Data Engineer (Billing and Payments)

• 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

Benefits

• Comprehensive health, dental, and vision insurance for you and your dependents
• Inclusive fertility benefits via Carrot Fertility
• 22 weeks of paid parental leave
• Flexible paid time off and absence policies
• Mental health support for you and your dependents
• Competitive salary and equity packages
• Optional equity donation matching at a 1:1 ratio, up to 25% of your equity grant
• Retirement plans with competitive matching
• Life and income protection plans
• $500/month flexible wellness and time saver stipend
• Commuter benefits
• Annual education stipend
• Home office stipends
• Relocation support for those moving for Anthropic
• Daily meals and snacks in the office- Experience building dashboards and reporting in tools like Hex for multiple cross-functional teams
• Familiarity with billing concepts such as invoicing, payments, credits, refunds and subscriptions, and experience working with data from billing systems
• Experience with workflow orchestration tools like Airflow, and version control with GitHub
• 5+ years of experience as a Data Engineer, Analytics Engineer or in a similar role
• A bias for action and urgency, without letting perfect be the enemy of the effective
• Comfort with ambiguity, and the initiative to create clarity and keep work moving
• A full-stack mindset: you do what it takes to solve a problem end to end, even when it goes beyond the original scope
• Expertise in SQL and Python, and in building multi-step data pipelines with tools like dbt
• A passion for Anthropic’s mission of building helpful, honest and harmless AI
• Bachelor’s degree or an equivalent combination of education, training, and/or experience
• 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