Monetization Data Platform Engineer

OpenAI; San Francisco (CA); On-site; USD 170,000 - 250,000; Full time

Job summary

OpenAI is seeking a Data Engineer to own and evolve the monetization data platform. You will design, build, and operate large streaming and batch data pipelines spanning product usage, pricing, billing, ads, and revenue, ensuring accuracy and timeliness.

You will partner with Product, Engineering, Finance, Accounting, and GTM to define data contracts, implement robust data models, and raise the bar for reliability and scalability across the data platform.

Qualifications

• Deep experience building and operating production data platforms or high-scale data pipelines.
• Strong fundamentals in data modeling, architecture, distributed systems, and software engineering.
• Experience with data quality, lineage, governance, and observability requirements.
• Ability to translate customer and business problems into precise data contracts and scalable designs.

Responsibilities

• Design, build, and operate large streaming and batch data pipelines that process product, financial, and operational data across systems.
• Develop canonical data models and reusable data products for domains such as product usage, pricing, billing, ads, payments, revenue, and the general ledger.
• Establish strong guarantees for data accuracy, completeness, freshness, lineage, reconciliation, and auditability.
• Build frameworks and platform capabilities that improve developer productivity and enable teams to launch, measure, and iterate on monetization products using trusted data.
• Partner with cross-functional teams to define data contracts and translate requirements into robust technical solutions.

Skills

Data engineering

Distributed systems

Python

Java

SQL

Education

Bachelor's degree in Computer Science or related field

Tools

Airflow

Spark

dbt

Snowflake

Databricks

Job description

OpenAI is seeking a Data Engineer to own and evolve the monetization data platform. You will design, build, and operate large streaming and batch data pipelines spanning product usage, pricing, billing, ads, and revenue, ensuring accuracy and timeliness.

You will partner with Product, Engineering, Finance, Accounting, and GTM to define data contracts, implement robust data models, and raise the bar for reliability and scalability across the data platform.