences, gameplay trailers, and promotional content.
• Develop expressive performances that convey personality, emotion, and narrative beats.
• Build and stage environments that enhance composition and visual storytelling.
• Collaborate closely with designers, marketers, editors, motion designers, and producers to create striking imagery that communicates story, mood, and brand identity.
• Optimize assets for both high-resolution print and digital platforms.
• Iterate quickly based on feedback from creative leads, ensuring alignment with brand and project goals.
• Maintain efficient file structures and workflows for smooth handoff and versioning.

You Have:

• 5+ years of professional experience in 3D motion design, character animation, or video post-production.
• Strong understanding of character rigging, anatomy, and motion principles.
• Proven ability as a 3D character animator, with a demo reel showcasing expressive, polished animation.
• Portfolio of key art / posed renders demonstrating strong composition, lighting, and storytelling.
• Solid grasp of visual design fundamentals (composition, color, lighting, silhouette).
• Proficiency in industry-standard tools and workflows (e.g., Cinema4D, Maya, Blender, ZBrush, Substance, Redshift), including preparing assets to be shared across Digital Content Creation applications.
• Experience compositing or finishing renders in After Effects, Photoshop. etc.
• The ability to adapt quickly to feedback and iterate in a collaborative environment.
• Detail-oriented with a cinematic eye for storytelling.
• Strong communicator, comfortable presenting work and receiving critique.

Overview

Our backend systems power the clients used by millions of customers every year to buy their groceries online. These systems must also support tight integration with the largest retailers in the US and Canada. Engineering at Instacart provides the opportunity to work on challenging scaling problems while also designing the features that will define our industry. You will learn how to build in an open collaborative environment serving millions of requests daily.

Finance data engineering is part of the Data Infrastructure team, working closely with accounting, billing & revenue teams to support the monthly/quarterly book close, retailer invoicing and internal/external financial reporting. The team plays a critical role in defining how financial data is modeled and standardized for uniform, reliable, timely and accurate reporting. This is a high impact, high visibility role owning critical data integration pipelines and models across all of Instacart's products.

The team is still small and many of our bigger initiatives are at an early stage. We expect you to work closely with stakeholders and shape these systems from design, technical decisions, project management to execution. Your input will be critical for driving the Finance Data Strategy and building the platform that Instacart's financial data infrastructure will be built upon.

About the Job

• You will work closely with finance, accounting, billing, and revenue teams to understand their main pain points and translate them into self-serve, reliable, and scalable data solutions.
• You are expected to mentor other team members and be a champion of engineering excellence across the organization.
• You will be part of a small team with a large amount of ownership and autonomy, managing initiatives directly from design through execution.
• You will have the freedom to suggest and drive organization-wide initiatives that shape the financial data vision and roadmap.
• You will own critical data integration pipelines and models, ensuring uniform, reliable, timely, and accurate financial reporting.

About You

Minimum Qualifications

• 8+ years of working experience in a Data/Software Engineering role, with a focus on building data pipelines (specialized in financial data).
• Strong knowledge of cloud based warehouses like Snowflake, Redshift, BigQuery.
• Strong knowledge of common data infra technologies (Python, Airflow, Spark, Iceberg, Delta Lake) in a production environment.
• Expert in data modeling with experience in modeling complex financial data with scalability and usability in mind.
• Expert with SQL and dbt (Data Build Tool).
• Experience building high quality and complex ETL/ELT pipelines including pipelines for accounting/billing purposes.
• Experience with data immutability, auditability, slowly changing dimensions or similar concepts.
• Adept at fluently communicating with many cross-functional stakeholders to drive requirements and design shared datasets.
• An ability to balance a sense of urgency with shipping high quality and pragmatic solutions.
• Experience working with a large codebase on a cross functional team.

Preferred Qualifications

• Bachelor's degree in Computer Science, computer engineering, electrical engineering or equivalent work experience.
• Experience with Snowflake, dbt (Data Build Tool) and Airflow.
• Experience with SOX controlled data systems.

#LI-Remote

Overview

Our backend systems power the clients used by millions of customers every year to buy their groceries online. These systems must also support tight integration with the largest retailers in the US and Canada. Engineering at Instacart provides the opportunity to work on challenging scaling problems while also designing the features that will define our industry. You will learn how to build in an open collaborative environment serving millions of requests daily.

Finance data engineering is part of the Data Infrastructure team, working closely with accounting, billing & revenue teams to support the monthly/quarterly book close, retailer invoicing and internal/external financial reporting. The team plays a critical role in defining how financial data is modeled and standardized for uniform, reliable, timely and accurate reporting. This is a high impact, high visibility role owning critical data integration pipelines and models across all of Instacart's products.

The team is still small and many of our bigger initiatives are at an early stage. We expect you to work closely with stakeholders and shape these systems from design, technical decisions, project management to execution. Your input will be critical for driving the Finance Data Strategy and building the platform that Instacart's financial data infrastructure will be built upon.

About the Job

• You will work closely with finance, accounting, billing, and revenue teams to understand their main pain points and translate them into self-serve, reliable, and scalable data solutions.
• You are expected to mentor other team members and be a champion of engineering excellence across the organization.
• You will be part of a small team with a large amount of ownership and autonomy, managing initiatives directly from design through execution.
• You will have the freedom to suggest and drive organization-wide initiatives that shape the financial data vision and roadmap.
• You will own critical data integration pipelines and models, ensuring uniform, reliable, timely, and accurate financial reporting.

About You

Minimum Qualifications

• 8+ years of working experience in a Data/Software Engineering role, with a focus on building data pipelines (specialized in financial data).
• Strong knowledge of cloud based warehouses like Snowflake, Redshift, BigQuery.
• Strong knowledge of common data infra technologies (Python, Airflow, Spark, Iceberg, Delta Lake) in a production environment.
• Expert in data modeling with experience in modeling complex financial data with scalability and usability in mind.
• Expert with SQL and dbt (Data Build Tool).
• Experience building high quality and complex ETL/ELT pipelines including pipelines for accounting/billing purposes.
• Experience with data immutability, auditability, slowly changing dimensions or similar concepts.
• Adept at fluently communicating with many cross-functional stakeholders to drive requirements and design shared datasets.
• An ability to balance a sense of urgency with shipping high quality and pragmatic solutions.
• Experience working with a large codebase on a cross functional team.

Preferred Qualifications

• Bachelor's degree in Computer Science, computer engineering, electrical engineering or equivalent work experience.
• Experience with Snowflake, dbt (Data Build Tool) and Airflow.
• Experience with SOX controlled data systems.

#LI-Remote

OVERVIEW

The Inventory Data Analyst plays a crucial role in supporting initiatives aimed at continuous improvement in planning and inventory management.This role requires a good understanding of retail and retail math, some merchandise planning or allocation experience is required.This person will collaborate with cross-functional teams to automate existing Excel reports and working with their manager to identify additional opportunities for automation or process improvements.

RESPONSIBILITIES  

• Partner with Planning & Allocation, Buying, Finance, and Data Engineering teams to align analytics with business priorities.
• Build and maintain dashboards, automated reporting, and analytics solutions to democratize data across the organization.
• Translate complex datasets into actionable insights across sales, inventory and margin that drive growth, improve forecast accuracy, and enhance operational efficiency.
• Apply predictive modeling and statistical analysis to improve demand planning and inventory allocation decisions.
• Ensure data accuracy and consistency across systems through validation and quality checks.
• Establish and uphold best practices in analytics, reporting, and dashboard development, including maintainability and scalability standards.
• Communicate findings and recommendations to business stakeholders and senior leadership in a clear, impactful manner.

QUALIFICATIONS

• 2–4 years of experience in data analytics, preferably in high-growth e-commerce or digitally enabled retail environments, with proven ability to translate insights into business strategy.
• Bachelor’s degree in a quantitative field (Economics, Finance, Mathematics, Statistics, Engineering, etc.).
• Strong SQL skills with experience writing advanced queries (joins, aggregations, CTEs, conditional filters) in analytical data warehouses.
• Proficiency in Python or R for statistical analysis, data modeling, and automation.
• Experience with BI tools such as Tableau or ThoughtSpot; capable of building intuitive, scalable dashboards from scratch.
• Skilled in working with diverse, complex data sources (e.g., Amazon Redshift, Cyberquery, Anaplan, FDM4, Shopify).
• Excellent communication, prioritization, and problem-solving skills; able to thrive in ambiguous, fast-paced environments.

The base salary range for this position is $100,000-$115,000 per year which represents the current range for the base salary for this exempt position. Please note that actual salaries will vary based on factors including but not limited to location, experience, and performance. As such, on occasion and when applicable, there is the possibility that the final, agreed-upon base salary may be outside of the upper end of the range. Please also note the range listed is just one component of the company’s total rewards package for exempt employees. Other rewards may include performance bonuses, long term incentives, a PTO policy, and many other progressive benefits.

OVERVIEW

We are seeking a motivated and technically strong Computer Science Intern – Operations Data & Visibility to join our Biz Tech Operations team. This internship offers a unique opportunity to work on high-impact data and analytics initiatives that directly support our Distribution Technology organization, including distribution centers (DCs) and third-party logistics providers (3PLs). 

As an intern, you will help design and build data pipelines, analytical models, and reporting solutions that improve operational visibility across inventory, 4-wall activities, orders, shipments, and fulfillment performance. Your work will contribute to foundational capabilities accelerating ALO’s continued growth.

The ALO internship programs starts June 8th and ends July 31st. Interns will be working 40 hours a week at our Beverly Hills HQ.

