Backend Ai-forward Data Engineer

Greystar Worldwide LLC

Remote
Base: $100,000-$125,000 usd annually; bonus/equity...
Fully remote
Databricks, spark, delta lake, unity catalog
Python, sql, dbt
Azure cloud services or equivalent
Greystar is building the data foundation that will power the most AI-advanced operator in global multifamily real estate

Job Summary

  • Greystar is building the data foundation that will power the most AI-advanced operator in global multifamily real estate.
  • 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.
  • Robust Benefits Offered: Competitive Medical, Dental, Vision, and Disability & Life insurance benefits, generous Paid Time off, 6-Week Paid Sabbatical after 10 years, 401(k) with Company Match.

Matching Summary

Greystar is building the data foundation that will power the most AI-advanced operator in global multifamily real estate.

Salary

Base: $100,000-$125,000 USD Annually; Bonus/Equity: May be eligible for quarterly or annual bonus program; Benefits: Robust Benefits Offered*

Skills & Requirements

Must-have

  • Databricks, Spark, Delta Lake, Unity Catalog
  • Python, SQL, dbt
  • Azure cloud services or equivalent
  • Git, CI/CD, infrastructure as code
  • AI-powered data tooling integration
  • LLM integration patterns, RAG, vector databases
  • Data governance, PII handling, compliance

Nice-to-have

  • AI-first mindset and passion project
  • Strong ownership mentality for data quality
  • Experience in real estate or financial services
  • Familiarity with heterogeneous data sources
  • Collaborative approach across teams

Key Requirements

  • 5+ years of professional data engineering experience
  • Deep expertise with Databricks, Spark, or similar
  • Strong SQL skills and data modeling experience
  • Deep experience with AI coding tools
  • Proficiency in Python and orchestration tools
  • Experience with cloud data platforms
  • AI/ML Data Infrastructure experience
  • Familiarity with LLM integration patterns
  • Awareness of AI governance considerations

Work Rights

Not specified

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