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Salary: USD 320,000 - 405,000 / annual
Anthropic is seeking a Data Engineer to join the Finance Data Engineering team, supporting Billing & Payments Engineering. In this role, you will build the foundation for accurate, scalable billing and revenue data across the company. You'll partner closely with Billing Engineering, Finance and Accounting, Product, and other cross-functional teams to transform billing and payments data into reliable metrics, reporting, and insights.
Key responsibilities include:
- Partner with Billing Engineering, Finance and Accounting to understand data and reporting needs, translating 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, ensuring billing, usage, and revenue data tie out across systems
- Define success metrics for billing systems and build 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 the company's data models and data architecture
You'll work in a hybrid environment with an expectation of being in one of Anthropic's offices at least 25% of the time. Anthropic is a public benefit corporation headquartered in San Francisco, focused on creating reliable, interpretable, and steerable AI systems. The company offers competitive compensation, optional equity donation matching, generous vacation and parental leave, and flexible working hours.
Requirements:
- 5+ years of experience as a Data Engineer, Analytics Engineer, or similar role
- Expertise in SQL and Python, and experience 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, with experience working with data from billing systems
- Experience building dashboards and reporting in tools like Hex for multiple cross-functional teams
- Bias for action and urgency; comfort with ambiguity and initiative to create clarity
- Full-stack mindset: ability to solve problems end-to-end, even when scope expands
- Bachelor's degree or equivalent combination of education, training, and/or experience
- Field of study relevant to the role as demonstrated through coursework, training, or professional experience
Strong candidates may also have:
- 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
