Monetization Data Platform Engineer

Precision Labs; Mountain View (CA); Hybrid; USD 140,000 - 210,000; Full time

Job summary

OpenAI is seeking a Data Engineer to advance the monetization data platform, owning end-to-end pipelines from instrumentation to delivery to downstream consumers. You will design scalable architectures, partner with Product Engineering, Finance, Accounting, and GTM, and raise engineering standards through robust data products and contracts.

The role emphasizes solving ambiguous data problems, building reliable systems, and delivering value-driven insights across product and business domains,

Qualifications

• Experience building production data platforms or large data pipelines.
• Proficiency in Python, Java, or Scala and data modeling fundamentals.
• Experience with data quality, observability, lineage, governance, and privacy.

Responsibilities

• Design and build end-to-end data pipelines for monetization data.
• Develop canonical data models and reusable data products.
• Ensure data accuracy, freshness, and auditability across systems.
• Improve developer productivity with scalable data platform capabilities.
• Collaborate with product, analytics, and GTM teams to define data contracts.

Skills

Distributed data systems

Python/Java/Scala

Data modeling

Observability

Data contracts

Cross-functional collaboration

Education

Bachelor's degree in CS or related

Tools

Airflow

Snowflake

Kafka

Spark

Job description

OpenAI is seeking a Data Engineer to advance the monetization data platform, owning end-to-end pipelines from instrumentation to delivery to downstream consumers. You will design scalable architectures, partner with Product Engineering, Finance, Accounting, and GTM, and raise engineering standards through robust data products and contracts.

The role emphasizes solving ambiguous data problems, building reliable systems, and delivering value-driven insights across product and business domains,