Job Overview
Location
San Francisco
Job Type
Full-time
Category
Data Engineer
Date Posted
February 25, 2026
Full Job Description
📋 Description
- • As an Analytics Engineer on the Real Estate & Workplace (REW) Data & Technology team at OpenAI, you will play a pivotal role in shaping the future of our global office spaces and workplace operations through robust data modeling and insightful analytics.
- • The REW Data & Technology team is at the forefront of building the essential data infrastructure that empowers OpenAI to strategically plan, efficiently operate, and effectively scale its expanding real estate and workplace footprint across the globe.
- • Your core mission will be to construct and maintain high-quality data models, sophisticated data pipelines, and compelling Tableau visualizations. These assets will be instrumental in enabling OpenAI to make informed, data-driven decisions concerning office spaces, the intricacies of workplace operations, and the overall employee experience.
- • You will collaborate closely with key stakeholders across Workplace Operations, Finance, and Technology teams. This partnership will involve translating complex, real-world operational challenges into reliable, scalable, and actionable analytics products that drive tangible improvements.
- • This role demands a strong focus on execution and delivery. You will be responsible for shipping trusted, accurate datasets, building production-ready dashboards that provide critical insights, and contributing significantly to a rapidly growing analytics platform.
- • This platform will not only support human-driven workflows but also lay the groundwork for innovative agent-based automation, offering a unique opportunity to contribute to cutting-edge AI advancements that are fundamentally transforming how workplaces and real estate operations function within OpenAI.
- • Key responsibilities include building and meticulously maintaining business-facing data models using Databricks and SQL. These models will serve as the foundational source of truth for REW reporting and strategic planning initiatives.
- • You will develop and expertly manage data pipelines specifically designed to feed Tableau dashboards. These dashboards will be critical tools for site leaders, operational managers, and executive leadership, providing them with the insights needed to guide decision-making.
- • A crucial aspect of your role will be defining and upholding canonical REW metrics and comprehensive documentation. This ensures consistency and clarity in how data is interpreted and utilized across different teams, fostering a unified understanding of performance and operational efficiency.
- • You will be tasked with integrating diverse data sources, including critical information from HR systems, office space management tools (like OfficeSpace), badge and access control systems, meeting room booking platforms, and real-time presence and occupancy sensors.
- • Implementing rigorous data quality checks, automated tests, and proactive monitoring systems is essential to guarantee the utmost reliability and accuracy of REW metrics.
- • You will have the opportunity to build and optimize real-time data pipelines that are vital for supporting agent-based operational applications, pushing the boundaries of AI-driven workplace management.
- • Furthermore, you will partner closely with product managers and fellow engineers to continuously evolve, enhance, and scale the REW data platform, ensuring it remains at the cutting edge of technological capability.
- • This role offers a unique chance to be part of a team that is not only managing the physical infrastructure of a leading AI company but also innovating on the data and technology that underpins it, directly impacting how thousands of employees work and collaborate.
- • You will contribute to creating environments that foster productivity, innovation, and well-being, leveraging data to optimize every aspect of the workplace experience.
- • The insights you generate will influence decisions on office design, resource allocation, space utilization, and operational efficiency, making your contribution highly visible and impactful.
- • You will be instrumental in ensuring that OpenAI's physical spaces are as advanced and data-informed as its AI research, creating a seamless integration of technology and human experience.
- • This is a chance to work with a world-class team in a fast-paced, high-growth environment, applying your analytical skills to solve complex problems with real-world implications.
🎯 Requirements
- • 6+ years of experience in analytics engineering, data engineering, or analytics.
- • Strong SQL skills and demonstrated experience working with cloud data platforms (e.g., Databricks, Snowflake, BigQuery).
- • Proven ability to work with and transform messy, operational, and real-world datasets, including environmental sensor data, IoT data, or other event-based data sources.
- • Experience with data pipeline and workflow orchestration tools such as dbt, Airflow, or similar.
- • Familiarity with real-time data streaming technologies like Kafka, Kinesis, Delta Live Tables, or Spark Structured Streaming.
- • A proactive and adaptable mindset, comfortable thriving in a fast-moving, ambiguous environment where priorities can shift rapidly.
🏖️ Benefits
- • Competitive salary and equity compensation.
- • Comprehensive health, dental, and vision insurance.
- • Generous paid time off and holidays.
- • Opportunities for professional development and continuous learning.
- • A chance to work on cutting-edge AI technology and shape the future of workplace operations.
Skills & Technologies
Kafka
Apache Spark
Onsite
About OpenAI, Inc.
OpenAI is a San Francisco-based artificial intelligence research and deployment company founded in 2015. It develops large-scale AI models such as GPT, DALL-E, and Codex, providing cloud APIs and consumer applications like ChatGPT. Originally established as a non-profit, it later created a capped-profit subsidiary to attract capital while maintaining its mission to ensure artificial general intelligence benefits all of humanity.
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