Data Engineer, Core Product

Cognition Cognition · Coding AI · San Francisco, CA · General & Administrative

This role is for a Data Engineer at an applied AI lab building end-to-end software agents, specifically focusing on the data stack, pipelines, integrations, and reporting to support their AI products like Devin and Windsurf.

What you'd actually do

  1. Design and manage database architecture and data models
  2. Build and maintain ETL/ELT pipelines and orchestration workflows
  3. Create and manage new data integrations across internal and external systems
  4. Own business reporting: datasets, dashboards, metrics, and self-serve analytics
  5. Ensure data quality, observability, governance, and documentation

Skills

Required

  • SQL
  • Python
  • data modeling
  • warehouse architecture
  • BI-oriented schema design
  • ETL/ELT tools (dbt, Airflow, Dagster, etc.)
  • BI reporting
  • scalable backend heavy applications
  • statistics
  • experimentation

Nice to have

  • Metabase

What the JD emphasized

  • SQL and Python (required)

Other signals

  • building end-to-end software agents
  • makers of Devin, the first AI software engineer
  • AI-native IDE
  • collaborative AI teammates
  • AI that can reason on real-world tasks