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Data Engineer, Analytics

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OpenAI

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Location:
United States , San Francisco

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

230000.00 - 385000.00 USD / Year
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Job Description:

We're seeking a Data Engineer to take the lead in building our data pipelines and core tables for OpenAI. These pipelines are crucial for powering analyses, safety systems that guide business decisions, product growth, and prevent bad actors. If you're passionate about working with data and are eager to create solutions with significant impact, we'd love to hear from you. This role also provides the opportunity to collaborate closely with the researchers behind ChatGPT and help them train new models to deliver to users. As we continue our rapid growth, we value data-driven insights, and your contributions will play a pivotal role in our trajectory. Join us in shaping the future of OpenAI!

Job Responsibility:

  • 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

Requirements:

  • 3+ years of experience as a data engineer
  • 8+ years of any software engineering experience (including data engineering)
  • Proficiency in at least one programming language commonly used within Data Engineering, such as Python, Scala, or Java
  • Experience with distributed processing technologies and frameworks, such as Hadoop, Flink and distributed storage systems (e.g., HDFS, S3)
  • Expertise with any of ETL schedulers such as Airflow, Dagster, Prefect or similar frameworks
  • Solid understanding of Spark and ability to write, debug and optimize Spark code
What we offer:
  • Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts
  • Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)
  • 401(k) retirement plan with employer match
  • Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)
  • Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees
  • 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)
  • Mental health and wellness support
  • Employer-paid basic life and disability coverage
  • Annual learning and development stipend to fuel your professional growth
  • Daily meals in our offices, and meal delivery credits as eligible
  • Relocation support for eligible employees
  • Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided
  • Offers Equity
  • Performance-related bonus(es) for eligible employees

Additional Information:

Job Posted:
February 21, 2026

Employment Type:
Fulltime
Work Type:
On-site work
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