Data Engineer
Cognition
San Francisco, CA · Posted November 26, 2025
Just laid off? Start here: a plan for the first weeks
See every open role at Cognition
More in California job market · All Data Engineer jobs (634) · Technology & Software · Data & Analytics jobs
More roles at Cognition
- Executive Assistant, Sales Leadership · San Francisco, CA
- Workplace & Engagement Coordinator · New York, NY
- Account Director · San Francisco, CA
- Talent Operations Coordinator · San Francisco, CA
- Developer Community Manager · San Francisco, CA
- Regional Sales Director · San Francisco, CA
Similar jobs
- Principal Engineer Data · Northrop Grumman · El Segundo, CA
- Data Manager · University Of California San Francisco Foundation · San Francisco, CA
- Research Data Manager · University Of California San Francisco Foundation · San Francisco, CA
- Manager of Data Analysis, Production Support · Natera · San Carlos, CA
- Senior Data Engineer, Bioinformatics, Cheminformatics, Materials · Lila Sciences · San Francisco, CA
- Principal Data Engineer · Ceremed (United States) · CA
Where San Francisco, CA ranks
Where San Francisco, CA placed in our monthly rankings, month by month. Each month stays online at its own address.
November 2026
- #1Best cities for security jobs316 openings · of 20
- #1Best cities for technology jobs7,178 openings · of 100
- #1Best cities for financial services pay after cost of living$173k · of 33
- #1Best cities for entry-level jobs that want AI skills35% · of 100
- #1Best cities for entry-level jobs that want AI skills in the West Coast35% · of 54
- #1Cities with the most jobs that do not need a four-year degree in the West Coast902 jobs · of 47
Rankings about data & analytics jobs
- Best cities for data and analytics jobs #1 New York (1,713 openings)
- Best cities for data and analytics pay after cost of living #1 Foster ($232k)
- Most requested AI skills in data and analytics jobs #1 Machine learning engineering (17.1%)
- AI tools named most often in data and analytics jobs #1 Databricks (7.6%)
- Employers with the most data and analytics jobs #1 Amazon (711 roles)
Data & Analytics jobs · Top Data & Analytics employers · All rankings
Pay compared with the market
This listing does not state pay. Across 203 open data engineer listings that state pay, the middle half runs $116,500 to $158,500 and the median is $135,000.
Listed pay is what employers advertise, not what people are paid.
How AI is used in this kind of work
Among database architects, AI is already used for a large share of the tasks. Measured exposure for database architects: 58% (high).
Share of this job’s tasks that AI is already used for at work, from real usage. It is not a forecast of job loss, and a low number means no use seen yet. Source: Anthropic Economic Index.
Skills this job asks for
Say which you have and which you want to build. We use it to match you to jobs like this one.
About the job
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 https://cognition.com/documents/Cognition-Global-Applicant-and-Job-Candidate-Privacy-Notice.pdf. For US applicants, by submitting your application, you agree to the Applicant Arbitration Agreement https://cognition.com/documents/Cognition-Applicant-Arbitration-Agreement.pdf.