Data Engineer

Responsibilities

• Design, build, and manage data pipelines to ensure seamless integration of user event data into the data warehouse
• Develop canonical datasets to track key product metrics including user growth, engagement, and revenue
• Collaborate with Infrastructure, Data Science, Product, Marketing, Finance, and Research teams to provide data solutions
• Implement robust, fault-tolerant systems for data ingestion and processing
• Participate in data architecture and engineering decisions
• Ensure data security, integrity, and compliance according to industry and company standards

Requirements

• 3+ years of experience as a data engineer and 8+ years of software engineering experience
• Proficiency in Python, Scala, or Java
• Experience with distributed processing technologies and frameworks such as Hadoop, Flink, and distributed storage (HDFS, S3)
• Expertise with ETL schedulers like Airflow, Dagster, or Prefect
• Solid understanding of Spark, including the ability to write, debug, and optimize Spark code

Benefits

• Competitive salary ($230K – $385K) and equity offers
• Medical, dental, and vision insurance for you and your family
• 401(k) retirement plan with employer match
• Paid parental leave and flexible PTO
• Daily meals in the office and meal delivery credits
• Annual learning and development stipend
• Relocation support for eligible employees

About the Company

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of AI capabilities and seek to safely deploy them to the world through our products.