OpenAI

1 month ago

Data Engineer, Scaling Analytics

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Data Engineer to build and scale analytical foundations powering OpenAI's infrastructure, partnering with Hardware Operations, Capacity Planning, Supply Chain, and Engineering to deliver reliable data products for operational decisions. Focused on infrastructure analytics including hardware health, GPU attribution, and supply analytics, with opportunities to influence capacity planning and site execution across multiple data center campuses.

Location: San Francisco

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Analytics & Business Intelligence

Seniority: Mid level

Key Responsibilities

•Design, build, and maintain scalable data pipelines supporting infrastructure deployment, operations, capacity planning, and supply chain functions.
•Develop trusted datasets and reporting systems that provide visibility into hardware inventory, deployment status, site readiness, capacity utilization, and operational performance.
•Partner with cross-functional stakeholders to define metrics, establish data standards, and improve decision-making across infrastructure organizations.
•Create scalable data models that enable consistent reporting and analytics across multiple data sources and operational systems.
•Improve data quality, lineage, observability, and governance practices across critical infrastructure datasets.

Pay and Benefits

Salary: USD 293,000 - 385,000 annually

Equity and Bonus:Equity

Key Requirements

•5+ years of experience building and maintaining production data pipelines and analytical systems.
•Strong proficiency in SQL and experience designing scalable data models.
•Proficiency in Python or another programming language commonly used for data engineering.
•Experience working with modern data warehouses (e.g., Snowflake, BigQuery, Redshift) and orchestration frameworks (e.g., Airflow, Dagster).
•Experience designing reliable ETL/ELT workflows with a focus on maintainability, performance, and operational excellence.

Experience:5+ yearsInfrastructure analyticsData engineeringData pipelinesData warehousing

Skills:SQLPythonData modelingETL/ELTData qualityObservability

Tech Stack:SQLPythonSnowflakeBigQueryRedshiftAirflowDagsterSparkDbt

Company Brief

OpenAI

Develops and deploys advanced generative AI models (including ChatGPT and DALL·E) and AI infrastructure, providing APIs and consumer products to accelerate safe AGI for broad benefit.

Industry: AI & Machine Learning

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Scaleup

Valuation: Hectocorn (USD 100B+)

Funding: Series E+

Headquarters: San Francisco, United States

Founded: 2015

Glassdoor: 4.4

Website LinkedIn Glassdoor

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OpenAI

1 month ago

Data Engineer, Scaling Analytics

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Location: San Francisco

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Analytics & Business Intelligence

Seniority: Mid level

Key Responsibilities

•Design, build, and maintain scalable data pipelines supporting infrastructure deployment, operations, capacity planning, and supply chain functions.
•Develop trusted datasets and reporting systems that provide visibility into hardware inventory, deployment status, site readiness, capacity utilization, and operational performance.
•Partner with cross-functional stakeholders to define metrics, establish data standards, and improve decision-making across infrastructure organizations.
•Create scalable data models that enable consistent reporting and analytics across multiple data sources and operational systems.
•Improve data quality, lineage, observability, and governance practices across critical infrastructure datasets.

Pay and Benefits

Salary: USD 293,000 - 385,000 annually

Equity and Bonus:Equity

Key Requirements

•5+ years of experience building and maintaining production data pipelines and analytical systems.
•Strong proficiency in SQL and experience designing scalable data models.
•Proficiency in Python or another programming language commonly used for data engineering.
•Experience working with modern data warehouses (e.g., Snowflake, BigQuery, Redshift) and orchestration frameworks (e.g., Airflow, Dagster).
•Experience designing reliable ETL/ELT workflows with a focus on maintainability, performance, and operational excellence.

Experience:5+ yearsInfrastructure analyticsData engineeringData pipelinesData warehousing

Skills:SQLPythonData modelingETL/ELTData qualityObservability

Tech Stack:SQLPythonSnowflakeBigQueryRedshiftAirflowDagsterSparkDbt

Company Brief

OpenAI

Develops and deploys advanced generative AI models (including ChatGPT and DALL·E) and AI infrastructure, providing APIs and consumer products to accelerate safe AGI for broad benefit.

Industry: AI & Machine Learning

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Scaleup

Valuation: Hectocorn (USD 100B+)

Funding: Series E+

Headquarters: San Francisco, United States

Founded: 2015

Glassdoor: 4.4

Website LinkedIn Glassdoor