Data Engineer, Billing & Payments

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. You'll make sure teams have trustworthy data that scales with our growth, and you'll lead your own projects to enable self-serve insights that help teams make data-driven decisions.

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

You may be a good fit if you have:
• 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

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