# Data Engineer, Scaling Analytics

**Company:** [OpenAI](https://hotfix.jobs/companies/openai)
**Location:** San Francisco, CA
**Role:** Data Engineering
**Salary:** $293k – $385k/yr
**Experience:** 5+ years
**Skills:** SQL, Python, Snowflake, BigQuery, Redshift, Airflow, Dagster, ETL, ELT, Spark, dbt
**Posted:** 2026-06-17

> Build and scale data pipelines, models, and reporting systems that power OpenAI's infrastructure operations, capacity planning, and supply chain decisions.

## Job Description

## 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.
- Support executive reporting, operational reviews, forecasting exercises, and strategic planning initiatives through reliable analytical foundations.
- Collaborate with engineering teams to integrate new data sources and operational telemetry into existing analytics ecosystems.
- Build solutions that reduce manual reporting efforts and improve the speed and accuracy of infrastructure decision-making.
- Document systems, processes, and analytical frameworks to improve long-term maintainability and organizational resilience.

## Qualifications
- 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 partnering with cross-functional stakeholders to translate business requirements into technical solutions.
- Experience implementing data quality checks, monitoring, and observability practices in production environments.

## Preferred Skills
- Experience supporting infrastructure, hardware operations, supply chain, manufacturing, logistics, or capacity planning organizations.
- Familiarity with large-scale operational telemetry and business-critical reporting environments.
- Experience with distributed processing frameworks such as Spark.
- Experience with transformation frameworks such as dbt.
- Experience developing executive reporting and operational review metrics.
- Experience operating in fast-paced, ambiguous environments with evolving priorities.

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**Canonical:** https://hotfix.jobs/jobs/95f29a65-412b-4f98-ac4e-c97c6315ac70