Senior Data Engineer, Github
Revenue Intelligence
$124-329.2k
AI-powered developer platform to build, scale & deliver secure software
Be an early applicant
AI-powered developer platform to build, scale & deliver secure software
1001+ employees
Be an early applicant
$124-329.2k
1001+ employees
Company mission
To help every developer—regardless of experience level—learn, code, and ship software effectively.
Role
Who you are
- 6+ years experience in Software Engineering, Computer Science, or related technical discipline with proven experience maintaining and delivering production software coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, Go, Ruby, Rust, or Python
- OR Associate’s Degree in Computer Science, Electrical Engineering, Electronics Engineering, Math, Physics, Computer Engineering, Computer Science, or related field AND 5+ years experience in Software Engineering, Computer Science, or related technical discipline with proven experience maintaining and delivering production software coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, Go, Ruby, Rust, or Python
- OR Bachelor's Degree in Computer Science, Electrical Engineering, Electronics Engineering, Math, Physics, Computer Engineering, Computer Science, or related field AND 4+ years experience in Software Engineering, Computer Science, or related technical discipline with proven experience maintaining and delivering production software coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, Go, Ruby, Rust, or Python
- OR Master's Degree in Computer Science, Electrical Engineering, Electronics Engineering, Math, Physics, Computer Engineering, Computer Science, or related field AND 2+ years experience in Software Engineering, Computer Science, or related technical discipline with proven experience maintaining and delivering production software coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, Go, Ruby, Rust, or Python
- OR Doctorate in Computer Science, Electrical Engineering, Electronics Engineering, Math, Physics, Computer Engineering, Computer Science, or related fie
- OR equivalent experience
- 5+ years SQL experience
Desirable
- SQL fluency — window functions, CTEs, merge statements, query optimization; you think in sets, not loops
- Hands-on dbt experience (Core or Cloud) — models, tests, macros, Jinja, incremental materializations; dimensional modeling (Kimball star schemas, SCD2, conformed dimensions) a strong plus
- Orchestration experience (Airflow, Prefect, Dagster, or similar) for scheduling, dependencies, and error handling
- Cloud data platform experience — Azure preferred (Fabric, ADLS, Synapse); AWS/GCP transfers; familiarity with Delta Lake, Apache Iceberg, or Spark a bonus
- Docker, Git-based workflows, and CI/CD for data pipelines; Python or equivalent for engineering tasks
- Data quality tooling (Soda, dbt Elementary) and catalog/lineage tools (Purview, Atlan, DataHub, or similar)
- Familiarity with advanced patterns — medallion architecture, Data Vault 2.0, metadata-driven frameworks, or federated query engines (Trino/Presto)
- Experience with revenue, finance, or billing data — ARR, consumption models, hierarchy attribution, and account ownership complexity
What the job involves
- As a Senior Data Engineer on the Revenue Data & Analytics team at GitHub, you will build and maintain the governed data infrastructure that powers how GitHub understands its revenue
- You will work at the intersection of data engineering, data modeling, and analytics engineering — designing pipelines, building dimensional models, and implementing data quality frameworks that serve as the single source of truth for Copilot and broader revenue analytics
- We are building a metadata-driven, medallion-architecture governance layer built on Microsoft Fabric, dbt, and Delta Lake
- This role is foundational to that effort
- You will be dedicated to transforming how GitHub governs, models, and delivers revenue data at scale
- We are looking for engineers who think in models, not just pipelines
- People who understand that a well-governed dim_account is worth more than a thousand ad-hoc joins
- If you care about data quality as much as data delivery, about SCD2 as much as SLAs, and about building things right — this is your role
- Design, build, and maintain dbt models across medallion layers (bronze/silver/gold) in Microsoft Fabric Lakehouse and Warehouse, following Kimball dimensional modeling patterns — including SCD2 dimensions, incremental CDC pipelines, and metadata-driven approaches to minimize code duplication
- Author and enforce data quality checks and dbt tests across pipeline stages to catch anomalies before they reach downstream consumers; contribute to data cataloging and lineage to ensure governed datasets are discoverable and traceable
- Develop and maintain Airflow DAGs for orchestration — scheduling, dependency management, error handling, and alerting
- Containerize data workloads with Docker and deploy via GitHub Actions CI/CD pipelines, including automated testing, linting, and environment promotion (dev → staging → prod)
- Manage and optimize ADLS Gen2 and Delta Lake storage — partitioning, compaction, retention policies, and cost management
- Collaborate with analytics engineers, BI developers, and analysts to ensure gold-layer datasets serve Power BI, Trino, and downstream reporting needs
- Participate in architecture reviews and contribute to ADRs; support migration from legacy patterns toward a governed, metadata-driven platform with pragmatism about transition paths
- Own operational excellence across data pipelines — monitoring, alerting, incident response, and proactive detection of data drift, schema changes, and quality regressions
Our take
GitHub was founded to make a developer’s job easier with open and asynchronous communication, distributed version control, and source code management with Git. In the first year alone, 100,000 users were pushing code on the site.
GitHub has quickly become the world’s most popular platform for developers to collaborate on open-source projects from anywhere. Nearly every major company including Facebook, Google, and Apple hosts open-source projects on GitHub.
Github's work culture reflects its global community, with employees collaborating remotely from all over the world. In 2018, Microsoft acquired the company as part of its broader strategy to enhance cloud computing services. Since then, GitHub has been dedicated to evolving its platform, consistently investing in ongoing development to better serve its users.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
18% employee growth in 12 months
Company
Funding (2 rounds)
Jul 2015
$250m
SERIES B
Jul 2012
$100m
SERIES A
Total funding: $350m
Company benefits
- Flexible time away to support balance in your work and life
- Clear diversity, inclusion, and anti-discrimination policies backed by business practices and company culture
- Five months of paid family leave to all new parents with the option to use it all at once or throughout the child’s first year
- Family forming benefits that cover fertility, infertility, adoption, and surrogacy costs and support
- Mental health benefits that offer resources and support and cover therapy and coaching sessions for you and your dependents
- Generous 401(k) matching with 50% match up to the IRS 402(g) limit (US; competitive non-US pension options internationally)
- Employee stock purchase plan that lets you purchase Microsoft stock at a discount. (Microsoft is our parent company.)
- 100% of medical, dental, and vision insurance premiums covered by GitHub for you + your dependents. (Includes gender-affirming benefits)
Company HQ
South Beach, San Francisco, CA
Leadership
Kyle Daigle
(COO)Prior to GitHub, Kyle took on developer-focused challenges as an engineering and product leader in startups, working in FinTech, real estate, and consulting.
Vladimir Fedorov
(CTO)Before joining GitHub, Vlad co-founded UserClouds, a startup specializing in data governance and privacy. He spent 12 years at Facebook as SVP, leading engineering teams across Privacy, Ads, and Platform.
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