Senior Data Engineer, AI & Data Platform
Greystar Real Estate Services, LLC15 days ago
Remote, United StatesSenior
Base Salary
$115k - $135k/yr
Responsibilities
- Own data initiatives end to end from raw ingestion through bronze, silver, certified gold data, deployment, and operational handoff.
- Design, build, maintain, and operate scalable, self-healing pipelines across property management, CRM, financial, IoT, web/mobile analytics, and third-party source systems.
- Develop and operate the Databricks Data Marketplace with governed, validated, high-quality data for AI and machine learning workloads.
- Build rigorous analytical and AI/ML data models with correct grain, keys, referential integrity, feature stores, embedding pipelines, and real-time serving layers.
- Implement automated data quality testing, lineage tracking, anomaly detection, regression testing, monitoring, alerting, SLA tracking, and freshness guarantees.
- Build and maintain MCP server integrations, APIs, and data interfaces for LLM-powered tools, AI agents, and real-time product queries.
- Partner with Data Science and Product teams to operationalize machine learning models through training, evaluation, deployment, and monitoring infrastructure.
- Implement data governance practices covering access controls, PII handling, classification, compliance, provenance, bias detection, and responsible AI data use.
- Document data models, pipeline architectures, integration patterns, and governance practices for reuse and self-service.
- Redeploy across projects as priorities change, learn unfamiliar business domains, and collaborate with engineering, product, analytics, and business teams.
Requirements
- 5+ years of professional data engineering experience building and operating production data platforms.
- Deep expertise with Databricks, Spark, or comparable distributed data processing frameworks.
- Strong SQL skills and data modeling experience across analytical schemas, data vaults, and AI/ML workloads.
- Proficiency in Python and experience with orchestration tools such as Airflow, Dagster, or Databricks Workflows.
- Experience with cloud data platforms including ADLS, Synapse, or Azure ML; AWS or GCP experience is acceptable.
- Experience with relational back ends such as Postgres.
- Experience building ML infrastructure including feature stores, training pipelines, embedding generation, and model serving.
- Familiarity with LLM integration patterns, RAG architectures, vector databases such as Pinecone or Weaviate, and MCP or tool-use frameworks.
- Deep experience with AI coding tools such as Cursor, Codex, or Claude Code.
- Experience with data governance, provenance, bias detection, data quality, low-latency serving, and responsible AI data practices.
- Experience with dbt or similar transformation frameworks, Git, infrastructure as code such as Terraform, and data catalog, lineage, or observability tools.
- Preferred experience in real estate, property management, financial services, asset management, heterogeneous multi-source environments, or multi-business-unit data products.
- Clear communication skills and the ability to explain data architecture decisions to technical and business stakeholders.
- Candidates are encouraged to provide a short video demonstrating use of AI tools in their engineering workflow and a side-project example.
Benefits
- Base salary range is $115,000-$135,000 USD annually, with potential quarterly or annual bonus eligibility; compensation figures are excluded from benefits classification.
- Competitive medical, dental, vision, disability, and life insurance benefits, including low or free basic employee-only medical coverage.
- Paid time off including 15 vacation days, 4 personal days, 10 sick days, and 11 paid holidays for new hires, with additional vacation based on tenure.
- Birthday off after one year of service.
- Onsite housing discounts at Greystar-managed communities for eligible onsite team members, subject to availability.
- Six-week paid sabbatical after 10 years of service and every five years thereafter.
- 401(k) with company match up to 6% of pay after six months of service.
- Paid parental leave and lifetime fertility benefit reimbursement up to $10,000, including adoption or surrogacy.
- Employee Assistance Program, critical illness, accident, hospital indemnity, pet insurance, legal plans, and charitable giving benefits.
- Full-time role that may be performed remotely anywhere in the United States except Alaska; anticipated closing date is December 31, 2026.
Tech Stack
Categories
Data EngineeringML Engineering
About Greystar Real Estate Services, LLC
Greystar Real Estate Services is a privately held global real estate firm focused on institutional‑quality rental housing, providing property management, investment management, development, and construction services for owners and investors. Founded in 1993 and headquartered in Charleston, South Carolina, it manages and operates over $350 billion of real estate across 260+ markets and is the largest apartment operator in the United States, overseeing more than one million units/beds worldwide.