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Our people at JLL are shaping the future of real estate for a better world by combining world class services, advisory and technology for our clients. We are committed to hiring the best, most talented people and empowering them to thrive, grow meaningful careers and to find a place where they belong. Whether you’ve got deep experience in commercial real estate, skilled trades or technology, or you’re looking to apply your relevant experience to a new industry, join our team as we help shape a brighter way forward.
Senior Data Engineer (P3)
ROLE SUMMARY
The Senior Data Engineer designs and builds the governed data foundations, pipelines, APIs and Databricks semantic layer that make enterprise data trustworthy, AI-ready and accessible to non-technical colleagues. This role combines hands-on Databricks and PySpark engineering with close partnership across Finance and IT to move the organization to a modern, agile target state data architecture.
RESPONSIBILITIES
- Contribute to the design of information infrastructure and data management processes that move the organization to a more agile, robust, AI-ready target state data architecture
- Build systems and pipelines that ingest, cleanse and normalize diverse internal and external datasets, and add structure to unstructured data for analytical and AI use
- Partner with colleagues and external professionals to determine requirements, anticipate future needs and identify opportunities to drive data development
- Develop a strong understanding of how data flows across CRM, Broker & Sales, Finance, HR, MDM, ODS, Data Lake and EDW
- Deliver data and API solutions, including natural-language and AI-assisted access to governed data, that enable non-technical staff to make data-driven decisions
- Develop POCs to validate solution proposals and influence platform architects, product managers and software engineers
- Design and develop data lake and API solutions for structured and unstructured data, and provide technical guidance to help colleagues migrate to modern platforms
AI DATA ENGINEERING
- Build AI-ready pipelines that curate and version data for retrieval, evaluation and agentic workflows, including document parsing, chunking, embeddings and vector search for RAG
- Develop API and MCP-based foundations that give AI agents governed access to enterprise data
- Implement data quality, lineage, observability and evaluation frameworks to measure the accuracy of AI-generated answers against trusted data
- Apply governance and access controls (row/column-level security, masking) so AI solutions respect data classification and privacy requirements
- Partner with data science and business teams to move AI prototypes into production-grade, monitored solutions
SEMANTIC LAYER (DATABRICKS)
- Design, build and maintain a governed semantic layer in Unity Catalog, including curated views, certified metric definitions and centralized business logic
- Configure and tune Databricks Genie spaces (instructions, sample queries, entity matching, naming conventions) to enable accurate natural-language querying
- Establish semantic layer standards, documentation and versioning, and validate outputs against source-of-truth systems with Finance, HR and other business owners
REQUIRED QUALIFICATIONS
- Hands-on Databricks experience (Delta Lake, Unity Catalog, Spark SQL, PySpark, Workflows) with strong SQL and Python skills
- Demonstrated experience building a semantic layer in Databricks (Unity Catalog views, metric views and/or Genie configuration)
- Experience building batch and streaming pipelines and lakehouse/medallion data models
- Experience developing REST APIs (FastAPI or Flask) with OAuth-based authentication and authorization
- Working knowledge of AI data engineering concepts: embeddings, vector search, RAG, LLM agents, context engineering and AI evaluation
- Experience with data governance, lineage, quality and security in an enterprise environment
- Experience with cloud platforms (Azure preferred) and CI/CD
PREFERRED QUALIFICATIONS
- Experience with Genie or similar text-to-SQL tools, including accuracy benchmarking
- Experience with MCP or agent frameworks for enterprise data access
This position does not provide visa sponsorship. Candidates must be authorized to work in the United States without sponsorship.
Expected compensation for this position:
Final compensation packages are determined by various considerations including but not limited to candidate qualifications, location, market conditions, and internal considerations.
Location:
On-site –Westmont, ILIf this job description resonates with you, we encourage you to apply, even if you don’t meet all the requirements. We’re interested in getting to know you and what you bring to the table!
Personalized benefits that support personal well-being and growth:
JLL recognizes the impact that the workplace can have on your wellness, so we offer a supportive culture and comprehensive benefits package that prioritizes mental, physical and emotional health. Some of these benefits include:
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