RESPONSIBILITIES  

• Partner closely with Distribution Technology, Data Engineering, and Operations teams to define data-driven solutions that improve operational visibility across DCs and 3PLs
• Assist in the design and development of data pipelines and data models that integrate information from multiple enterprise systems, including: 
  • Progress databases 
  • Azure SQL databases 
  • Amazon Redshift 
  • Other 3rd party data sources 
• Support the creation of a centralized distribution data layer that enables consistent reporting and analytics across supply chain, inventory, order lifecycle, shipment status, and fulfillment performance
• Develop and maintain SQL queries, views, and transformations to support operational dashboards and KPI reporting
• Contribute to the development of ThoughtSpot dashboards and insights that allow business users to self-serve key distribution and logistics metrics
• Collaborate with Business Analysts and Business stakeholders to help define problem statements, document requirements, and translate business questions into analytical solutions
• Create and maintain technical documentation, including data flow diagrams, source-to-target mappings, and metric definitions
• Validate data accuracy and consistency across systems, assisting with reconciliation, anomaly detection, and data quality checks
• Work with internal and third-party development teams by reviewing requirements, clarifying technical questions, and providing feedback on delivered solutions
• Learn and apply best practices for data engineering, analytics engineering, and enterprise reporting in a real-world environment

QUALIFICATIONS

• Currently pursuing a degree in Computer Science, Data Science, Information Systems, or a related technical field
• Strong working knowledge of SQL and relational databases
• Experience with or exposure to data modeling, ETL/ELT concepts, and analytical workflows
• Familiarity with one or more programming or scripting languages such as Python, Java, or C# is a plus
• Interest in data analytics, business intelligence, and operational reporting
• Strong problem-solving skills and the ability to work with ambiguous requirements in a fast-paced environment
• Ability to communicate technical concepts clearly to both technical and non-technical stakeholders
• A passion for learning new technologies and applying them to real-world, business-critical challenges

NICE TO HAVE

• Exposure to cloud data platforms (AWS, Azure)
• Experience with BI tools such as ThoughtSpot, Tableau, or Power BI
• Coursework or projects involving supply chain, logistics, or operations analytics

The base pay range for this position is $45/hr-$50/hr which represents the current range for the non-exempt position. Please note that actual pay will vary based on factors including but not limited to location, experience, and performance.

OVERVIEW

We are seeking a motivated and technically strong Computer Science Intern – Product Information Management (PIM) to join our Biz Tech Operations team. This internship offers a unique opportunity to design and build a foundational Product Information Management (PIM) capability that will serve as a single, trusted source of product data across ALO’s technology ecosystem. 

Today, product information is distributed across multiple systems—including NGC PLM, FDM4 ERP, FDM4 WMS, Shopify, and spreadsheets—resulting in duplicated integrations, inconsistent data, and manual workarounds. As an intern, you will help design and implement a centralized PIM solution built on ALO’s data lake (Amazon Redshift) and supporting data pipelines, enabling all downstream systems, services, and teams to reliably source product data from a single platform. 

This work will create a scalable foundation that can be expanded over time with additional product attributes, governance, and automation to support ALO’s continued growth and tech environment expansion.

The ALO internship programs starts June 8th and ends July 31st. Interns will be working 40 hours a week at our Beverly Hills HQ.

RESPONSIBILITIES  

• Partner with Tech, Business, and downstream application teams to help define the vision, scope, and requirements for a centralized Product Information Management (PIM) solution
• Design and implement a foundational PIM data model that consolidates product data from multiple enterprise systems, including: 
  • PLM 
  • ERP
  • WMS
  • Shopify
  • Existing datasets in Amazon Redshift
• Build and enhance data pipelines into the data lake (Redshift) to ensure required product attributes are available, current, and reliable
• Develop SQL-based transformations and views that create canonical product records suitable for consumption by multiple systems and microservices
• Assist in defining data ownership, source-of-truth rules, and attribute-level lineage (e.g., which system owns which product attributes)
• Collaborate with Business Analysts and stakeholders to document product data requirements and translate business needs into technical solutions
• Create and maintain technical documentation, including: 
  • Product data models 
  • Source-to-target mappings 
  • Data flow diagrams 
  • Attribute definitions and dependencies 
• Support downstream consumption of PIM data by helping define access patterns (e.g., database views, exports, APIs, or service interfaces)
• Validate data quality and consistency across systems, identifying gaps, conflicts, and opportunities for standardization
• Learn and apply best practices for data modeling, data engineering, and platform design in a real-world enterprise environment

QUALIFICATIONS

• Currently pursuing a degree in Computer Science, Data Science, Information Systems, or a related technical field
• Strong working knowledge of SQL and relational databases
• Understanding of data modeling concepts, including entities, attributes, relationships, and normalization
• Experience with or exposure to ETL / ELT pipelines and data integration concepts
• Familiarity with one or more programming or scripting languages such as Python, Java, or C# is a plus
• Interest in enterprise systems, data platforms, and foundational architecture
• Strong problem-solving skills and comfort working with ambiguous and evolving requirements
• Ability to communicate technical concepts clearly to both technical and non-technical stakeholders 
• A strong desire to build systems that will be used and extended by others over time

NICE TO HAVE

• Exposure to Product Information Management (PIM), Master Data Management (MDM), or data governance concepts
• Familiarity with cloud data platforms (AWS, Azure)
• Experience integrating data from SaaS platforms (e.g., Shopify or PLM systems)
• Coursework or projects involving data architecture or enterprise systems

The base pay range for this position is $45/hr-$50/hr which represents the current range for the non-exempt position. Please note that actual pay will vary based on factors including but not limited to location, experience, and performance.

Position Overview 

We are seeking a Lead Data Engineer to serve as a senior individual contributor—equivalent to a Staff or Principal Data Engineer—with full ownership of analytics data architecture and engineering standards. This hands‑on technical leadership role is part of a high‑impact analytics team responsible for enabling data‑driven decision‑making across satellite network planning, capacity and demand forecasting, network operations, and performance analytics. 

The Lead Data Engineer will design, build, and operate scalable, production‑grade data pipelines and analytical infrastructure to ensure high‑quality; reliable data is consistently available across global planning and operational workflows. This role defines how operational, network, and business data is ingested, modeled, governed, and consumed—transforming complex, heterogeneous datasets into trusted, decision‑ready analytics assets. 

While this position does not include people management, it carries significant technical ownership and influence. The Lead Data Engineer drives architectural strategy, establishes engineering best practices, and mentors analytics professionals to elevate data engineering maturity across the organization. 

 Success in this role is measured by enabling fast, confident, and consistent data‑driven decision‑making—not platform uptime alone. The focus is on delivering durable analytics foundations that support insight, alignment, and execution at scale 

Key Responsibilities 

Data Architecture & Platform Ownership 

• Own the end‑to‑end analytics data architecture, including ingestion, modeling, governance, and consumption patterns. 

• Design, build, and maintain scalable, reliable data pipelines supporting forecasting, network planning, and operational analytics. 

• Establish and operate a lakehouse‑style architecture (raw → normalized → curated). 
• Integrate diverse, complex operational and telemetry data sources into unified analytical and semantic models. 

Analytics Enablement & Decision Systems 

• Translate ambiguous business needs into durable data products, including curated datasets, semantic layers, and standardized KPIs. 

• Define KPI frameworks with consistent definitions, calculations, and refresh logic across teams. 

• Enable self‑service analytics by delivering trusted, well‑documented, discoverable datasets for BI and advanced analytics. 

  Data Quality, Reliability & Governance 

• Implement automated validation, monitoring, and freshness checks across critical pipelines. 

• Identify and resolve systemic data issues proactively, ensuring uninterrupted operational insights. 

• Design schemas and pipelines with governance needs in mind, including lineage, auditability, and certification. 

  Technical Leadership & Standards 

• Serve as the technical authority for analytics engineering and own architectural decisions. 

• Establish and enforce engineering best practices, including testing, version control, documentation, and modular SQL/Python patterns. 

• Mentor analysts and engineers to raise the quality and reliability of data products. 

• Capture metadata and ownership for scalable governance and enterprise cataloging. 

  Qualifications 

Education 

• Bachelor’s degree in computer science, data engineering, information systems, or a related technical field required. 

• Master’s degree preferred but not required. 

  Experience 

• A minimum of 7–10 years of experience in data engineering, analytics engineering, or related fields. 

• Proven experience designing and operating production‑grade data systems at scale. 

  Preferred Qualifications 

• Experience in telecom, satellite networks, IoT, or other high‑volume telemetry data environments. 

• Familiarity with predictive analytics, forecasting workflows, or ML‑driven feature pipelines. 

• Hands‑on experience implementing data quality frameworks, metadata systems, or data lineage tooling. 

• Experience supporting enterprise analytics on a global scale. 

  Soft Skills 

• Strong interpersonal skills and ability to collaborate across cross‑functional teams. 

• Excellent written and verbal communication skills. 

• Strong problem‑solving, debugging, and prioritization abilities. 

• Ability to operate effectively in fast‑moving, ambiguous environments. 

• Meticulous attention to detail, ensuring accuracy across all documentation and data products. 

• Demonstrated ability to translate complex technical concepts for non‑technical stakeholders. 

  Technology Stack 

• SQL (advanced proficiency for analytics‑grade modeling and transformations) 

• Python (data processing, automation, pipeline development) 

• Cloud platforms such as AWS (preferred), Azure, or GCP 

• ETL/ELT tools such as Airflow, Prefect, or Azure Data Factory 

• Modern data ecosystems including Databricks, Snowflake, Redshift, or similar 

• BI and analytics tools such as Power BI, Tableau, or Looker 

• Version control (Git), CI/CD, and modern testing frameworks 

 Physical Requirements 

• Ability to work in a standard office environment and use a computer for extended periods. 
• Occasional virtual or in‑person collaboration across global teams. 

This job description may not be inclusive to the duties and responsibilities listed. Additional tasks may be assigned to the employee from time to time or the scope of the job may change as needed by business demands. 

Position Overview 

The Data Governance Manager ensures end‑to‑end governance of satellite network data by establishing and maintaining standards, lineage, controls, and data‑quality frameworks that support reliable analytics for BPMS, RAN planning, mobility modeling, and regulatory reporting. This role defines data policies, validates data integrity, manages catalogs and lineage, enforces compliance, and ensures datasets meet engineering and planning requirements for accurate forecasting and operational decision‑making. The position reports to the Director of Network Planning & Analytics. 

This role is responsible for ensuring the trustworthiness, consistency, and governance of all satellite‑network data used for planning, modeling, and regulatory submissions. The Data Governance Manager establishes governance standards, lineage practices, and quality controls that enable dependable analytics across BPMS, RAN planning, and mobility modeling. By enforcing data‑quality and compliance standards, the role underpins accurate forecasting, defensible regulatory reporting, and sound operational decisions at scale. 

