Anthropic
Data Engineer, Product
$320K–$405K
San Francisco, CA +3 · Full-time · Posted Oct 9, 2026
- Location
- San Francisco, CA
New York City, NY
Seattle, WA
San Francisco, California, United States - Experience
- 7+ years as a Data Engineer or similar Data Science & Analytics role. The posting also says required years correlate with internal job-level requirements.
- Education
- Bachelor’s degree or an equivalent combination of education, training, and/or experience; field relevant to the role as demonstrated through coursework, training, or professional experience.
- Visa sponsorship
- Visa sponsorship is available, but not guaranteed for every role or candidate; the company says it will make every reasonable effort to obtain a visa after an offer.
About the job
Build data pipelines, metrics, dashboards, and self-serve analytics to support product teams and company-wide data-driven decisions.
What you'll do
- Translate stakeholder data needs into technical requirements and build canonical datasets from raw logs.
- Establish data integrity standards and SLAs, and develop dashboards for core metrics.
- Create data products and self-serve analytics tools, partnering with teams on metrics for consumer products.
What they ask for
- Expertise in SQL and Python for transforming data into accurate data models.
- Expertise building multi-step ETL jobs with tools such as dbt; proficiency with Airflow and GitHub.
- Experience building reporting and dashboards with visualization tools such as Hex.
- Bachelor’s degree or an equivalent combination of education, training, and/or experience; relevant field of study.
Nice to have
- Experience partnering with Product leads on company-wide metrics.
- Experience building a Data Engineering or similar function at start-ups.
Pay
$320,000 — $405,000 USD (base salary)
Tools
dbt, Airflow, GitHub, SQL, Python, Hex
AI focus
Use AI to scale personal and team productivity without sacrificing deliverable quality.
Model-written summary · the original posting is authoritative