Data Engineer, Billing & Payments

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.

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

Key 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 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 Promote best practices for dbt, data modeling and SQL Influence the Billing Engineering roadmap from a data systems perspective Build a thorough understanding of our data models and data architecture Minimum qualifications Experience as a Data Engineer, Analytics Engineer or in a similar role Experience with SQL and Python, and 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 Ability to prioritize and deliver practical solutions quickly Willingness to solve problems end to end, including work beyond the original scope Ability to define next steps and keep work moving when requirements are unclear Interest in Anthropic’s mission of building safe and beneficial AI Preferred qualifications 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 Experience building an analytics or data engineering function from an early stage The annual compensation range for this role is listed below.