Data Engineer

Cognition

San Francisco, USonsitePosted Jun 8, 2026
Posting intelligenceActively listedReposted 7×, possible evergreen/ghost posting

Skills

metabaseairflowpythondbt

About the role

We are an applied AI lab building end-to-end software agents.

We're the makers of Devin, the first AI software engineer, and Windsurf, the AI-native IDE. Together, they represent our vision for collaborative AI teammates that enable engineers to focus on more interesting problems and empower teams to strive for more ambitious goals.

Our team is small and 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 and Windsurf 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.

About The Role

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 For The Role

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

Equal Opportunity

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