Data Engineer

The role

A technical Data Engineer will own the full data stack including database architecture, pipelines, telemetry, integrations, and reporting. You will design and maintain systems to keep data reliable, accessible, and actionable across GTM, Core Product, and Finance teams.

What you will do

• 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

Required qualifications

• 4+ years in a data engineering, data science, or full-stack data role
• Expert on SQL and Python
• Experience with data modeling, warehouse architecture, and BI-oriented schema design
• Hands-on experience with ETL/ELT tools (dbt, Airflow, Dagster, etc.)
• Experience developing scalable backend heavy applications
• Strong knowledge of statistics and experimentation
• Based in SF or NYC

Nice to have

• Experience building or maintaining BI reporting (Metabase a plus)

About the company

Cognition is an applied AI lab building end-to-end software agents and the makers of Devin, the first AI software engineer.