Backend AI-Forward Data Engineer

About the role

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 $300 billion of real estate in more than 265 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 $35 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 www.greystar.com . JOB DESCRIPTION SUMMARY 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. In addition to your resume, all candidates are required to include a short video (2-5 min) demonstrating how you have used AI tools in your engineering workflow - code generation, debugging, architecture, documentation, or similar. We recommend recording with Loom (free) or uploading as an unlisted YouTube video. Please embed this link at the top of your resume. Applications without a video link will not be reviewed. JOB DESCRIPTION About the Role Greystar is building the data foundation that will power the most AI-advanced operator in global multifamily real estate. We're seeking a Backend AI-Forward Data Engineer to design, build, and operate the core data infrastructure that enables AI-powered products, analytics, and decision-making across a multi-billion dollar 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. What You'll Do Build and Scale AI-Ready Data Infrastructure Design, build, and maintain scalable data pipelines that ingest, transform, and serve data from dozens of source systems (PMS, CRM, financial systems, IoT, web/mobile analytics, and third-party providers). Develop and operate our Data Management Platform (DMP) on Databricks, ensuring data is governed, validated, and available for AI/ML workloads. Build data models optimized for both analytical queries and AI consumption - including feature stores, embedding pipelines, and real-time serving layers. Implement data quality frameworks including automated testing, lineage tracking, anomaly detection, and regression testing for critical data assets. Enable AI and MCP Integrations Build and maintain MCP (Model Context Protocol) server integrations that expose Greystar 's data to LLM-powered tools and AI agents across the organization. Design APIs and data interfaces that allow AI products (GPS, Greystar .com, internal tools) to query and act on data in real time. Partner with Data Science and Product teams to operationalize ML models - building the infrastructure for model training, evaluation, deployment, and monitoring. Evaluate and integrate AI-powered data tooling (e.g., AI-assisted data cataloging, automated schema detection, intelligent data quality monitoring). Collaborate with other engineers on AI integration patterns, prompt engineering, and modern development practices. We are an AI forward team and it's moving fast so we test, iterate, share and repeat. Drive Data Governance and Trust Implement and enforce data governance policies including access controls, PII handling, data classification, and compliance requirements across global operations. Build observability into data systems: monitoring, alerting, SLA tracking, and data freshness guarantees. Contribute to Greystar 's AI governance framework, ensuring data used by AI systems is accurate, compliant, and appropriately scoped. Document data models, pipeline architectures, and integration patterns to enable self-service for business unit analytics teams. What You B

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