# Data Engineer, Billing & Payments at Anthropic

- Company: Anthropic
- Status: Open
- Workplace: On-site
- Location: San Francisco, CA | New York City, NY
- Level: Mid-level
- Discipline: Data
- Employment: Full-time
- Salary: $320K–405K
- Posted: 2026-10-12
- Skills: Data Science & Analytics
- Apply: https://job-boards.greenhouse.io/anthropic/jobs/5450099008

## Description

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 responsibi

More Anthropic roles: https://deviantjobs.com/companies/anthropic
