Anthropic
Data Engineer
$320K–$405K
San Francisco, CA +3 · Full-time · Posted Oct 30, 2026
- Location
- San Francisco, CA
New York City, NY
Seattle, WA
San Francisco, California, United States - Experience
- Minimum years correlate with internal job level; preferred: 5+ years in data engineering, analytics engineering, or GTM data roles.
- Education
- Bachelor’s degree or an equivalent combination of education, training, and/or experience; relevant field of study demonstrated through coursework, training, or professional experience.
- Visa sponsorship
- Visa sponsorship is available, but not for every role or candidate; if an offer is made, Anthropic will make every reasonable effort to obtain a visa and provides immigration-lawyer support.
About the job
Build and operate trusted GTM data products and infrastructure that help teams understand markets, prioritize opportunities, and reliably use intelligence across systems.
What you'll do
- Integrate and model internal and external data, including identity resolution and canonical company attributes.
- Deliver scores, signals, and AI-generated attributes to GTM tools such as the CRM, with production quality, observability, and access controls.
- Partner with GTM process owners and other teams to define data, support planning workflows, and build reusable platform capabilities.
What they ask for
- Experience building and operating production data pipelines and models as a data engineer or analytics engineer.
- Strong SQL and Python, with experience using modern transformation and orchestration tools on a cloud data warehouse.
- Experience making multi-source messy data usable, including record matching, deduplication, and reconciling conflicting values.
- Familiarity with GTM data and CRM systems; regular hands-on use of AI tools in engineering work.
Nice to have
- Experience building a shared data product or platform, or working with company data such as firmographics and corporate hierarchies.
- Experience with LLMs in data pipelines, Salesforce at large data volumes, or GTM planning processes.
Pay
$320,000 — $405,000 USD (base salary)
Tools
SQL, Python, Salesforce, LLMs
AI focus
Use AI tools in engineering work and build AI-generated attributes; preferred experience includes using LLMs in data pipelines and evaluating their output.
Model-written summary · the original posting is authoritative