Key Responsibilities 

Data Governance Framework & Policy Management 

• Establish data governance models, principles, and operating processes for satellite‑network datasets. 

• Define and enforce data policies, standards, classification rules, lifecycle guidelines, and governance controls. 

• Integrate governance requirements into planning workflows, data pipelines, and change management processes. 

Metadata, Lineage, Cataloging & Data Quality 

• Maintain data catalog, glossary, metadata repositories, and end‑to‑end lineage for critical planning and mobility datasets. 

• Ensure data discoverability, semantic consistency, and traceability across engineering and analytics systems. 

• Set data quality SLAs/SLOs, implement automated checks, and lead remediation for issues impacting planning accuracy or regulatory reporting. 

Compliance, Risk Management & Cross‑Functional Alignment 

• Ensure data compliance with regulatory reporting, internal governance, and audit requirements. 

• Maintain audit‑ready artifacts and evidence of lineage, access governance, and data controls. 

• Define stewardship roles, collaborate with planning, engineering, and analytics teams, and align data definitions with system‑level needs. 

Analytics Enablement, Change Control & Reporting 

• Certify trusted datasets for BPMS analytics, RAN planning, mobility modeling, and forecasting. 

• Govern schema changes, version control, and data lifecycle evolution across platforms. 

• Deliver dashboards and reporting on data quality, lineage completeness, control adherence, risks, and remediation status. 

Deliverables 

• Data governance charter and operating model; documented policies, standards, and control catalogs. 

• Enterprise data catalog with business glossary, certified data products, and end‑to‑end lineage maps. 

• Data quality framework with rules, SLAs/SLOs, scorecards, monitoring, and remediation workflows. 

• Stewardship model with ownership matrix (RACI), steward roster, and council meeting cadence notes. 

• Approved data models and definitions for BPMS, RAN planning, mobility modeling, and regulatory datasets. 

• Access governance artifacts (classification, RBAC/ABAC matrices), audit logs, and evidence packs. 

• Change management procedures covering schema/versioning, impact assessments, and rollback plans. 

• Quarterly governance dashboards (DQ trends, lineage completeness, incidents, SLA adherence). 

• Regulatory reporting data packs with traceable lineage, control evidence, and sign‑off records. 

• Deployment readiness “data certification” checklists for market activation and ongoing operations. 

Qualifications 

Education 

• Bachelor’s degree in Computer Science, Data/Information Systems, Engineering, or a related field. 

• Master’s degree (Data/Information Management, Analytics, or similar) is a plus. 

Experience 

• 5+ years in data governance, data management, or metadata/lineage/data quality leadership roles. 

• Experience governing analytics for telecom/satellite, networks, or other complex, regulated data environments. 

• Proven track record establishing policies/standards, implementing catalogs/lineage, and enforcing data quality controls. 

• Demonstrated cross‑functional leadership partnering with engineering, analytics, and regulatory stakeholders. 

Required Technical Expertise 

• Data governance frameworks and artifacts (policies, standards, stewardship, RACI, control catalogs). 

• Metadata/lineage management and data catalog administration (e.g., Microsoft Purview, Collibra, Alation, Apache Atlas, Unity Catalog). 

• Data quality frameworks and tooling (rule‑based and statistical checks; DQ SLAs, scorecards, monitoring, remediation). 

• Master & reference data management (MDM/RDM) and semantic modeling (conceptual/logical/physical). 

• Access governance (RBAC/ABAC), data classification, PII handling, encryption, and audit logging. 

• Cloud data platforms and pipelines (Azure/AWS; Databricks/Spark; Snowflake/Redshift; Synapse/Delta Lake). 

• Practical understanding of network/satellite data domains (telemetry, coverage/traffic KPIs, mobility events, spectrum/logs, cost/deployment data). 

Professional Skills 

• Structured, detail‑oriented problem solving with a strong documentation mindset. 

• Ability to translate regulatory and engineering requirements into clear data controls and standards. 

• Excellent stakeholder management and communication across technical and non‑technical audiences. 

• Change management leadership for data lifecycle governance and platform evolution. 

• Ability to prioritize in a fast‑paced environment and drive outcomes through influence. 

Technology Proficiency 

• SQL for profiling and validation; familiarity with Python/Spark for quality rules and data tests. 

• Experience with data catalogs, lineage tools, and DQ platforms; BI tools (Power BI/Tableau) for governance dashboards. 

• Working knowledge of CI/CD for data (versioning, release pipelines) and collaboration tools (Jira/Confluence). 

• Strong proficiency with Microsoft Office Suite (Excel, PowerPoint, Word); Windows/Linux environments. 

Physical Requirements 

• Ability to work in a standard office or lab environment and operate a computer for extended periods. 

• Occasional travel for cross‑functional workshops, audits, and market activation readiness reviews. 

This job description may not be inclusive to the duties and responsibilities listed. Additional tasks may be assigned to the employee from time to time or the scope of the job may change as needed by business demands. 

Summary 

Are you a hands-on data expert who thrives on building scalable pipelines, shaping modern data platforms, and turning raw data into business value?

As a Senior Data Engineer, you will architect and implement the foundational systems that power analytics, automation, and insight across the company. Working at the crossroads of data engineering, analytics, and business, you’ll lead the development of robust data pipelines, optimize workflows with tools like dbt, and drive best practices that scale with our growth. If you're passionate about solving tough data challenges, influencing architecture, and creating impact across teams, join us and help elevate how data is used company-wide because we are never finished learning, and are always seeking to improve.

Key Responsibilities 

• Data Pipeline Development & Ownership: Design, build, and maintain robust and scalable data pipelines from diverse sources including APIs, AWS native databases, and third-party systems with the focus on data quality, reliability, and performance.
• Data Orchestration & Modeling: Leverage expert-level experience with dbt and Snowflake to structure, transform, and organize data for improved accessibility and usage.
• Monitoring & Troubleshooting:  Implement and maintain comprehensive data monitoring and alerting processes to ensure pipeline reliability.
• Technical Mentorship: Collaborate with the team on technical design discussions and share best practices to support scalable, reliable, and well-structured data solutions.
• Cross-Functional Collaboration: Work closely with engineering, product, and analytics teams to deliver data solutions that drive business value and to communicate complex technical topics to a variety of audiences.
• Implementing Standards: Establish best-in-class processes, implement CI/CD for data pipelines, reproducible analytics, and rigorous code review, testing, and documentation standards.

Required Qualifications and Key Competencies

• 6+ years of experience in data engineering or related fields.
• Proficiency in SQL and at least one programming language (e.g., Python).
• Strong experience with cloud platforms, particularly AWS (RDS, Redshift, S3, Lambda, etc.), Snowflake, GCP.
• Hands-on experience with building and maintaining scalable ETL pipelines, monitoring data quality and debugging data workflows.
• Advanced-level proficiency with dbt and experience with data orchestration tools like Dagster or Airflow.
• Hands-on experience with data integration from APIs and CDC processes.
• Deep understanding of data modeling, warehousing concepts, and performance optimization.
• Excellent communication and collaboration skills, with the ability to bridge technical and non-technical teams.
• A proactive, ownership-driven mindset with a passion for solving complex data challenges.

Company Culture & Perks

• Topstep is an engaging working environment which ranges from fully remote to hybrid. We foster a culture of collaboration with cameras on during meetings and a robust Slack environment for communication. 
• Seven Company-paid Holidays and generous Family Leave. Paid time off is front-loaded. 
• Competitive 401(k) matching, health, dental, and vision insurance is offered for full time employees.
• Vacations are encouraged with a bonus for taking 5 consecutive days. Employee referrals are bonused. Topstep offers a food and groceries budget and contributes towards health and wellness.

New Hire Base Salary Range

• $155,000 - $180,000.
• Bonus: This position is eligible for a performance-based bonus as provided by the plan terms and governing documents.
• The compensation offered will take into account internal compensation structure and may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors.

Equal Opportunity Employer

Topstep is an Equal Opportunity Employer. We are committed to fostering an inclusive environment where all employees and applicants are valued. All qualified candidates will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, age, disability, or veteran status, in compliance with applicable federal, state, and local laws.

Interested in the role? Apply today with your resume!

Open position in RADaR office locations, including Kansas City, MO, Columbia, MO, and St. Louis, MO; Hybrid work schedule: 3 days in the office, 2 days working from home

Visa sponsorship is not available for this position, now or in the future. Applicants must be legally authorized to work in the United States on a permanent basis without requiring employer sponsorship.

About Us

We’re a data-driven company that specializes in building custom dashboards—primarily for marketing teams, but also for clients seeking operational insights. Our mission is to simplify complex data and empower our clients to make confident, strategic decisions. As a small, collaborative team, we value initiative, adaptability, and strategic thinking.

About the Role

The Client Manager - Marketing Analytics is a strategic partner to lead and grow larger clients that require strategic thinking and connection not only with the client but also with the full MTP agency team. In this role, you will also collaborate closely with the Senior Client Success Director to create efficiencies and translate technical data into compelling narratives, strategic insights, and actionable business recommendations. 

This position is perfect for someone with a strong media and marketing background who understands how to analyze and communicate data effectively. 

Essential Duties and Responsibilities (Other duties may be assigned)

• Build, strengthen, and maintain client relationships rooted in trust, transparency, and strategic partnership.
• Develop a clear understanding of each client's business, KPIs, and marketing strategy to guide meaningful conversations and measurement frameworks.
• Partner with a Data Analyst to ensure client deliverables are insightful, accurate, and aligned with business goals.
• Translate complex, technical analysis into digestible insights and stories that resonate with client stakeholders.
• Track and manage multiple ongoing client projects while ensuring all deadlines, budgets, and scopes are met. This includes being able to accurately track time and tasks using our Advantage agency software
• Contribute to project planning, data structure discussions, and storytelling strategy.
• Understand the basics of dashboard building, data pipelines, and visualization processes—enough to ask the right questions and guide client conversations.
• Proactively identify areas for client growth and optimization through data trends, market analysis, and performance insights.
• Stay current on marketing trends, measurement strategies, and client industry landscapes.
  
