OpenAI3 days ago
Data Engineer, Monetization Data Platform
Salary not specified
MARKET
15,667 ₽median for this role
Data Engineer · 11 jobs with disclosed pay
10,833half of the offers: 14,166–16,81220,833
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Полная занятостьMountain View
Responsibilities
- 01Design, build, and operate large streaming and batch data pipelines that process product, financial, and operational data from a variety of internal and external systems
- 02Develop canonical data models and reusable data products for domains such as product usage, pricing, billing, ads, payments, revenue, and the general ledger
- 03Establish strong guarantees for data accuracy, completeness, freshness, lineage, reconciliation, and auditability
- 04Build frameworks and platform capabilities that improve developer productivity and make it easier for teams to launch, measure, and iterate on monetization products using trusted data
- 05Partner with Product Engineering, Finance, Accounting, Analytics, and GTM teams to define data contracts, instrument new monetization features, and translate product and business requirements into robust technical solutions
- 06Lead the technical design and delivery of complex, cross-functional projects, using clear system designs and RFCs to align partners before implementation and making sound tradeoffs among speed, scalability, reliability, and maintainability
- 07Improve the observability and operational excellence of critical data workflows, including monitoring, incident response, root-cause analysis, and long-term remediation
- 08Command strong sense of engineering excellence, contribute to a design-before-implementation approach with clear documentation, and knowledge sharing across teams to elevate the broader engineering organization
Requirements
- 01Have deep experience building and operating production data platforms, distributed data systems, or high-scale data pipelines
- 02Are highly proficient in large data pipeline architecture and at least one general-purpose programming language such as Python, Java, or Scala
- 03Have strong fundamentals in data modeling, data architecture, distributed systems, and software engineering
- 04Have designed systems with rigorous data quality, observability, lineage, governance, privacy, or access-control requirements
- 05Can collaborate with cross-functional partners to identify needs, navigate ambiguity, and drive progress from problem definition through delivery
- 06Bring a product-oriented mindset and communicate clearly with technical and non-technical partners, translating customer and business problems into precise data contracts and scalable system designs
- 07Care deeply about correctness and operational reliability while maintaining a practical bias toward delivering value
- 08Bring a strong sense of engineering excellence, using clear thinking, sound judgment, and a design-before-implementation approach to create maintainable systems