Job description

JLL empowers you to shape a brighter way . 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: 150,000.00 – 150,000.00 USD per year 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, IL If 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: 401(k) plan with matching company contributions Comprehensive Medical, Dental & Vision Care Paid parental leave at 100% of salary Paid Time Off and Company Holidays Early access to earned wages through Daily Pay At JLL, we harness the power of artificial intelligence (AI) to efficiently accelerate meaningful connections between candidates and opportunities. Using AI capabilities, we analyze your application for relevant skills, experiences, and qualifications to generate valuable insights about how your unique profile aligns with the specific requirements of the role you re pursuing. JLL Privacy Notice Jones Lang LaSalle (JLL), together with its subsidiaries and affiliates, is a leading global provider of real estate and investment management services. We take our responsibility to protect the personal information provided to us seriously. Generally the personal information we collect from you are for the purposes of processing in connection with JLL’s recruitment process. We endeavour to keep your personal information secure with appropriate level of security and keep for as long as we need it for legitimate business or legal reasons. We will then delete it safely and securely. For more information about how JLL processes your personal data, please view our Candidate Privacy Statement . For additional details please see our career site pages for each country. For candidates in the United States, please see a full copy of our Equal Employment Opportunity policy here . Jones Lang LaSalle (“JLL”) is an Equal Opportunity Employer and is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process – including the online application and/or overall selection process – you may email us at HRSCLeaves jll.com . This email is only to request an accommodation. Please direct any other general recruiting inquiries to our Contact Us page > I want to work for JLL. Pursuant to the Arizona Civil Rights Act, criminal convictions are not an absolute bar to employment. Pursuant to Illinois Law, applicants are not obligated to disclose sealed or expunged records of conviction or arrest. Pursuant to Columbia, SC ordinance, this position is subject to a background check for any convictions directly related to its duties and responsibilities. Only job-related convictions will be considered and will not automatically disqualify the candidate. California Residents only If you are a California resident as defined in the California Consumer Privacy Act (CCPA) please view our Supplemental Privacy Statement which describes your rights and disclosures about your personal information. If you are viewing this on a mobile device you may want to view the CCPA version on a larger device. Pursuant to the Los Angeles Fair Chance Initiative for Hiring Ordinance, JLL will consider for employment all qualified Applicants, including those with Criminal Histories, in a manner consistent with the requirements of applicable state and local laws, including the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Accepting applications on an ongoing basis until candidate identified.

Requirements

Must-haves

JLL empowers you to shape a brighter way .
Senior Data Engineer (P3)
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
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
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
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

Nice-to-haves

Experience with cloud platforms (Azure preferred) and CI/CD
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.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aiagileapisqlpythonrestllmazureci/cd

Platform: workday
Effort: long

Benefits

Benefits detected in the listing.

Dental

Vision

401(K)

Paid Time Off

Parental Leave

Wellness