Senior Data Engineer, AI & Data Platform R0196879 Remote United States Full time

ABOUT GREYSTAR

Greystar is a leading, fully integrated global real estate platform offering expertise in property management, investment management, development, and construction services in institutional-quality rental housing. Headquartered in Charleston, South Carolina, Greystar manages and operates over $350 billion of real estate in more than 260 markets globally with offices throughout North America, Europe, South America, and the Asia-Pacific region. Greystar is the largest operator of apartments in the United States, managing over one million units/beds globally.

Across its platforms, Greystar has nearly $79 billion of assets under management, including over $34 billion of development assets and over $36.5 billion of regulatory assets under management. Greystar was founded by Bob Faith in 1993 to become a provider of world-class service in the rental residential real estate business. To learn more, visit

Greystar's D2AI team is responsible for the platforms, processes, and practices that power AI across the organization. This role goes beyond traditional delivery: your decisions influence how data is transformed into intelligent, scalable solutions used by teams company-wide. We require AI fluency because this role sits at the intersection of data, technology, and business outcomes. That means understanding how AI systems are designed and operationalized, using AI-enabled tools in day-to-day work, and partnering effectively with engineering, analytics, and business teams to ensure AI solutions are reliable, responsible, and impactful.

We hire for Greystar, not for a single team. You'll join a fast paced engineering group and get to work across many initiatives as we modernize and rethink how the company operates. That range is the benefit: broad exposure to the business, real variety in the problems you solve, and the chance to help shape a multi-billion dollar global operator rather than maintain one corner of it.

Once you're assigned to a project, we expect you to own your piece end to end and then move on to the next. The engineers who thrive here are versatile, self-directed, and able to pick up unfamiliar business context quickly.

Greystar is building the data foundation that will power the most AI-advanced operator in globalmultifamily real estate. We're seeking a Senior Data Engineer to design, build, and operate the core data infrastructure that enables AI-powered products, analytics, and decision-making across a multi-billiondollar global portfolio.

This role sits at the intersection of data engineering and applied AI: you'll build the pipelines, platforms,and interfaces that make Greystar's proprietary data accessible, trustworthy, and AI-ready. You will work across our Data Management Platform (DMP), MCP integrations, and AI-enabled analytics tools that serve every business unit. Our team includes engineers, designers, and product leaders with experience from Google, Microsoft, Airbnb, Strava, Amazon, and more.

You won't be boxed into one standing domain. Once you're assigned, you'll take a project from ingestionthrough certified “gold” data and into production, hand it cleanly to operations, and then move to the next. Some initiatives will play to a deep specialty; others will ask you to learn a new part of the business fast. Comfort with that kind of movement is part of the job.

• Take assigned initiatives from raw ingestion through bronze, silver, and certified gold, stayingwith the work through deployment and handoff to operations.
• Redeploy across projects as priorities shift, ramping quickly on unfamiliar source systems and business domains.
• Default to doing it right; when speed is genuinely required, ship a usable solution with adocumented path back to the governed, gold standard.

• Design, build, and maintain scalable and self-healing data pipelines that ingest, transform, andserve data from dozens of source systems (PMS, CRM, financial systems, IoT, web/mobileanalytics, and third-party providers).
• Develop and operate our Data Marketplace (DMP) on Databricks,…