  

Skills & Experience That Will Help You Succeed

• Prior marketing and media experience is required. You must understand the purpose of various digital and traditional channels (Digital media including paid search, social, adio/video and email, billboards etc.) and how they fit together.
• Prior reporting/analytics experience is a strong plus. Ideal candidates may have worked as a marketing analyst, media strategist, or media insights specialist.
• Strong understanding of marketing KPIs, ROI, and measurement tactics.
• Experience presenting data-backed findings and making recommendations based on insights.
• Excellent verbal and written communication skills—you should be comfortable discussing technical findings with non-technical audiences.
• Highly organized and able to manage multiple projects, deadlines, and client personalities.
• Ability to exercise sound judgment and make decisions independently with minimal handholding.
• Familiarity with Google Workspace and Advantage software is helpful but not required.
• Must be collaborative, coachable, and adaptable. 
• Must be comfortable working with people from diverse backgrounds.

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 knowledge,  skill, and/or ability required. Reasonable accommodations may be made to enable  individuals with disabilities to perform the essential functions. 

• Prior experience with media platforms is a must. Examples include: Google Ads, Facebook, LinkedIn, The Trade Desk, Campaign Manager 360, Google Marketing Platform Products, Amazon Ads and Google Analytics. 
• Experience with visualization tools and analytics platforms are a plus. Examples include Tableau, Amazon Redshift, and Looker Studio.
• Experience with CRM tools such as Salesforce and Hubspot are a plus.
• One to three years experience in Digital Media Strategy, Analytics or related agency  experience. 
• Ability to solve practical problems and deal with a variety of concrete variables in  situations where only limited standardization exists. Ability to interpret a variety of  instructions furnished in written, oral, diagram, or schedule form. 
• Work Environment The work environment characteristics described here are  representative of those an employee encounters while performing the essential  functions of this job. Reasonable accommodations may be made to enable individuals  with disabilities to perform the essential functions.

Education

• Bachelor's degree from four-year college or university, degree or concentration in  advertising, marketing or communications preferred; or one to two years related  experience and/or training; or equivalent combination of education and experience.

Total Perks Package

• The chance to be a part of a growing company and the next success story
• Amazing opportunities for career development
• Recognition programs
• Employee referral bonus
• Hybrid work schedule; 3 days in the office, 2 days working from home
• Fun and collaborative work environment
• Casual dress code
• Insurance Coverage (medical, dental, vision, life, and disability)
• 401(k) retirement plan, with employer 4% match
• Work/life benefits, including mental health and wellbeing support
• Flexible Time Off Policy
• Paid holidays, including agency soft closing Christmas Eve-New Year's Day
• Paid leave options, including sick leave, medical leave for self and family, and parental leave

Open position in RADaR office locations, including Kansas City, MO, Columbia, MO, and St. Louis, MO; Hybrid work schedule: 3 days in the office, 2 days working from home

Visa sponsorship is not available for this position, now or in the future. Applicants must be legally authorized to work in the United States on a permanent basis without requiring employer sponsorship.

About Us

We’re a data-driven company that specializes in building custom dashboards—primarily for marketing teams, but also for clients seeking operational insights. Our mission is to simplify complex data and empower our clients to make confident, strategic decisions. As a small, collaborative team, we value initiative, adaptability, and strategic thinking.

About the Role

The Client Manager - Marketing Analytics is a strategic partner to lead and grow larger clients that require strategic thinking and connection not only with the client but also with the full MTP agency team. In this role, you will also collaborate closely with the Senior Client Success Director to create efficiencies and translate technical data into compelling narratives, strategic insights, and actionable business recommendations. 

This position is perfect for someone with a strong media and marketing background who understands how to analyze and communicate data effectively. 

Essential Duties and Responsibilities (Other duties may be assigned)

• Build, strengthen, and maintain client relationships rooted in trust, transparency, and strategic partnership.
• Develop a clear understanding of each client's business, KPIs, and marketing strategy to guide meaningful conversations and measurement frameworks.
• Partner with a Data Analyst to ensure client deliverables are insightful, accurate, and aligned with business goals.
• Translate complex, technical analysis into digestible insights and stories that resonate with client stakeholders.
• Track and manage multiple ongoing client projects while ensuring all deadlines, budgets, and scopes are met. This includes being able to accurately track time and tasks using our Advantage agency software
• Contribute to project planning, data structure discussions, and storytelling strategy.
• Understand the basics of dashboard building, data pipelines, and visualization processes—enough to ask the right questions and guide client conversations.
• Proactively identify areas for client growth and optimization through data trends, market analysis, and performance insights.
• Stay current on marketing trends, measurement strategies, and client industry landscapes.
  
  

Skills & Experience That Will Help You Succeed

• Prior marketing and media experience is required. You must understand the purpose of various digital and traditional channels (Digital media including paid search, social, adio/video and email, billboards etc.) and how they fit together.
• Prior reporting/analytics experience is a strong plus. Ideal candidates may have worked as a marketing analyst, media strategist, or media insights specialist.
• Strong understanding of marketing KPIs, ROI, and measurement tactics.
• Experience presenting data-backed findings and making recommendations based on insights.
• Excellent verbal and written communication skills—you should be comfortable discussing technical findings with non-technical audiences.
• Highly organized and able to manage multiple projects, deadlines, and client personalities.
• Ability to exercise sound judgment and make decisions independently with minimal handholding.
• Familiarity with Google Workspace and Advantage software is helpful but not required.
• Must be collaborative, coachable, and adaptable. 
• Must be comfortable working with people from diverse backgrounds.

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 knowledge,  skill, and/or ability required. Reasonable accommodations may be made to enable  individuals with disabilities to perform the essential functions. 

• Prior experience with media platforms is a must. Examples include: Google Ads, Facebook, LinkedIn, The Trade Desk, Campaign Manager 360, Google Marketing Platform Products, Amazon Ads and Google Analytics. 
• Experience with visualization tools and analytics platforms are a plus. Examples include Tableau, Amazon Redshift, and Looker Studio.
• Experience with CRM tools such as Salesforce and Hubspot are a plus.
• One to three years experience in Digital Media Strategy, Analytics or related agency  experience. 
• Ability to solve practical problems and deal with a variety of concrete variables in  situations where only limited standardization exists. Ability to interpret a variety of  instructions furnished in written, oral, diagram, or schedule form. 
• Work Environment The work environment characteristics described here are  representative of those an employee encounters while performing the essential  functions of this job. Reasonable accommodations may be made to enable individuals  with disabilities to perform the essential functions.

Education

• Bachelor's degree from four-year college or university, degree or concentration in  advertising, marketing or communications preferred; or one to two years related  experience and/or training; or equivalent combination of education and experience.

Total Perks Package

• The chance to be a part of a growing company and the next success story
• Amazing opportunities for career development
• Recognition programs
• Employee referral bonus
• Hybrid work schedule; 3 days in the office, 2 days working from home
• Fun and collaborative work environment
• Casual dress code
• Insurance Coverage (medical, dental, vision, life, and disability)
• 401(k) retirement plan, with employer 4% match
• Work/life benefits, including mental health and wellbeing support
• Flexible Time Off Policy
• Paid holidays, including agency soft closing Christmas Eve-New Year's Day
• Paid leave options, including sick leave, medical leave for self and family, and parental leave

Open position in RADaR office locations, including Kansas City, MO, Columbia, MO, and St. Louis, MO; Hybrid work schedule: 3 days in the office, 2 days working from home

Visa sponsorship is not available for this position, now or in the future. Applicants must be legally authorized to work in the United States on a permanent basis without requiring employer sponsorship.

About Us

We’re a data-driven company that specializes in building custom dashboards—primarily for marketing teams, but also for clients seeking operational insights. Our mission is to simplify complex data and empower our clients to make confident, strategic decisions. As a small, collaborative team, we value initiative, adaptability, and strategic thinking.

About the Role

The Client Manager - Marketing Analytics is a strategic partner to lead and grow larger clients that require strategic thinking and connection not only with the client but also with the full MTP agency team. In this role, you will also collaborate closely with the Senior Client Success Director to create efficiencies and translate technical data into compelling narratives, strategic insights, and actionable business recommendations. 

This position is perfect for someone with a strong media and marketing background who understands how to analyze and communicate data effectively. 

Essential Duties and Responsibilities (Other duties may be assigned)

• Build, strengthen, and maintain client relationships rooted in trust, transparency, and strategic partnership.
• Develop a clear understanding of each client's business, KPIs, and marketing strategy to guide meaningful conversations and measurement frameworks.
• Partner with a Data Analyst to ensure client deliverables are insightful, accurate, and aligned with business goals.
• Translate complex, technical analysis into digestible insights and stories that resonate with client stakeholders.
• Track and manage multiple ongoing client projects while ensuring all deadlines, budgets, and scopes are met. This includes being able to accurately track time and tasks using our Advantage agency software
• Contribute to project planning, data structure discussions, and storytelling strategy.
• Understand the basics of dashboard building, data pipelines, and visualization processes—enough to ask the right questions and guide client conversations.
• Proactively identify areas for client growth and optimization through data trends, market analysis, and performance insights.
• Stay current on marketing trends, measurement strategies, and client industry landscapes.
  
  

Skills & Experience That Will Help You Succeed

• Prior marketing and media experience is required. You must understand the purpose of various digital and traditional channels (Digital media including paid search, social, adio/video and email, billboards etc.) and how they fit together.
• Prior reporting/analytics experience is a strong plus. Ideal candidates may have worked as a marketing analyst, media strategist, or media insights specialist.
• Strong understanding of marketing KPIs, ROI, and measurement tactics.
• Experience presenting data-backed findings and making recommendations based on insights.
• Excellent verbal and written communication skills—you should be comfortable discussing technical findings with non-technical audiences.
• Highly organized and able to manage multiple projects, deadlines, and client personalities.
• Ability to exercise sound judgment and make decisions independently with minimal handholding.
• Familiarity with Google Workspace and Advantage software is helpful but not required.
• Must be collaborative, coachable, and adaptable. 
• Must be comfortable working with people from diverse backgrounds.

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 knowledge,  skill, and/or ability required. Reasonable accommodations may be made to enable  individuals with disabilities to perform the essential functions. 

