Data Engineer
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Role details
Tech stack
Job description
We’re hiring a technical Data Engineer to own our full data stack - from database architecture and pipelines to instrumenting telemetry and owning integrations and reporting. You’ll design and maintain the systems that keep our data reliable, accessible, and actionable across the company. There are multiple openings across various teams: GTM, Core Product, and Finance.
In this role you will:
- Design and manage database architecture and data models
- Build and maintain ETL/ELT pipelines and orchestration workflows
- Create and manage new data integrations across internal and external systems
- Own business reporting: datasets, dashboards, metrics, and self-serve analytics
- Ensure data quality, observability, governance, and documentation
Requirements
Computer Programming, Artificial Intelligence (AI), Finance, Telemetry, Database Architecture, Systems Maintenance, Technical Recruiting, Database Administration, Data Modeling, Database Design, * 4+ years in a data engineering, data science, or full-stack data role
- Expert on SQL and Python (required)
- Experience with data modeling, warehouse architecture, and BI-oriented schema design
- Hands-on experience with ETL/ELT tools (dbt, Airflow, Dagster, etc.)
- Experience building or maintaining BI reporting (Metabase a plus)
- Experience developing scalable backend heavy applications
- Strong knowledge of statistics and experimentation
- Based in SF or NYC
About the company
We’re the makers of Devin, the first AI software engineer.
Our team is extremely talent-dense. Among our founding team, we have world-class competitive programmers, former founders, and leaders from companies at the cutting edge of AI including Scale AI, Palantir, Cursor, Waymo, Tesla, Lunchclub, Modal, Google DeepMind, and Nuro.
Building Devin is just the first step-our hardest challenges still lie ahead. If you’re excited to solve some of the world’s biggest problems and build AI that can reason on real-world tasks, apply to join us.
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