A

Anthropic

Builds Claude AI models with a focus on safety

Data Engineer - Billing & Payments

Data EngineeringUpdated on Nov 7
Full-time$320k - $405k /yr

About the Job

Requirements

  • Experience as a Data Engineer, Analytics Engineer, or in a similar role.
  • Experience with SQL and Python, and building multi-step data pipelines with tools such as dbt.
  • Experience with workflow orchestration tools such as 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 such as Hex for multiple cross-functional teams.
  • Ability to prioritize and deliver practical solutions quickly.
  • Willingness to solve problems end to end, including work beyond the original scope.
  • Ability to define next steps and keep work moving when requirements are unclear.
  • Interest in Anthropic’s mission of building safe and beneficial AI.
  • Bachelor’s degree or an equivalent combination of education, training, and/or experience; field of study relevant to the role as demonstrated through coursework, training, or professional experience.

Responsibilities

  • Partner with Billing Engineering, Finance, and Accounting to understand 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, ensuring billing, usage, and revenue data tie out across systems.
  • Define success metrics for billing systems and build data models and monitoring to track them.
  • Set data integrity standards and service-level agreements 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.
  • Promote best practices for dbt, data modeling, and SQL.
  • Influence the Billing Engineering roadmap from a data systems perspective.
  • Build a thorough understanding of the data models and data architecture.

Desired Qualifications

  • Five or more years of experience as a Data Engineer, Analytics Engineer, or in a similar role.
  • 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.

About the Company

Anthropic

Builds Claude AI models with a focus on safety

Anthropic builds the Claude family of AI models and sells them to businesses, software developers, and consumers, with research on making AI safe and understandable at the center of its work. In 2024 it introduced the Model Context Protocol, an open standard for connecting AI assistants to outside apps and data that OpenAI and Google adopted the next year. People use the Claude app to write and analyze files, programmers hand coding tasks to Claude Code, and companies build Claude into their own products through its API. Anthropic earns money from subscriptions, business plans, and usage-based API fees. Siblings Dario and Daniela Amodei founded Anthropic in 2021 with other former OpenAI employees, and it is based in San Francisco.

Company size
5,001-10,000
Company stage
N/A
Total funding
$243.8B
Headquarters
San Francisco, CA
Founded
2021

Recently Posted Jobs

Explore more opportunities at Anthropic

See more jobs