Data Engineer, Gtm & Product

at 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 like Devin, the AI software engineer, and Windsurf, the AI-native IDE. The engineer will own the full data stack, including database architecture, pipelines, integrations, and reporting, with a focus on product and GTM reporting. The goal is to ensure data is reliable, accessible, and actionable.

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

  • Expert SQL
  • strong Python (or R)
  • 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)
  • Strong knowledge of statistics and experimentation

Nice to have

  • Metabase a plus

What the JD emphasized

  • 4+ years in a data engineering, data science, or full-stack data role

Other signals

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

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 integrations and reporting. You’ll design and maintain the systems that keep our data reliable, accessible, and actionable across the company with a particular focus on product and GTM reporting.

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 SQL and strong Python (or R)
  • 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)
  • Strong knowledge of statistics and experimentation
  • Based in SF or NYC

Equal Opportunity

Cognition is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic under applicable law. We are committed to providing reasonable accommodations for candidates with disabilities throughout the hiring process - please let us know if you need any.