• Prior experience with media platforms is a must. Examples include: Google Ads, Facebook, LinkedIn, The Trade Desk, Campaign Manager 360, Google Marketing Platform Products, Amazon Ads and Google Analytics. 
• Experience with visualization tools and analytics platforms are a plus. Examples include Tableau, Amazon Redshift, and Looker Studio.
• Experience with CRM tools such as Salesforce and Hubspot are a plus.
• One to three years experience in Digital Media Strategy, Analytics or related agency  experience. 
• Ability to solve practical problems and deal with a variety of concrete variables in  situations where only limited standardization exists. Ability to interpret a variety of  instructions furnished in written, oral, diagram, or schedule form. 
• Work Environment The work environment characteristics described here are  representative of those an employee encounters while performing the essential  functions of this job. Reasonable accommodations may be made to enable individuals  with disabilities to perform the essential functions.

Education

• Bachelor's degree from four-year college or university, degree or concentration in  advertising, marketing or communications preferred; or one to two years related  experience and/or training; or equivalent combination of education and experience.

Total Perks Package

• The chance to be a part of a growing company and the next success story
• Amazing opportunities for career development
• Recognition programs
• Employee referral bonus
• Hybrid work schedule; 3 days in the office, 2 days working from home
• Fun and collaborative work environment
• Casual dress code
• Insurance Coverage (medical, dental, vision, life, and disability)
• 401(k) retirement plan, with employer 4% match
• Work/life benefits, including mental health and wellbeing support
• Flexible Time Off Policy
• Paid holidays, including agency soft closing Christmas Eve-New Year's Day
• Paid leave options, including sick leave, medical leave for self and family, and parental leave

ABOUT THE TEAM

The Analytics team is responsible for modeling our internal data into reusable entities that generalize how Anduril operates. From those entities we build workflows, dashboards, and metrics that drive better and faster decision-making. You will work with stakeholders from across the company to understand how Anduril functions and model our data to create the digital twin of our operations. The Analytics space is engrained in our team’s DNA, as we regularly discuss shifts in the industry and keep up with the top relevant blogs. If this culture and Anduril’s mission speaks to you, you’ve found the right place.

ABOUT THE JOB

We’re looking for people who love ontologies - defining domains and writing the code that puts those models into action. Ideally you are passionate about the next generation of defense technology and love building efficient and understandable data models. You prioritize velocity and are interested in pushing the frontiers of what analytics can do within an organization - think data applications rather than just dashboards.

WHAT YOU'LL DO

• Lead the building of Anduril’s ontology for a specific domain such as Finance, Supply Chain, Manufacturing, People, and Sustainment
• Collaborate with stakeholders, collecting requirements, and writing the code that results in Secure, Timely, Accurate, Trusted, and Extensible Data Models
• Seek out problems that can be solved with data and proactively work with the organization to make it a reality
• Become a trusted resource for Anduril leadership in helping them run their organizations more effectively
• Lead the design and roadmap for our data platform
• Partner with operations, product, and engineering to advocate best practices and build supporting systems and infrastructure for the various data needs
• Own the ingest and egress frameworks for data pipelines that stitch together various data sources in order to produce valuable data products that drive the business
• Palantir Foundry is our central hub for data driven applications, visualizations and large scale data analysis across the Anduril org. We manage a large user base and provide true data self service at scale.
• We use SQLMesh for data transformations, giving our engineers the ability to work with SQL while enjoying software engineering best practices like version control, testing, and CI/CD for data pipelines.
• For querying data, we utilize Athena, an aws serverless solution that allows our team to run analytics directly on our data lake without managing infrastructure.
• We've implemented Apache Iceberg as our table format, providing advanced data management capabilities like schema evolution and time travel queries.
• We use Flyte for orchestration. It is a highly scalable, kubernetes native modern orchestration platform similar to Airflow or Dagster.

REQUIRED QUALIFICATIONS

• 5+ years of experience in an analytics focused role - Analytics Engineer, Data Engineer or Analyst / Consultant with a strong engineering background
• Demonstrated experience with autonomy and process ownership
• Experience with data stack tools: dbt, Redshift, Looker/Tableau, Palantir Foundry
• Expert with SQL and experience with Python or other programming languages
• Ability to build world-class data models in a fast, start-up environment
• Demonstrated aptitude for strategic partnerships and communication with non-technical Stakeholders
• Eligible to obtain and maintain an active U.S. Secret security clearance

ABOUT THE JOB

The Planning organization plays a critical role in driving operational outcomes by translating demand insights into precise production and procurement signals. Within this group, the Systems & Process team partners closely with Anduril’s Analytics team to build scalable workflows, ontologies, and data models that power planning excellence. We’re responsible for developing the digital twin of our operations—capturing demand, supply, manufacturing, and sustainment data in ways that drive real-time decision-making.

We’re looking for a Planning Analyst who thrives at the intersection of digital and the physical hardware world. You’ll design and implement data models, workflows, and analytical tools that directly improve operational performance—enabling Anduril to plan more effectively at scale.

WHAT YOU’LL DO

• Partner with Planning leadership and Anduril’s Analytics team to build secure, timely, and extensible ontologies for domains such as Supply Chain, Manufacturing, and Finance.
• Develop reporting and data applications that provide near real-time visibility into planning KPIs, including forecast accuracy, fill rates, and inventory turns.
• Conduct ad-hoc analyses on demand signals, inventory strategies, and supply risk, delivering insights that balance service levels with profitability.
• Run scenario planning and sensitivity analyses to evaluate the impact of market or contract volatility on operational outcomes.
• Collaborate with Analytics engineers to generalize planning workflows and data products across Anduril’s production and sustainment organizations.
• Act as a subject matter expert for planning tools and systems, supporting upgrades, enhancements, and best practice adoption.
• Become a trusted resource for leadership by helping them run their organizations more effectively through data-driven insights.

REQUIRED QUALIFICATIONS

• 3+ years of experience in an analytics-focused role (Analytics Engineer, Data Engineer, or Analyst/Consultant with strong supply chain or operations background).
• You have strong operational instincts and a track record of owning complex, ambiguous planning problems from start to finish.
• You think strategically and execute tactically—you’re just as comfortable designing a planning framework as you are diving into the details of a late supplier PO.
• You bring a data-driven mindset and can turn analytics into action; you know how to interpret demand signals, build plans, and communicate clearly.
• You’re systems fluent, with experience working across ERP platforms (e.g., NetSuite, SAP, Oracle), and can partner effectively with technical teams to improve tooling.
• You lead with cross-functional empathy—understanding the needs of engineering, product, deployment, and finance to align priorities and deliver business outcomes.
• You’re comfortable with ambiguity and energized by building structure in environments that are scaling fast.
• You are high ownership, low ego, and value results over credit.
• You anticipate friction before it happens and proactively work to prevent issues rather than react to them.
• Demonstrated experience building and owning processes and ontologies in a fast-paced environment.
• Expert-level SQL skills and proficiency in Python (or other programming languages).
• Experience with BI and analytics tools (Looker, Tableau, Power BI, Palantir Foundry, dbt, Redshift, etc.).
• Strong ability to translate technical models into actionable insights for non-technical stakeholders.
• Self-starter mindset—you prioritize velocity and impact, delivering solutions that drive immediate value.
• Eligible to obtain and maintain an active U.S. Secret security clearance.

ABOUT THE TEAM

The Analytics team is responsible for modeling our internal data into reusable entities that generalize how Anduril operates. From those entities we build workflows, dashboards, and metrics that drive better and faster decision-making. You will work with stakeholders from across the company to understand how Anduril functions and model our data to create the digital twin of our operations. The Analytics space is engrained in our team’s DNA, as we regularly discuss shifts in the industry and keep up with the top relevant blogs. If this culture and Anduril’s mission speaks to you, you’ve found the right place.

ABOUT THE JOB

We're looking for people who love delivering value with data - defining ontologies and writing the code that puts them into action. You prioritize velocity and are interested in pushing the frontiers of what analytics can do within an organization - think data applications rather than just dashboards. As a Staff Engineer, you should be a player-coach; your role is to set an example for your team and define what great looks like while also being their advocate & mentor. Your leadership should take a high performing team on towards the next level.

WHAT YOU'LL DO

• There is no such thing as a pure manager at Anduril - you'll demonstrate your ability to be both an IC and a people manager.
• Become the Trusted Partner for end to end date flows - your job doesn't end at the boundary of the data warehouse but instead in the business outcome.
• Become an expert in the domain areas of your direct reports and provide them guidance, mentorship, and support.
• Lead the building of Anduril’s ontology for a specific domain such as Finance, Supply Chain, Manufacturing, People, and Sustainment
• Collaborate with stakeholders, collecting requirements, and writing the code that results in Secure, Timely, Accurate, Trusted, and Extensible Data Models
• Seek out problems that can be solved with data and proactively work with the organization to make it a reality
• Become a trusted resource for Anduril leadership in helping them run their organizations more effectively
• Palantir Foundry is our central hub for data driven applications, visualizations and large scale data analysis across the Anduril org. We manage a large user base and provide true data self service at scale.
• We use SQLMesh for data transformations, giving our engineers the ability to work with SQL while enjoying software engineering best practices like version control, testing, and CI/CD for data pipelines.
• For querying data, we utilize Athena, an aws serverless solution that allows our team to run analytics directly on our data lake without managing infrastructure.
• We've implemented Apache Iceberg as our table format, providing advanced data management capabilities like schema evolution and time travel queries.
• We use Flyte for orchestration. It is a highly scalable, kubernetes native modern orchestration platform similar to Airflow or Dagster.

REQUIRED QUALIFICATIONS

• 6+ years of experience in the analytics ecosystem - Analytics Engineer, Data Engineer or Analyst / Consultant with a strong engineering background
• 2+ years in a Lead role, demonstrating autonomy and process ownership
• Experience managing a team in a dynamic environment with shifting priorities.
• Track record of leading cross-functional technical initiatives with measurable business impact
• Experience working with sensitive data and maintaining security protocols
• Experience with data stack tools: dbt, Redshift, Looker/Tableau, Palantir Foundry
• Ability to build world-class data models in a fast, start-up environment
• Demonstrated aptitude for strategic partnerships and communication with non-technical Stakeholders
• Eligible to obtain and maintain an active U.S. Secret security clearance

ABOUT THE TEAM

The goal of Anduril’s Air Dominance and Strike Division is to fundamentally reshape the way future peer to peer conflicts are fought by developing next generation Collaborative Combat Aircraft (Fury), missiles such as RoadRunner and Barracuda, and the Mission Autonomy software that is the brain of these products.

