Data Engineer, Billing & Payments
San Francisco, CA | New York City, NY · New York City, NY · San Francisco · Seattle, WA · USD 320,000-405,000 / year · 5+ years experience · Hybrid · Posted Oct 12, 2026
At a glance
- Experience
- 5+ years experience
- Workplace
- Hybrid
- Location
- San Francisco, CA | New York City, NY · New York City, NY · San Francisco · Seattle, WA
- Salary
- USD 320,000-405,000 / year · Base salary
- Visa sponsorship
- Visa sponsorship available
About Anthropic
- Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
- As a Data Engineer supporting Billing & Payments Engineering, you'll join the Finance Data Engineering team and build the foundation for accurate, scalable billing and revenue data across Anthropic.
- You'll work closely with Billing Engineering, Finance and Accounting, as well as Product and other partners, to turn billing and payments data into reliable metrics, reporting and insights.
Responsibilities
- Partner with Billing Engineering, Finance and Accounting to understand their data and reporting needs, and translate them into technical requirements
- Design, build and maintain data models and pipelines in dbt that transform raw billing, usage and payments data into canonical datasets
- Own revenue data accuracy and reconciliation, making sure billing, usage and revenue data tie out across systems
- Define success metrics for billing systems, and build the data models and monitoring to track them
- Set high data integrity standards and SLAs for timely, accurate delivery of billing and revenue data
- Share on-call and data operations responsibilities for Finance Data Engineering pipelines
- Build dashboards and self-serve data products that track core metrics and deliver insights across the company
- Champion best practices for dbt, data modeling and SQL
- Influence the Billing Engineering roadmap from a data systems perspective
- Become an expert in our data models and data architecture
Requirements
- 5+ years of experience as a Data Engineer, Analytics Engineer or in a similar role
- Expertise in SQL and Python, and in building multi-step data pipelines with tools like dbt
- Experience with workflow orchestration tools like Airflow, and version control with GitHub
- Familiarity with billing concepts such as invoicing, payments, credits, refunds and subscriptions, and experience working with data from billing systems
- Experience building dashboards and reporting in tools like Hex for multiple cross-functional teams
- A bias for action and urgency, without letting perfect be the enemy of the effective
- A full-stack mindset: you do what it takes to solve a problem end to end, even when it goes beyond the original scope
- Comfort with ambiguity, and the initiative to create clarity and keep work moving
- A passion for Anthropic's mission of building helpful, honest and harmless AI
- Bachelor’s degree or an equivalent combination of education, training, and/or experience in a field relevant to the role
Preferred qualifications
- Experience partnering with billing, finance or accounting teams on revenue metrics and reconciliation
- Experience building an analytics or data engineering function from an early stage
Benefits
- competitive compensation and benefits
- optional equity donation matching
- generous vacation and parental leave
- flexible working hours
- lovely office space in which to collaborate with colleagues
Workplace
- Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time.
Skills
- SQL
- Python
- Dbt
- Airflow
- GitHub
- Hex
