Anthropic
Data Engineer, Billing & Payments
San Francisco, CA | New York City, NY · Senior
H1B sponsorship available$320k-$405kDetected 4 days ago
PythonFull-Stack DevelopmentGitSQLAirflowdbtData EngineeringNLPAI OrchestrationAccountingLogisticsResearchCommunication
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odds of building a lasting career here
64Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role100
Entry-level history0
PERM / green-card track0
Lottery odds (Level IV)94
Fits your clock70
Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.
Lottery odds assume a STEM candidate.
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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
- Build dashboards and self-serve data products that track core metrics and deliver insights across the company
- Expertise in SQL and Python, and in building multi-step data pipelines with tools like dbt
- We think AI systems like the ones we're building have enormous social and ethical implications.
Requirements
- 5+ years of experience as a Data Engineer, Analytics Engineer or in a similar role
- Experience with workflow orchestration tools like Airflow, and version control with GitHub
- Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience
- Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position
- You may be a good fit if you have:
- Years of experience required will correlate with the internal job level requirements for the position
Compensation
- $320,000 - $405,000 USD
Company info
- We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
- At Anthropic we work as a single cohesive team on just a few large-scale research efforts.
- We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time.
Visa & Work Authorization
- We do sponsor visas!
- However, we aren't able to successfully sponsor visas for every role and every candidate.
- But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
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This listing is sourced directly from Anthropic's careers page and normalized into a canonical job model.