We’re in a race to build these products at scale. We need resilience in our supply chain, accelerate our ramp to production, iterate on design and quality through our test program, and ensure we’re maximizing operational effectiveness in the field. The operations that support and accelerate the product. The AD&S Operations team is a small but mighty team of business builder-operators who enable the division to scale through hyper-growth while breaking as few things as possible.

ABOUT THE JOB

We’re looking for ambitious, strategic engineers that want to build to accelerate every step of the way. We’re building an end-to-end ecosystem of first-class, operational software solutions that leverages data and AI to build and operate our products rapidly, at scale.

Example projects include

• Develop our test data infrastructure in collaboration with our Flight Test and Engineering teams to ensure our products get in the hands of engineers across a variety of system configurations and deployed environments
• Partner with our Field Operations teams to architect and build a fleet management system that monitors the operational performance and reliability of our aircraft in the field, enabling us to achieve maximal uptime of our products
• Collaborate with the production team to design and implement tools and metrics that allow us to scale production of our products from 1s to 1000s and enable rapid introduction of new products into the manufacturing line

What you’ll do

• Embed with various engineers to understand their workflows and locate their critical problems and bottlenecks
• Identify, structure and leverage various data systems that enables us to build tailored data-driven solutions
• Develop operational apps in a scrappy but effective way, work closely with users to iterate and support outcomes
• Build systems and infrastructure that allows applications to mature, roll out and scale in the field
• Work closely with Anduril’s corporate Analytics team to expand our ontologies and generalize our data and workflow applications across the entire company

Who you are

• 2+ years work experience in technical operating roles, working on user-facing processes and applications
• Engineering fundamentals - Computer Science, Engineering, Physics or similar background
• You’re deeply intellectually interested in the intersection of analytics and the real, physical, atoms-based, hardware world and are motivated by Anduril’s mission
• You’re energized by business impact & a self-starter: you’d rather build an imperfect solution quickly that is used by many people than a perfect solution that collects dust
• Coding experience - used python, SQL, react, typescript or equivalent
• Data system exposure: dbt, Redshift, Looker/Tableau, Palantir Foundry
• Eligible to obtain and maintain an active U.S. Top Secret security clearance

ABOUT THE TEAM

Anduril Maritime delivers platforms, systems, and integrated effects in the maritime domain. Our autonomous vehicles (sub-surface and surface) are the cornerstone of these capabilities, and we continually strive to push the boundaries of the possible in terms of endurance, autonomy and mission capability. The Maritime team develops and maintains core products and payloads, and adapts and applies those products to serve a wide variety of defense, IC and commercial customers in US and international markets.

ABOUT THE JOB

As a Software Engineer, Data Engineering on the Maritime Digital Production team, you will build the high-throughput data systems that connect design, manufacturing, and operations into a unified digital thread. You’ll design and implement scalable data architectures that move and transform massive datasets efficiently, supporting everything from geometry access to live production analytics.

In this role, you’ll develop high-performance data access layers and scalable databases, integrate information from systems such as PLM, ERP, and MES, and ensure seamless, reliable data flow across the enterprise. You’ll continuously monitor and optimize performance to meet the demands of real-time, high-speed data operations, and maintain strong documentation to keep the system transparent and auditable.

You’ll work closely with software engineers, data scientists, and manufacturing technologists across Anduril in a high-tech, fast-paced culture of innovation. If you’re driven to build data systems that are fast, resilient, and deeply connected to real-world production, you’ll be helping build the future of digital shipbuilding and the next generation of maritime vehicles.

WHAT YOU'LL DO

• Design and Implement Data Access Layers: Develop high-performance data access layers to handle massive datasets, ensuring quick and efficient data retrieval and processing.
• Database Design and Management: Design, implement, and maintain scalable databases suitable for high-speed, high-throughput data operations.
• Data Integration: Integrate data from various business systems including PLM, ERP, and MES, ensuring seamless and efficient data flow.
• Performance Optimization: Monitor and optimize the performance of data access layers and databases to meet the demands of large-scale, real-time data processing.
• Collaborate with Cross-Functional Teams: Work closely with software engineers, data scientists, and other stakeholders to ensure the data architecture supports various applications and analytical needs.
• Maintain Documentation: Write and maintain comprehensive documentation for data access layers, databases, and data integration processes.

REQUIRED QUALIFICATIONS

• Proficiency in database management systems (e.g., SQL, NoSQL databases like MongoDB, Cassandra).
• Experience with data warehousing solutions (e.g., Amazon Redshift, Google BigQuery).
• Strong understanding of data architecture principles and best practices.
• Proficiency in programming languages used for data engineering (e.g., Python, Java, Scala).
• Experience with big data technologies (e.g., Hadoop, Spark).
• Familiarity with cloud platforms and services (e.g., AWS, Azure, GCP).
• Strong problem-solving skills and ability to handle large volumes of data.
• Excellent collaboration and communication abilities.
• Eligible to obtain and maintain an active U.S. Secret security clearance.

PREFERRED QUALIFICATIONS

• Previous experience in a manufacturing or industrial setting.
• Experience with real-time data processing and stream processing technologies (e.g., Kafka, Flink).
• Knowledge of data governance and data quality management practices.
• Familiarity with containerization (Docker) and orchestration (Kubernetes).

ABOUT THE TEAM

The goal of Anduril’s Air Dominance and Strike Division is to fundamentally reshape the way future peer to peer conflicts are fought by developing next generation Collaborative Combat Aircraft (Fury), missiles such as RoadRunner and Barracuda, and the Mission Autonomy software that is the brain of these products.

We’re in a race to build these products at scale. We need resilience in our supply chain, accelerate our ramp to production, iterate on design and quality through our test program, and ensure we’re maximizing operational effectiveness in the field. The operations that support and accelerate the product. The AD&S Operations team is a small but mighty team of business builder-operators who enable the division to scale through hyper-growth while breaking as few things as possible.

ABOUT THE JOB

 We’re looking for ambitious, strategic engineers that want to build to accelerate every step of the way. We’re building an end-to-end ecosystem of first-class, operational software solutions that leverages data and AI to build and operate our products rapidly, at scale.

Example projects include

• Develop our test data infrastructure in collaboration with our Flight Test and Engineering teams to ensure our products get in the hands of engineers across a variety of system configurations and deployed environments
• Partner with our Field Operations teams to architect and build a fleet management system that monitors the operational performance and reliability of our aircraft in the field, enabling us to achieve maximal uptime of our products
• Collaborate with the production team to design and implement tools and metrics that allow us to scale production of our products from 1s to 1000s and enable rapid introduction of new products into the manufacturing line

What you’ll do

• Embed with various engineers to understand their workflows and locate their critical problems and bottlenecks
• Identify, structure and leverage various data systems that enables us to build tailored data-driven solutions
• Develop operational apps in a scrappy but effective way, work closely with users to iterate and support outcomes
• Build systems and infrastructure that allows applications to mature, roll out and scale in the field
• Work closely with Anduril’s corporate Analytics team to expand our ontologies and generalize our data and workflow applications across the entire company

Who you are

• 2+ years work experience in technical operating roles, working on user-facing processes and applications
• Engineering fundamentals - Computer Science, Engineering, Physics or similar background
• You’re deeply intellectually interested in the intersection of analytics and the real, physical, atoms-based, hardware world and are motivated by Anduril’s mission
• You’re energized by business impact & a self-starter: you’d rather build an imperfect solution quickly that is used by many people than a perfect solution that collects dust
• Coding experience - used python, SQL, react, typescript or equivalent
• Data system exposure: dbt, Redshift, Looker/Tableau, Palantir Foundry
• Eligible to obtain and maintain an active U.S. Top Secret security clearance

ABOUT THE TEAM

The goal of Anduril’s Air Dominance and Strike Division is to fundamentally reshape the way future peer to peer conflicts are fought by developing next generation Collaborative Combat Aircraft (Fury), missiles such as RoadRunner and Barracuda, and the Mission Autonomy software that is the brain of these products.

We’re in a race to build these products at scale. We need resilience in our supply chain, accelerate our ramp to production, iterate on design and quality through our test program, and ensure we’re maximizing operational effectiveness in the field. The operations that support and accelerate the product. The AD&S Operations team is a small but mighty team of business builder-operators who enable the division to scale through hyper-growth while breaking as few things as possible.

ABOUT THE JOB

 We’re looking for ambitious, strategic engineers that want to build to accelerate every step of the way. We’re building an end-to-end ecosystem of first-class, operational software solutions that leverages data and AI to build and operate our products rapidly, at scale.

