Data Engineer, Billing & Payments

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.

What you'll do

• 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
• Build dashboards and self-serve data products that track core metrics and deliver insights across the company

What it takes

• 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

What you'll bring

How we treat you

Competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.

How to apply

Apply directly on Anthropic's site. We link straight through — no resume parsing, no profile to fill out.

This listing is aggregated from a third-party source and its summary may be auto-generated, so details can be inaccurate or out of date. ForGood is not the employer and is not liable for the content — please verify everything on Anthropic's official posting before applying.