Anthropic
Data Engineer, Billing & Payments
$320K–$405K
San Francisco, CA +4 · Full-time · Posted Oct 12, 2026
- Location
- San Francisco, CA
New York City, NY
New York, New York, United States
San Francisco, California, United States
Seattle, Washington, United States - Experience
- Minimum years correlate with internal job level; preferred qualification: 5+ years.
- 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 guaranteed for every role or candidate; Anthropic states it will make every reasonable effort to obtain a visa after an offer.
About the job
Build and maintain billing and revenue data systems, ensuring accurate reporting and enabling self-serve insights across Anthropic.
What you'll do
- Build dbt data models and pipelines that transform billing, usage, and payments data into canonical datasets; maintain revenue accuracy and reconciliation.
- Define billing metrics, data integrity standards, and SLAs; build monitoring, dashboards, and self-serve data products.
- Partner with Billing Engineering, Finance, Accounting, and other teams; support pipeline operations and influence the Billing Engineering roadmap.
What they ask for
- Experience as a Data Engineer, Analytics Engineer, or in a similar role.
- Experience with SQL, Python, multi-step data pipelines, workflow orchestration tools like Airflow, and GitHub.
- Familiarity with billing concepts and data from billing systems; experience building dashboards and reporting in tools like Hex for multiple cross-functional teams.
- Ability to prioritize and deliver practical solutions, solve problems end to end, and keep work moving when requirements are unclear; interest in Anthropic’s mission.
Nice to have
- 5+ years of experience as a Data Engineer, Analytics Engineer, or in a similar role.
- Experience partnering with billing, finance, or accounting teams on revenue metrics and reconciliation, or building an analytics or data engineering function from an early stage.
Pay
$320,000 — $405,000 USD (annual base salary)
Tools
SQL, Python, dbt, Airflow, GitHub, Hex
Model-written summary · the original posting is authoritative