Data Engineer, Monetization Data Platform

OpenAI
Mountain View, San Francisco
Workplace: OnsiteFull timeUSD 230,000 - 385,000 annuallyFunction: Data Analytics & Business IntelligenceSkills: ["Problem-solving","Collaboration","Communication","Systems thinking","Engineering excellence"]

Build and operate the next-generation monetization data platform, owning end-to-end systems from instrumentation and source ingestion to canonical modeling, data quality controls, observability, and delivery for downstream consumers. Design scalable streaming and batch pipelines, create reusable data products across usage, pricing, billing, ads, payments, revenue, and the general ledger, and partner with Product, Engineering, Finance, Accounting, and GTM to turn requirements into trusted, auditable data contracts.

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
OpenAI
OpenAI
4 days ago

Data Engineer, Monetization Data Platform

āœ“ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 13 hours agoStatus: Live

Job Summary

Build and operate the next-generation monetization data platform, owning end-to-end systems from instrumentation and source ingestion to canonical modeling, data quality controls, observability, and delivery for downstream consumers. Design scalable streaming and batch pipelines, create reusable data products across usage, pricing, billing, ads, payments, revenue, and the general ledger, and partner with Product, Engineering, Finance, Accounting, and GTM to turn requirements into trusted, auditable data contracts.
Location: Mountain View, San Francisco
Workplace: Onsite
Employment Type: Full time
Job Function: Data Analytics & Business Intelligence

Key Responsibilities

  • ā€¢Design, build, and operate large streaming and batch data pipelines processing product, financial, and operational data.
  • ā€¢Develop canonical data models and reusable data products for product usage, pricing, billing, ads, payments, revenue, and the general ledger.
  • ā€¢Establish guarantees for data accuracy, completeness, freshness, lineage, reconciliation, and auditability.
  • ā€¢Build frameworks and platform capabilities that improve developer productivity and enable teams to launch and iterate on monetization products using trusted data.
  • ā€¢Partner cross-functionally and lead technical design and delivery of complex projects, improving observability and operational excellence of critical data workflows.

Pay and Benefits

Salary: USD 230,000 - 385,000 annually
Equity and Bonus:Equity

Key Requirements

  • ā€¢Deep experience building and operating production data platforms and high-scale data pipelines.
  • ā€¢Proficiency in large data pipeline architecture and at least one general-purpose programming language such as Python, Java, or Scala.
  • ā€¢Strong fundamentals in data modeling, data architecture, distributed systems, and software engineering.
  • ā€¢Experience designing systems with rigorous data quality, observability, lineage, governance, privacy, or access-control requirements.
  • ā€¢Ability to collaborate cross-functionally to navigate ambiguity and deliver robust technical solutions.
Experience:MonetizationFinancial data
Skills:Problem-solvingCollaborationCommunicationSystems thinkingEngineering excellence
Tech Stack:PythonJavaScalaStreamingBatchLakehouseData warehouseWorkflow orchestration

Company Brief

OpenAI
Develops and deploys advanced generative AI models (including ChatGPT and DALLĀ·E) and AI infrastructure, providing APIs and consumer products to accelerate safe AGI for broad benefit.
Industry: AI & Machine Learning
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Scaleup
Valuation: Hectocorn (USD 100B+)
Funding: Series E+
Headquarters: San Francisco, United States
Founded: 2015
Glassdoor
Glassdoor: 4.4
WebsiteLinkedInGlassdoor