[Hiring] Senior Data Engineer, AI & Data Platform @Greystar

Role Description

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.

Greystar is building the data foundation that will power the most AI-advanced operator in global multifamily 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-billion dollar global portfolio.

This role sits at the intersection of data engineering and applied AI:

• Build the pipelines, platforms, and interfaces that make Greystar's proprietary data accessible, trustworthy, and AI-ready.
• Work across our Data Management Platform (DMP), MCP integrations, and AI-enabled analytics tools that serve every business unit.
• Take a project from ingestion through certified “gold” data and into production, handing it cleanly to operations.

Qualifications

• 5+ years of professional data engineering experience building and operating production data platforms.
• Deep expertise with Databricks, Spark, or similar distributed data processing frameworks.
• Strong SQL skills and data modeling experience across analytical (star schema, data vault) and AI/ML workloads.
• Deep experience with AI coding tools like Cursor, Codex, Claude Code, etc.
• Proficiency in Python; experience with orchestration tools (Airflow, Dagster, or Databricks Workflows).
• Experience with cloud data platforms (ADLS, Synapse, Azure ML; AWS/GCP acceptable) and relational back ends such as Postgres.

Requirements

• Design, build, and maintain scalable and self-healing data pipelines that ingest, transform, and serve data from dozens of source systems.
• Develop and operate our Data Marketplace (DMP) on Databricks, ensuring data is governed, validated, and available for AI/ML workloads.
• Implement data quality frameworks including automated testing, lineage tracking, anomaly detection, and regression testing for critical data assets.
• Build and maintain MCP (Model Context Protocol) server integrations that expose Greystar's data to LLM-powered tools and AI agents.
• Document data models, pipeline architectures, and integration patterns for reusability.

Benefits

• Competitive Medical, Dental, Vision, and Disability & Life insurance benefits.
• Generous Paid Time off: 15 days of vacation, 4 personal days, 10 sick days, and 11 paid holidays.
• 6-Week Paid Sabbatical after 10 years of service (and every 5 years thereafter).
• 401(k) with Company Match up to 6% of pay after 6 months of service.
• Paid Parental Leave and lifetime Fertility Benefit reimbursement up to $10,000.
• Employee Assistance Program.
• Critical Illness, Accident, Hospital Indemnity, Pet Insurance, and Legal Plans.
• Charitable giving program and benefits.