Data Engineer, Billing & Payments

<div class="content-intro"><h2><strong>About Anthropic</strong></h2> <p>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.</p></div><h3>About the role</h3> <p>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.</p> <h3>Key responsibilities</h3> <ul> <li>Partner with Billing Engineering, Finance and Accounting to understand their data and reporting needs, and translate them into technical requirements</li> <li>Design, build and maintain data models and pipelines in dbt that transform raw billing, usage and payments data into canonical datasets</li> <li>Own revenue data accuracy and reconciliation, making sure billing, usage and revenue data tie out across systems</li> <li>Define success metrics for billing systems, and build the data models and monitoring to track them</li> <li>Set data integrity standards and SLAs for timely, accurate delivery of billing and revenue data</li> <li>Share on-call and data operations responsibilities for Finance Data Engineering pipelines</li> <li>Build dashboards and self-serve data products that track core metrics and deliver insights across the company</li> <li>Promote best practices for dbt, data modeling and SQL</li> <li>Influence the Billing Engineering roadmap from a data systems perspective</li> <li>Build a thorough understanding of our data models and data architecture</li> </ul> <h3>Minimum qualifications</h3> <ul> <li>Experience as a Data Engineer, Analytics Engineer or in a similar role</li> <li>Experience with SQL and Python, and building multi-step data pipelines with tools like dbt</li> <li>Experience with workflow orchestration tools like Airflow, and version control with GitHub</li> <li>Familiarity with billing concepts such as invoicing, payments, credits, refunds and subscriptions, and experience working with data from billing systems</li> <li>Experience building dashboards and reporting in tools like Hex for multiple cross-functional teams</li> <li>Ability to prioritize and deliver practical solutions quickly</li> <li>Willingness to solve problems end to end, including work beyond the original scope</li> <li>Ability to define next steps and keep work moving when requirements are unclear</li> <li>Interest in Anthropic’s mission of building safe and beneficial AI</li> </ul> <h3>Preferred qualifications</h3> <ul> <li>5+ years of experience as a Data Engineer, Analytics Engineer or in a similar role</li> <li>Experience partnering with billing, finance or accounting teams on revenue metrics and reconciliation</li> <li>Experience building an analytics or data engineering function from an early stage</li> </ul><div class="content-pay-transparency"><div class="pay-input"><div class="description"><p>The annual compensation range for this role is listed below. </p> <p>For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.</p></div><div class="title">Annual Salary:</div><div class="pay-range"><span>$320,000</span><span class="divider">—</span><span>$405,000 USD</span></div></div></div><div class="content-conclusion"><h2><strong>Logistics</strong></h2> <p><strong>Minimum education: </strong>Bachelor’s degree or an equivalent combination of education, training, and/or experience</p> <p><strong>Required field of study: </strong>A field relevant to the role as demonstrated through coursework, training, or professional experience</p> <p><strong>Minimum years of experience: </strong>Years of experience required will correlate with the internal job level requirements for the position</p> <p><strong>Location-based hybrid policy:</strong> Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.</p> <p><strong data-stringify-type="bold">Visa sponsorship:</strong> 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.</p> <p><strong>We encourage you to apply even if you do not believe you meet every single qualification.</strong> Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength