Billing & Revenue Data Engineer - Build Trusted Metrics & Dashboards

Royper Royco LLC; United States, Northern America, Americas; Hybride; USD 320 000 - 405 000; Plein temps

Avantages offerts par ce poste

Equity donation matching

Generous vacation

Parental leave

Flexible hours

Office space

Résumé du poste

Anthropic is hiring a Data Engineer to support the Billing & Payments Engineering team. You will design and maintain data models and pipelines that transform raw billing, usage, and payments data into canonical datasets, partnering with Finance and Accounting to deliver trustworthy revenue metrics.

You will own data accuracy, define success metrics, and build self-serve insights for cross-functional teams. You will also build dashboards in Hex, champion dbt best practices, and help shape the

Qualifications

• 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.

Responsabilités

• 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.

Connaissances

SQL

Python

dbt

Airflow

GitHub

Billing data

Hex dashboards

Formation

Bachelor's degree

Outils

dbt

Airflow

Description du poste

Anthropic is hiring a Data Engineer to support the Billing & Payments Engineering team. You will design and maintain data models and pipelines that transform raw billing, usage, and payments data into canonical datasets, partnering with Finance and Accounting to deliver trustworthy revenue metrics.

You will own data accuracy, define success metrics, and build self-serve insights for cross-functional teams. You will also build dashboards in Hex, champion dbt best practices, and help shape the