Senior Data Engineer - AI-Driven Data Infrastructure Lead

Greystar; South Carolina; On-site; USD 120,000 - 190,000; Full time

Benefits offered by this job

Competitive benefits

Paid time off & holidays

401(k) with company match

Onsite housing discount

Job summary

Greystar is seeking a Senior Data Engineer to design, build, and operate core data infrastructure powering AI-enabled analytics across a multi‑billion dollar global portfolio. You will work across the Data Management Platform and MCP integrations, partnering with data science and product teams to operationalize ML models and ensure data quality, governance, and reliability.

You'll lead end-to-end data ingestion, transformation, and production handoffs, building scalable pipelines and interfaces

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 and AI/ML workloads.
• Experience with AI coding tools like Cursor, Codex, Claude Code, etc.
• Python proficiency; orchestration tools such as Airflow, Dagster, or Databricks Workflows.
• Experience with cloud data platforms (ADLS, Synapse, Azure ML; AWS/GCP acceptable).

Responsibilities

• Take assigned initiatives from raw ingestion through bronze, silver, and certified gold, staying with 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 a documented path back to the governed, gold standard.
• Design, build, and maintain scalable data pipelines ingesting data from dozens of source systems.
• Develop and operate our Data Marketplace (DMP) on Databricks, ensuring data quality and AI readiness.
• Build data models with correct grain, keys, and referential integrity for AI tools and data catalogs.
• Implement data quality frameworks including automated testing, lineage tracking, anomaly detection, and regression testing.

Skills

Databricks

Spark

SQL

Python

Data modeling

AI/ML data workflows

Orchestration (Airflow/Dagster)

Data governance

Tools

Databricks

Spark

Delta Lake

Unity Catalog

Postgres

Azure (ADLS, Synapse, Azure ML)

Job description

Greystar is seeking a Senior Data Engineer to design, build, and operate core data infrastructure powering AI-enabled analytics across a multi‑billion dollar global portfolio. You will work across the Data Management Platform and MCP integrations, partnering with data science and product teams to operationalize ML models and ensure data quality, governance, and reliability.

You'll lead end-to-end data ingestion, transformation, and production handoffs, building scalable pipelines and interfaces