Data Engineer (Billing and Payments)

Anthropic; New York (NY); On-site; USD 140,000 - 190,000; Full time

Benefits offered by this job

Comprehensive health insurance

Parental leave

Relocation assistance

Retirement plans

Daily meals in office

Job summary

Anthropic in New York, NY, seeks a Senior Data Engineer / Analytics Engineer to partner with Billing, Finance and Engineering. Build dbt models, data pipelines, and dashboards for revenue metrics. You’ll own data quality, reconciliation across systems, and mentor teams.

Must have SQL, Python, dbt, Airflow, and experience shaping analytics in billing domain. Relocation support and comprehensive benefits provided.

Qualifications

• Experience building dashboards and reporting for cross-functional teams in billing domains.

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.

Skills

SQL

Python

Data engineering

Analytics engineering

Dashboards

Data modeling

Billing data concepts

Cross-functional collaboration

Education

Bachelor’s degree or equivalent

Tools

dbt

Airflow

GitHub

Hex

Job description

• 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

Benefits

• Comprehensive health, dental, and vision insurance for you and your dependents
• Inclusive fertility benefits via Carrot Fertility
• 22 weeks of paid parental leave
• Flexible paid time off and absence policies
• Mental health support for you and your dependents
• Competitive salary and equity packages
• Optional equity donation matching at a 1:1 ratio, up to 25% of your equity grant
• Retirement plans with competitive matching
• Life and income protection plans
• $500/month flexible wellness and time saver stipend
• Commuter benefits
• Annual education stipend
• Home office stipends
• Relocation support for those moving for Anthropic
• Daily meals and snacks in the office

Experience building dashboards and reporting in tools like Hex for multiple cross-functional teamsFamiliarity with billing concepts such as invoicing, payments, credits, refunds and subscriptions, and experience working with data from billing systemsExperience with workflow orchestration tools like Airflow, and version control with GitHub5+ years of experience as a Data Engineer, Analytics Engineer or in a similar roleA bias for action and urgency, without letting perfect be the enemy of the effectiveComfort with ambiguity, and the initiative to create clarity and keep work movingA full-stack mindset: you do what it takes to solve a problem end to end, even when it goes beyond the original scopeExpertise in SQL and Python, and in building multi-step data pipelines with tools like dbtA passion for Anthropic’s mission of building helpful, honest and harmless AIBachelor’s degree or an equivalent combination of education, training, and/or experienceExperience partnering with billing, finance or accounting teams on revenue metrics and reconciliationExperience building an analytics or data engineering function from an early stage