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Mid LevelFull-timeRustAWSAIData
Salary Range
$102,000 - $138,000 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
We are looking for an Analytics Engineer to join the Real Estate & Workplace (REW) Data & Technology team at OpenAI. This role involves building high-quality data models, pipelines, and Tableau assets to enable data-driven decisions about offices, workplace operations, and employee experience.
Key Responsibilities
- →Build and maintain business-facing data models in Databricks and SQL that power REW reporting and planning.
- →Develop and manage data pipelines for Tableau dashboards used by site leaders, operators, and executives.
- →Define and maintain canonical REW metrics and documentation to ensure consistent decision-making across teams.
- →Integrate data from HR systems, OfficeSpace, badge and access systems, meeting-room bookings, and real-time presence and occupancy sensors.
- →Implement data quality checks, tests, and monitoring to ensure the reliability of REW metrics.
- →Build real-time data pipelines that support agent-based operational applications.
- →Partner with product managers and engineers to evolve and scale the REW data platform.
Requirements
- ✓6+ years of experience in analytics engineering, data engineering, or analytics.
- ✓Strong SQL skills and experience working with cloud data platforms.
- ✓Comfort working with messy, operational, and real-world datasets such as environmental sensor data, IoT data, or other event-based data sources.
- ✓Experience with tools such as dbt, Airflow, or Spark, and real-time systems such as Kafka, Kinesis, Delta Live Tables, or Spark Structured Streaming.
- ✓The ability to thrive in a fast-moving, ambiguous environment where priorities can shift quickly.
