Anthropic is an AI safety and research company that's working to build reliable, interpretable, and steerable AI systems. Backed by Accel, Bessemer and General Catalyst.
About the role
• 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 Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- 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
More about this role
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.
• 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
•...
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