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Data Engineer

Cognition · San Francisco

Extracted from the posting

Base
Not stated
Remote
On-site
Stack
SQL, Python, dbt, Airflow

Data Engineer owning the company data stack: database architecture, ETL/ELT pipelines, integrations, telemetry, and business reporting. Uses SQL and Python, dbt, Airflow, or Dagster, and BI tools such as Metabase. Multiple openings across GTM, Core Product, and Finance.

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

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.

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

Our Commitment

Equal Opportunity. Cognition is an equal opportunity employer. We do not discriminate on the basis of any 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. Cognition also considers applicants with criminal histories consistent with the SF Fair Chance Ordinance and similar local laws.

Data Privacy and Arbitration: By submitting your application, you agree to our Global Applicant and Job Candidate Privacy Notice. For US applicants, by submitting your application, you agree to the Applicant Arbitration Agreement.

Technologies

SQLPythondbtAirflowDagsterMetabase
Cognition
Cognition
Website

Job details

TypeFull-time
Work ModeOn-site
LevelMid Level
Location🇺🇸San Francisco, CA
PostedNov 05, 2026
Apply Now

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