Data Engineer, Analytics
About the team The Applied team works across research, engineering, product, and design to bring OpenAI’s technology to consumers and businesses. We seek to learn from deployment and distribute the benefits of AI, while ensuring that this powerful tool is used responsibly and safely.
What this role actually needs.
Data Engineer, Analytics at OpenAI in San Francisco. UpJobz keeps this listing high-signal for applicants targeting serious high-tech roles across the United States, Canada, and Mexico. About the team The Applied team works across research, engineering, product, and design to bring OpenAI’s technology to consumers and businesses. We seek to learn from deployment and distribute the benefits of AI, while ensuring that this powerful tool is used responsibly and safely.
Day-to-day expectations
A clear list of the work this role is designed to cover.
- Design, build and manage our data pipelines, ensuring all user event data is seamlessly integrated into our data warehouse.
- Develop canonical datasets to track key product metrics including user growth, engagement, and revenue.
- Work collaboratively with various teams, including, Infrastructure, Data Science, Product, Marketing, Finance, and Research to understand their data needs and provide solutions.
- Implement robust and fault-tolerant systems for data ingestion and processing.
- Participate in data architecture and engineering decisions, bringing your strong experience and knowledge to bear.
- Ensure the security, integrity, and compliance of data according to industry and company standards.
What a strong candidate brings
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Why people would want this job
Benefits help searchers understand whether the role is a real fit before they apply.
- Design, build and manage our data pipelines, ensuring all user event data is seamlessly integrated into our data warehouse.
- Develop canonical datasets to track key product metrics including user growth, engagement, and revenue.
- Work collaboratively with various teams, including, Infrastructure, Data Science, Product, Marketing, Finance, and Research to understand their data needs and provide solutions.
- Implement robust and fault-tolerant systems for data ingestion and processing.
- Participate in data architecture and engineering decisions, bringing your strong experience and knowledge to bear.
- Ensure the security, integrity, and compliance of data according to industry and company standards.
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Next moves
- Tailor your resume around ai and llm instead of sending a generic application.
- Use the first two bullets of your application to connect your background directly to data engineer, analytics is a high-signal on-site role in san francisco, and it is most realistic for united states residents.
- Open the role quickly if it fits and bookmark three similar jobs before you leave the page.
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- $230K - $385K is visible, so calibrate your application around the posted range.
- Use united states residents as part of your positioning so the recruiter does not have to infer it.
- Show concrete examples of succeeding in on-site environments.
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