Example projects include

• Develop our test data infrastructure in collaboration with our Flight Test and Engineering teams to ensure our products get in the hands of engineers across a variety of system configurations and deployed environments
• Partner with our Field Operations teams to architect and build a fleet management system that monitors the operational performance and reliability of our aircraft in the field, enabling us to achieve maximal uptime of our products
• Collaborate with the production team to design and implement tools and metrics that allow us to scale production of our products from 1s to 1000s and enable rapid introduction of new products into the manufacturing line

What you’ll do

• Set project impact, prioritization and timelines
• Build and grow a team of engineers, lead by example, as we grow and scale our business and field operations
• Partner with senior leaders to bring structure, insight, and velocity to Anduril’s highest-priority operational challenges
• Embed with various engineers to understand their workflows and locate their critical problems and bottlenecks
• Identify, structure and leverage various data systems that enables us to build tailored data-driven solutions
• Develop operational apps in a scrappy but effective way, work closely with users to iterate and support outcomes
• Build systems and infrastructure that allows applications to mature, roll out and scale in the field
• Work closely with Anduril’s corporate Analytics team to expand our ontologies and generalize our data and workflow applications across the entire company

Who you are

• 5+ years experience in technical operating roles
• Proof of delivery - you owned a project end-to-end from ambiguity to delivered, scaleable outcome
• Leader - You’re skilled in leading through influence and diving into the details yourself but also have experience in building high-performing teams
• Strong communicator - Demonstrated aptitude for strategic partnerships and communication with (non-)technical Stakeholders
• Engineering fundamentals - Computer Science, Engineering, Physics or similar background
• You’re deeply intellectually interested in the intersection of analytics and the real, physical, atoms-based, hardware world and are motivated by Anduril’s mission
• You’re energized by business impact & a self-starter: you’d rather build an imperfect solution quickly that is used by many people than a perfect solution that collects dust
• Coding experience - used python, SQL, react, typescript or equivalent
• Data system exposure: dbt, Redshift, Looker/Tableau, Palantir Foundry
• Eligible to obtain and maintain an active U.S. Top Secret security clearance

ABOUT THE TEAM

The goal of Anduril’s Air Dominance and Strike Division is to fundamentally reshape the way future peer to peer conflicts are fought by developing next generation Collaborative Combat Aircraft (Fury), missiles such as RoadRunner and Barracuda, and the Mission Autonomy software that is the brain of these products.

We’re in a race to build these products at scale. We need resilience in our supply chain, accelerate our ramp to production, iterate on design and quality through our test program, and ensure we’re maximizing operational effectiveness in the field. The operations that support and accelerate the product. The AD&S Operations team is a small but mighty team of business builder-operators who enable the division to scale through hyper-growth while breaking as few things as possible.

ABOUT THE JOB

 We’re looking for ambitious, strategic engineers that want to build to accelerate every step of the way. We’re building an end-to-end ecosystem of first-class, operational software solutions that leverages data and AI to build and operate our products rapidly, at scale.

Example projects include

• Develop our test data infrastructure in collaboration with our Flight Test and Engineering teams to ensure our products get in the hands of engineers across a variety of system configurations and deployed environments
• Partner with our Field Operations teams to architect and build a fleet management system that monitors the operational performance and reliability of our aircraft in the field, enabling us to achieve maximal uptime of our products
• Collaborate with the production team to design and implement tools and metrics that allow us to scale production of our products from 1s to 1000s and enable rapid introduction of new products into the manufacturing line

What you’ll do

• Set project impact, prioritization and timelines
• Build and grow a team of engineers, lead by example, as we grow and scale our business and field operations
• Partner with senior leaders to bring structure, insight, and velocity to Anduril’s highest-priority operational challenges
• Embed with various engineers to understand their workflows and locate their critical problems and bottlenecks
• Identify, structure and leverage various data systems that enables us to build tailored data-driven solutions
• Develop operational apps in a scrappy but effective way, work closely with users to iterate and support outcomes
• Build systems and infrastructure that allows applications to mature, roll out and scale in the field
• Work closely with Anduril’s corporate Analytics team to expand our ontologies and generalize our data and workflow applications across the entire company

Who you are

• 5+ years experience in technical operating roles
• Proof of delivery - you owned a project end-to-end from ambiguity to delivered, scaleable outcome
• Leader - You’re skilled in leading through influence and diving into the details yourself but also have experience in building high-performing teams
• Strong communicator - Demonstrated aptitude for strategic partnerships and communication with (non-)technical Stakeholders
• Engineering fundamentals - Computer Science, Engineering, Physics or similar background
• You’re deeply intellectually interested in the intersection of analytics and the real, physical, atoms-based, hardware world and are motivated by Anduril’s mission
• You’re energized by business impact & a self-starter: you’d rather build an imperfect solution quickly that is used by many people than a perfect solution that collects dust
• Coding experience - used python, SQL, react, typescript or equivalent
• Data system exposure: dbt, Redshift, Looker/Tableau, Palantir Foundry
• Eligible to obtain and maintain an active U.S. Top Secret security clearance

About the Role

The Revenue Operations team at Gusto is a full-stack team responsible for data, analytics, and operational excellence in pursuit of scaling our revenue growth. The Go-To-Market Analytics team is one functional area, responsible for defining and owning the metrics for scaling our Sales teams. 

Gusto is looking for a Revenue Analytics Engineer to build and maintain foundational data infrastructure that is crucial to growing and scaling our Sales efforts. In this role, you will partner with our GTM analysts to scope and deliver data products for an audience ranging from company and revenue leadership to operational and frontline sales. In doing so, you will own significant portions of our sales data from end-to-end, focusing on the transformation, design, and visualization workflows. In addition, you will establish best practices for systems design and workflows to maximize usefulness of AI at scale. 

This role will report to the Head of Go-To-Market analytics, and partner closely with Data Science, Data Platform, and Business Technology teams. 

Here’s what you’ll do day-to-day:

• Establish relationships with internal stakeholders to determine business needs, scoping and delivering solutions through data products
• Design, build, and maintain data pipelines and dashboards to automate “keep the lights on” work out of manually-managed processes
• Build a data foundation by incorporating business logic into raw data tables, laying the groundwork to enable value-add insights
• Create a dynamic reporting environment based on stakeholder needs
• Identify data discrepancies and set best practices for data logic to create a clean and well-documented environment
• Collaborate with broader data organization as steward to the definition and process management of core Gusto metrics

Here’s what we're looking for:

• Education or work experience in Engineering or Computer Science, or a related technical field 
• 7+ years of experience in an analytics engineering, business intelligence, or technical data analytics role
• Experience with SQL and ETL optimization techniques, especially within cloud-based data warehouses like Redshift, Snowflake, etc.
• Command-line experience and familiarity with version control collaboration tools (git)
• Experience with data pipeline management technologies with dependency checking, such as Airflow, as well as schema design and data modeling tools (dbt)
• Experience with data visualization technologies, e.g., Tableau, Looker, Sigma, Mode, Hex
• Experience with Python and data ingestion tools
• Ability to problem-solve open-ended problems and project manage dependencies and timelines to optimal outcomes
• Ability to demonstrate tools, business intuition, and attention to detail for data validation and QA 

Our cash compensation amount for this role is targeted at $138,000-156,000 in Denver & most remote locations, and $168,000-189,000 in New York & San Francisco Bay Area. Stock equity is additional. Final offer amounts are determined by multiple factors including candidate experience and expertise and may vary from the amounts listed above.

Senior Technical Advisor – Strategic Supply Chain Risk & Warfighting Technology

Location: United States, Remote Eligible with a strong preference for those local to Washington, DC or Huntsville, AL for a hybrid working model

Work Environment: Remote or Hybrid if within commutable distance

Role Summary:

The Senior Technical Advisor, Strategic Supply Chain Risk & Warfighting Technology, provides expert operational and technical guidance to support the identification, assessment, and validation of mitigation strategies for risks across defense sustainment and modernization supply chains. Operating at the intersection of industrial base analysis, manufacturing science, operational planning, and Department of War–level acquisition and authorities, this role ensures that proposed mitigations are technically feasible, industrially realistic, and executable under U.S. Government authorities spanning the Departments of the Army, Navy, and Air Force, as well as joint and interagency frameworks.

The Technical Advisor serves as the primary technical interface with government customers, owning day-to-day engagement on mitigation strategy design, validation, and execution. This role routinely engages senior civilian and uniformed leaders at the Department of War and Service headquarters level, translating analytical outputs into decision-grade recommendations aligned with strategic priorities, operational risk tolerance, and authorities to act. This position serves as a senior advisor to AI solution engineers and software developers building automated supply chain risk management (SCRM) capabilities. The advisor is also a key member of the Exiger Delivery team, coaching government stakeholders on mitigation strategies that align with strategic technology priorities, operational requirements, and real-world industrial constraints.

What You’ll Do:

• Serve as the primary technical point of contact for government customers, leading discussions on supply chain risk findings, mitigation options, and execution pathways.
• Engage regularly with executive-level stakeholders at the Department of War and Service headquarters, including senior acquisition, sustainment, logistics, and operational leaders.
• Present complex technical, industrial, and analytical findings in a clear, authoritative manner suitable for executive decision-making, including briefings, read-aheads, and formal recommendations.
• Advise and validate supply chain risk mitigations by applying expert judgment on technical feasibility, industrial base capacity, operational relevance, and legal or policy authority across Army, Navy, Air Force, and joint stakeholders.
• Collaborate with Forward Deployed Engineers, Data Scientists, and Software Developers to guide the design, training, and validation of automated or semi-automated SCRM and mitigation workflows.
• Assess and propose mitigation strategies affecting strategically decisive Department of War technologies, ensuring alignment with modernization priorities, force readiness, and mission assurance.
• Translate analytical outputs into actionable courses of action, explicitly identifying tradeoffs, timelines, authorities, and industrial constraints for senior leaders.

What You Bring:

• 10+ years of progressive experience in defense, national security, industrial base analysis, acquisition, procurement, sustainment, warfighting technology environments, or logistics with demonstrated senior advisory responsibility to DoD/DoW or Service-level stakeholders.
• Demonstrated experience engaging senior leaders or executive-level decision-makers within the Department of Defense, Military Departments, or joint organizations, serving as the primary technical interface at DoW and Service headquarters to present decision-grade findings, lead executive briefings/read-aheads, and translate analytic outputs into executable mitigation pathways — backed by a practical software and data engineering background (Python, SQL, Snowflake, PostgreSQL, Redshift and related data-warehouse/query tooling) that enables authoritative review and rapid validation of platform-derived recommendations.
• Proven ability to operate as a trusted advisor, balancing technical rigor, operational realism, and strategic judgment in high-consequence environments, with hands-on experience building and maintaining production analytics and data pipelines (ETL, SQL, Python), implementing model governance and adjudication workflows, and applying modern software practices (Git, CI/CD, containerization, RESTful APIs, and cloud data platforms such as Snowflake/Redshift/AWS/Azure) to convert automated outputs into validated, executable mitigation plans for senior decision makers.
• Experience serving as a senior customer-facing lead on complex defense, industrial base, or technology programs involving multiple stakeholders and competing priorities.
• Comfort operating at the strategic–operational seam, engaging executives while remaining grounded in technical and industrial realities.
• Active U.S. Government security clearance at the Secret level or higher, with the ability to obtain and maintain a Top Secret/SCI clearance as required.

