Data Engineer, Billing & Payments
Join Anthropic as a Data Engineer to build scalable billing and revenue data systems in a hybrid work environment.
Posted by employer 11 hours ago
First seen on Joblaze 6 hours ago
Last verified on the company career page 6 hours ago
What you'll build
- Design, build and maintain data models and pipelines
- Own revenue data accuracy and reconciliation
- Build dashboards and self-serve data products
- Define success metrics for billing systems
- Champion best practices for dbt and data modeling
Must have
- 5+ years of experience as a Data Engineer
- Expertise in SQL and Python
- Experience with workflow orchestration tools like Airflow
- Familiarity with billing concepts
- Experience building dashboards in tools like Hex
Nice to have
- Experience partnering with billing, finance or accounting teams
- Experience building an analytics or data engineering function
Practical constraints
- Currently, we expect all staff to be in one of our offices at least 25% of the time
Requirements
- Experience
- 5+ years
- Education
- Bachelor's degree
- Visa
- Sponsorship available
Benefits
Joblaze summary
In the role of Data Engineer for Billing & Payments at Anthropic, the individual will focus on developing and maintaining data models and pipelines that ensure accurate billing and revenue metrics. Proficiency in SQL, Python, and tools like dbt is essential, along with experience in billing concepts and data orchestration. This position is suited for someone with over five years of experience in data engineering or analytics, particularly those who have collaborated with finance or billing teams. Anthropic emphasizes a collaborative environment, aiming to build reliable AI systems.
Joblaze insights
- Listed today — first seen on Joblaze October 13, 2026. Last confirmed on Anthropic's careers page October 13, 2026.
- Salary band is above the typical range for Data Engineering roles (median ~$180,656).
- Starts above 99% of 139 comparable senior data engineering roles in United States that list Python we track (median $180,656 across 39 companies). See Python salary trends
- Python appears in 78.5% of 219 comparable senior data engineering roles in United States; GitHub appears in 1.8% of 219 comparable senior data engineering roles in United States.
Quick facts
- Is the Data Engineer, Billing & Payments role remote?
- It's hybrid — Anthropic expects some on-site time in San Francisco, CA, United States.
- What's the salary range?
- Anthropic lists $320,000–$405,000 for this role.
- How much experience is required?
- At least 5 years of relevant experience for this Data Engineer, Billing & Payments role.
- Where is the role based?
- Anthropic is hiring for this position in San Francisco, CA, United States.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: Airflow, GitHub, Hex, Python, SQL, dbt.
- Does Anthropic sponsor work visas for this role?
- Yes — the posting indicates visa sponsorship is available for the right candidate.
- What seniority level is this role?
- Anthropic targets senior candidates for this position.
- Is this full-time or contract?
- Full-time for this Data Engineer, Billing & Payments role at Anthropic.
From the original posting
About Anthropic
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:
• 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
• A full-stack mindset: you do what it takes to solve a problem end to end, even when it goes beyond the original scope
• Comfort with ambiguity, and the initiative to create clarity and keep work moving
• A passion for Anthropic's mission of building helpful, honest and harmless AI
Strong candidates may also have:
• 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
The annual compensation range for this role is listed below.
Logistics
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