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Data Engineer, Billing & Payments
Anthropic · San Francisco, CA · Posted 24 days ago
Own revenue data accuracy and reconciliation across billing, usage and payment systems that scale with Anthropic's growth.
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:
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This posting is sourced from Anthropic's own career site — applying takes you there directly.
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There are 712 open roles at Anthropic right now. This role is one of 27 Data Engineer openings in San Francisco, CA and centers on SQL, Python, Dbt, and Data Pipelines.
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