Why You'll Love Working Here:

• High-performance culture rooted in accountability, collaboration, and a shared commitment to excellence.
• Competitive base salary
• Additional performance incentives (SPIFFS, recognition awards)
• Private medical, dental, and vision benefits
• 16 weeks of paid parental leave
• Purposeful career development programs with reimbursement for educational certifications
• Industry-leading health, vision, and dental benefits
• Discretionary Time Off for all employees, with no maximum limits
• A collaborative culture that celebrates hustle, heart, and high performance

#Li-Onsite

About the Role:

We are looking for a Senior Software Engineer to architect, build, and maintain the data infrastructure at Gusto.  As part of the Data Platform team, you will collaborate closely with Data Science, Business Intelligence, and analysts across Gusto teams to help them achieve their goals. 

The Data Platform position is a software development role with knowledge of data architectures and data delivery. The ideal candidate is passionate about developing software, working with data, and

Here’s what you’ll do day-to-day:

• Architect, build, and refine our infrastructure and tools that enable other teams to work with data.
• Efficiently handle vast amounts of clickstream, database, and third party application data, processing in batch and real-time
• Take full ownership of the solutions you build, working with stakeholders to develop requirements, implement solutions, monitor production, and troubleshoot problems that arise.
• Work as part of a team. We value team players who share their knowledge and like collaborating with others.

Here’s what we're looking for:

• • At least 7 years of software engineering experience.
  • Experience building solutions in the cloud, AWS preferred (Redshift, MSK, EMR).
  • Experience with OLAP databases (Clickhouse)
  • Experience building data pipelines at scale, Airflow and Python preferred.
  • Experience with streaming systems desired (Kafka, Kinesis, or similar).
  • Ability to turn vague requirements into clear deliverables with minimal guidance.
  • Experience building and maintaining a modern data stack in production.

Our cash compensation amount for this role is targeted at $163,000-$204,000/year in Denver, $178,000-$223,000/year in Los Angeles, and $197,000-$247,000/year for San Francisco, New York, and Seattle. Final offer amounts are determined by multiple factors including candidate experience and expertise and may vary from the amounts listed above.

The Data Engineering team builds tools and systems that make Gusto's data consistent, user-friendly, and helpful. This helps our teams make decisions using data and provide intelligent, customized experiences to our customers.

We're looking for a Senior Data Engineer who can take loosely defined problems and drive them end-to-end—from framing the problem and aligning stakeholders to designing, building, and delivering durable data solutions. You’ll partner closely with analytics, product, and engineering teams to deliver data solutions that drive real business and customer impact.

Preferred Qualifications

• 8-10+ years of industry experience in data engineering building scalable data pipelines and data products
• Strong proficiency in SQL and at least one programming language (e.g., Python, Scala, or Java)
• Proven experience building and maintaining robust data pipelines and ETL workflows, with hands-on dbt experience for reliable, testable, and maintainable data transformations.
• Hands-on experience ingesting data from diverse sources, including APIs, databases, SaaS applications, and event streams.
• Strong foundation in data modeling, schema design, and data quality best practices, with functional experience working on cloud platforms like Snowflake, Redshift, BigQuery, or Databricks.
• Experience implementing CI/CD pipelines, automated testing, and data observability to ensure reliability and trust in data systems
• Familiarity with monitoring, alerting, and incident response for production-grade data pipelines
• Proven ability to optimize performance and cost across data workflows and storage systems
• Functional understanding of how to leverage AI and automation in data engineering — building self-service tools, intelligent pipelines, and agents that automate repetitive tasks
• Exemplar problem-solving skills and ability to work collaboratively in cross-functional teams.
• Strong communication and collaboration skills, with a focus on clarity, empathy, and shared ownership

Compensation Details

Our cash compensation amount for this role is targeted at $155,000-$185,000/yr in Denver, $170,000-$200,000/yr in Los Angeles, and $190,000-$220,000/yr for San Francisco, Seattle, and New York. Final offer amounts are determined by multiple factors including candidate experience and expertise and may vary from the amounts listed above.

At MNTN, we're looking for a Senior Software Engineer for our Attribution squad, the team behind Verified Visits™, our proprietary attribution system that helps brands finally answer the age-old marketing question: "Did this actually work?" Spoiler: it did, and you'll be a part of the team making it happen.

Our microservices handle hundreds of millions of requests per day, powering a real-time behavioral marketing platform that drives performance in cross-device advertising. We heavily utilize open source technology alongside in-house solutions to meet the low-latency demands of rapid-response advertising.

What You'll Do

• Design and build a robust attribution platform that reaches the right audience, anywhere, anytime
• Build high-volume Kotlin services that are reliable at scale on GCP/GKE
• Design and own data pipelines using SQLMesh, Airflow, and BigQuery to power attribution analytics and downstream products
• Write and optimize SQL against large datasets for both production services and analytical workloads
• Collaborate with and explain complex technical issues to product teams and partner engineering squads
• Mentor engineers across the team and raise the bar on design, testing, and operational quality
• Optimize and enhance existing services and pipelines

What Success Looks Like

• Within 90 days, you've ramped on the Attribution stack, shipped meaningful changes to production, and are comfortable navigating our service topology and data model
• You own new data pipelines end-to-end from requirements through SQLMesh/Airflow design, deployment, and on-call. You partner with data analysts to make attribution data trustworthy and easy to consume
• You're a trusted technical voice in cross-squad discussions, helping shape attribution-adjacent work and mentoring engineers through design and code review

What You'll Bring

• 5+ years of backend development experience, ideally in Kotlin (Java or Scala also welcome)
• 3+ years writing production SQL: query optimization, window functions, and schema design against large datasets
• Experience designing and operating data pipelines with tools like SQLMesh, Airflow, dbt, or similar
• Experience with cloud data warehouses (BigQuery preferred; Snowflake, Redshift, etc. also relevant)
• Experience with microservice architectures running on Kubernetes (GKE preferred)
• Experience with event streaming (Kafka or similar)
• Python experience for scripting and pipeline work
• Strong knowledge of modern design patterns and distributed systems fundamentals
• Comfortable writing effective unit and integration tests with frameworks
• Proficient with Git and a Linux/UNIX environment
• Knowledge of NoSQL databases such as Cassandra (preferred)
• Experience mentoring engineers and influencing technical direction across a team

Job Description 

We are looking for a Senior Data Engineer to help evolve and scale our modern data ecosystem, including our data lake, data warehouse, and machine-learning enablement platforms. This role will contribute to the company’s data-driven culture, bring innovative approaches to cloud-native engineering, and help advance our MLOps capabilities to support production-grade AI/ML initiatives. You will collaborate closely with data scientists, analytics engineers, and cross-functional partners to deliver reliable, high-quality data and operationalized machine-learning solutions.

Responsibilities

• Designs and builds scalable data extracts, integrations, transformations, and data models.

• Ensures successful deployment and provisioning of data solutions across required environments.

• Designs and implements data architectures and applications that enable speed, quality, and operational efficiency.

• Interacts with cross-functional stakeholders to gather and define requirements and translate them into technical designs.

• Develops deep familiarity with enterprise datasets, builds domain knowledge, and advances data quality.

• Reviews requirements, identifies gaps, and drives resolution with stakeholders.

• Identifies and recommends continuous improvement opportunities, ensuring integrations are automated, governed, and observable.

• Serves as a key team member in designing and deploying a ground-up cloud data platform and pipeline.

• Partners with data scientists to design, build, and maintain reproducible machine-learning pipelines, including feature engineering, model training, validation, deployment, and monitoring.

• Implements CI/CD for data and ML workflows (model packaging, automated testing, environment management, release automation).

• Builds and maintains production-grade ML infrastructure such as feature stores, model registries, data versioning, and experiment tracking frameworks (e.g., MLflow).

• Ensures ML models follow best-practice governance, including automated model performance monitoring, drift detection, logging, observability, and alerting.

• Designs scalable data pipelines optimized for ML workloads, such as batch, streaming, and real-time inference use cases.

• Establishes MLOps standards, coding practices, and automation patterns that scale across teams.
   

Qualifications

• Bachelor or Master`s degree in technical discipline such as Computer Science, Information Systems or another technical field

• People person, team player with a strong can-do mentality

• 5+ years of experience as a Data Engineer within a data and analytics environment.

• Strong interpersonal skills with a collaborative, proactive, and solution-driven mindset.

• Proficiency in data modeling concepts and techniques.

• Expertise with Databricks and other cloud data warehousing solutions such as S3, Redshift, or BigQuery.

• Hands-on experience building data pipelines and ETL/ELT workflows using PySpark for semi-structured data (merge, delete, combine, wrangling).

• Advanced knowledge of Python and advanced working SQL skills including query optimization.

• Ability to write, test, and debug RESTful APIs.

• Experience working in agile, cross-functional environments.

• Strong analytical, problem-solving, and critical-thinking capabilities.

• Ability to guide junior engineers and contribute to technical design reviews.

• Strong communication skills with the ability to present complex concepts clearly.

• Experience in data quality initiatives such as Master Data Management (MDM).

• Experience operationalizing machine-learning models in production environments.

• Hands-on experience with ML tooling such as MLflow, SageMaker, Databricks ML, Kubeflow, or similar.

• Experience implementing CI/CD pipelines for data and ML workloads, including automated testing, deployment pipelines, and environment configuration.

• Understanding of model lifecycle management, data versioning, feature store design, and model monitoring concepts.

• Experience containerizing ML workloads using Docker and deploying them via cloud-native services or orchestrators.

• Familiarity with monitoring frameworks, experiment tracking, and performance observability for ML models.

Highly Desired AWS certifications (any):

• DevOps experience with CICD & unit/integration testing, Docker containerization, workflow orchestration

• Databricks certifications – Associate/Professional

• AWS Certified Solutions Architect – Associate/Professional

• AWS Certified Developer – Associate/Professional

• AWS Certified DevOps Engineer 

• AWS Certified Solutions Architect 

• AWS Certified Data Analytics

• AWS Certified Security - Specialty

• AWS Certified Cloud Practitioner

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