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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Data Engineer, AI & Data Platform - **Company:** Greystar Real Estate Partners, LLC - **Location:** United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Airflow, Amazon Web Services, Automation of Tests, Cloud Database, Information Engineering, Data Governance, Data Infrastructure, Data Integrity, Cursor (Graphical User Interface Elements), Python (Programming Language), PostgreSQL, Machine Learning, Metadata Repositories, Regression Testing, Cloud Services, Standard Sql, Azure Machine Learning, Workflow Management Systems, Large Language Models, Apache Spark, Core Data, Real Time Data, Data Management, Machine Learning Operations, Marketplace, Data Pipelines, Databricks - **Published:** August 8, 2026 - **Apply:** https://us.experteer.com/career/view-jobs/senior-data-engineer-ai-and-data-platform-usa-58857158 ## About the Role Experteer Overview In this Senior Data Engineer role, you build and operate the core data infrastructure that powers AI-enabled products and analytics across Greystar's global portfolio. You work across the Data Management Platform and AI-enabled tools to ensure data is accessible, trustworthy, and ready for AI workloads. You own initiatives end-to-end, adapt to changing priorities, and collaborate with engineering, analytics, and business teams to deliver reliable, scalable solutions. This is a fast-moving, AI-forward team offering broad business exposure and impactful projects. Compensation / Benefits * Take initiatives from raw ingestion through bronze, silver, and certified gold, including deployment and handoff to operations * Redeploy across projects as priorities shift and learn new business domains quickly * Build scalable, self-healing data pipelines ingesting data from numerous source systems * Develop and operate the Data Marketplace on Databricks with data governance and aa * quality * Create robust data models with correct grain, keys, and referential integrity for AI tools and data catalogs * Build AI-ready data infrastructure including feature stores, embeddings, and real-time serving layers * Implement data quality frameworks with automated testing, lineage, anomaly detection, and regression tests * Develop MCP server integrations and APIs for real-time data access by AI products * Collaborate with Data Science and Product teams to operationalize ML models and monitoring * Establish data governance, access controls, PII handling, and compliance; document models and pipelines for self-service Tasks * 5+ years of professional data engineering experience * Deep expertise with Databricks, Spark, or similar frameworks * Strong SQL and data modeling across analytical and AI/ML workloads * Experience with AI coding tools ( Cursor, Codex, Claude Code, etc.) * Proficiency in Python; orchestration tools (Airflow, Dagster, Databricks Workflows) * Cloud data aaaa days, (ADLS, Synapse, Azure ML; AWS/GCP acceptable) and Postgres * Experience building ML infrastructure (feature stores, training pipelines, model serving) * Familiarity with LLM integration patterns, vector databases, MCP, and RAG * Understanding of AI governance: data provenance, bias detection, responsible AI data practices * Clear communicator with ability to explain architecture to product and business stakeholders Key requirements * Competitive medical, dental, vision insurance * Generous PTO: 15 days vacation, 4 personal days, 10 sick days, 11 holidays * Onsite housing discount for onsite roles * 6-week paid sabbatical after 10 years * 401(k) with 6% match * Parental leave and fertility benefit reimbursement ## Description Experteer Overview In this Senior Data Engineer role, you build and operate the core data infrastructure that powers AI-enabled products and analytics across Greystar's global portfolio. You work across the Data Management Platform and AI-enabled tools to ensure data is accessible, trustworthy, and ready for AI workloads. You own initiatives end-to-end, adapt to changing priorities, and collaborate with engineering, analytics, and business teams to deliver reliable, scalable solutions. This is a fast-moving, AI-forward team offering broad business exposure and impactful projects. Compensation / Benefits * Take initiatives from raw ingestion through bronze, silver, and certified gold, including deployment and handoff to operations * Redeploy across projects as priorities shift and learn new business domains quickly * Build scalable, self-healing data pipelines ingesting data from numerous source systems * Develop and operate the Data Marketplace on Databricks with data governance and high quality * Create robust data models with correct grain, keys, and referential integrity for AI tools and data catalogs * Build AI-ready data infrastructure including feature stores, embeddings, and real-time serving layers * Implement data quality frameworks with automated testing, lineage, anomaly detection, and regression tests * Develop MCP server integrations and APIs for real-time data access by AI products * Collaborate with Data Science and Product teams to operationalize ML models and monitoring * Establish data governance, access controls, PII handling, and compliance; document models and pipelines for self-service Tasks * 5+ years of professional data engineering experience * Deep expertise with Databricks, Spark, or similar frameworks * Strong SQL and data modeling across analytical and AI/ML workloads * Experience with AI coding tools ( Cursor, Codex, Claude Code, etc.) * Proficiency in Python; orchestration tools (Airflow, Dagster, Databricks Workflows) * Cloud data platforms (ADLS, Synapse, Azure ML; AWS/GCP acceptable) and Postgres * Experience building ML infrastructure (feature stores, training pipelines, model serving) * Familiarity with LLM integration patterns, vector databases, MCP, and RAG * Understanding of AI governance: data provenance, bias detection, responsible AI data practices * Clear communicator with ability to explain architecture to product and business stakeholders Key requirements * Competitive medical, dental, vision insurance * Generous PTO: 15 days vacation, 4 personal days, 10 sick days, 11 holidays * Onsite housing discount for onsite roles * 6-week paid sabbatical after 10 years * 401(k) with 6% match * Parental leave and fertility benefit reimbursement ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Developer Experience, Platform Engineering and AI powered Apps](https://www.wearedevelopers.com/videos/990-developer-experience-platform-engineering-and-ai-powered-apps) - [Cutting LLM Costs Without Cutting Quality: How to Beat Proprietary LLMs with Fine-Tuned Open Source](https://www.wearedevelopers.com/videos/100151-cutting-llm-costs-without-cutting-quality-how-to-beat-proprietary-llms-with-fine-tuned-open-source) - [AI Model Management Life Circles: ML Ops For Generative AI Models From Research to Deployment](https://www.wearedevelopers.com/videos/1152-ai-model-management-life-circles-ml-ops-for-generative-ai-models-from-research-to-deployment) - [Building Multi-Tenant ASP.NET Core Applications: Best Practices and Real-World Solutions](https://www.wearedevelopers.com/videos/1552-building-multi-tenant-asp-net-core-applications-best-practices-and-real-world-solutions) - [OLTP in the Lakehouse: Redefining Data for AI Workloads](https://www.wearedevelopers.com/videos/2038-oltp-in-the-lakehouse-redefining-data-for-ai-workloads) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers)