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OpenAI's Monetization Data Platform team is seeking a Senior Data Engineer to design, build, and operate the data foundations that power the company's monetization strategy. This role sits at the intersection of data engineering, product engineering, platform engineering, finance, and go-to-market functions.
You will own high-impact systems end-to-end, from product instrumentation and source ingestion through canonical modeling, quality controls, observability, and delivery to downstream consumers. Key responsibilities include designing and building large-scale streaming and batch data pipelines that process product, financial, and operational data from diverse internal and external systems; developing canonical data models and reusable data products for domains like product usage, pricing, billing, ads, payments, and revenue; establishing strong guarantees for data accuracy, completeness, freshness, lineage, reconciliation, and auditability.
You will build frameworks and platform capabilities that improve developer productivity, enabling teams to launch, measure, and iterate on monetization products using trusted data. This is a hands-on role requiring close partnership with Product Engineering, Finance, Accounting, Analytics, and GTM teams to define data contracts, instrument new features, and translate business requirements into robust technical solutions.
The ideal candidate has deep experience building and operating production data platforms or high-scale data pipelines; strong proficiency in data pipeline architecture and languages like Python, Java, or Scala; solid fundamentals in data modeling, data architecture, distributed systems, and software engineering; and experience designing systems with rigorous data quality, observability, lineage, governance, and access-control requirements. You should be highly collaborative, product-oriented, and able to communicate clearly with both technical and non-technical partners. Experience with monetization, pricing, billing, financial data, or modern lakehouse/data warehouse technologies is a plus but not required.
