Senior Data Pipeline Engineer - People Analytics

OpenAI; San Francisco (CA); On-site; USD 293,000 - 325,000; Full time

Job summary

OpenAI is seeking a data engineer in San Francisco to design and manage data pipelines that support the People Innovation Labs. Candidates should have at least 3 years of data engineering experience and 8 years of software engineering. Proficiency in programming languages like Python or Java, along with experience in data warehousing technologies such as Databricks, is essential. The compensation range is $293K - $325K, positioning this role as a key part of OpenAI's mission-driven team.

Qualifications

• 3+ years of experience as a data engineer and 8+ years of software engineering.
• Proficiency in Python, Scala, or Java.
• Experience with data warehousing and ETL technologies.

Responsibilities

• Design, build and manage people data pipelines for integration.
• Develop datasets to track key metrics and product metrics.
• Collaborate with various teams to understand data needs.

Skills

Data engineering

Software engineering

Data pipeline management

Collaboration with teams

Data security and compliance

Tools

Databricks

Snowflake

ETL schedulers

Spark

Job description

OpenAI is seeking a data engineer in San Francisco to design and manage data pipelines that support the People Innovation Labs. Candidates should have at least 3 years of data engineering experience and 8 years of software engineering. Proficiency in programming languages like Python or Java, along with experience in data warehousing technologies such as Databricks, is essential. The compensation range is $293K - $325K, positioning this role as a key part of OpenAI's mission-driven team.