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Senior Data EngineerJLL • Westmont, California, United States
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Senior Data Engineer

JLL
  • US
    Westmont, California, United States
  • US
    Westmont, California, United States
Jetzt Bewerben

Über

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.
About JLL and Data Engineering JLL is a leading professional services firm that specializes in real estate and investment management. Our vision is to reimagine the world of real estate, creating rewarding opportunities and amazing spaces where people can achieve their ambitions. In doing so, we will build a better tomorrow for our clients, our people, and our communities.
The Data Engineering team at JLL sits at the intersection of technology and business impact, building the data foundations and intelligent solutions that power decisions across the enterprise. We move fast, think big, and deliver production-grade platforms that transform how JLL operates - combining deep technical expertise with a relentless focus on solving real problems for real users.
Role Overview As a Forward Deployed Data Engineer, you will be embedded directly with product, program, and engineering teams to design, architect, prototype, and deploy data-driven solutions that solve high-priority business problems. This is not a traditional engineering role with long delivery cycles. You will be expected to go from concept to working prototype in days, not months, while maintaining enterprise-grade standards for quality, security, and scalability.
You bring a strong combination of skills: solution design and architecture experience, deep hands‑on engineering across data and AI agents, and the interpersonal skills to earn trust, drive alignment and collaborate effectively across teams. You are equally comfortable whiteboarding a system architecture with stakeholders and writing production code the same afternoon. You have genuine curiosity about the why and what behind every problem – not just the how – and you thrive in fast, ambiguous environments where creative thinking and execution speed both matter.
Solution Design & Architecture
Drive solution design for complex, cross‑functional data and AI problems – from initial discovery through to technical blueprint
Define and communicate architecture decisions, trade‑offs, and delivery approaches to both technical and non‑technical audiences
Design scalable, modular systems that balance the need for speed with enterprise standards for reliability, security, and maintainability
Participate in architecture reviews and Critical Design Reviews (CDRs), ensuring alignment with enterprise patterns and platform standards
Create clear technical documentation: architecture diagrams, data flow maps, API contracts, and solution briefs
Rapid Prototyping & Solution Delivery
Design and deliver working prototypes for complex data and AI problems within compressed timeframes, often days to weeks
Bring genuine curiosity to every engagement – deeply understanding the business case, problem context, and constraints before converging on a solution
Balance speed of delivery with enterprise standards – your prototypes are production‑ready, not throwaway
Continuously iterate on solutions based on direct feedback from product managers, program leads, and end users
AI Agent Development & Agentic Systems
Design, build, and deploy AI agents and multi‑agent systems that automate complex workflows end‑to‑end
Develop and maintain agent skills – discrete, reusable capabilities that compose into larger agentic pipelines
Implement and extend MCP (Model Context Protocol) servers and clients to connect AI agents with enterprise tools, APIs, and data sources
Build agent orchestration layers using frameworks such as LangChain, LangGraph, AutoGen, CrewAI, or Semantic Kernel
Design evaluation harnesses, guardrails, and monitoring pipelines to ensure agent reliability and safety in production
Stay current with the rapidly evolving agentic AI landscape and proactively introduce new techniques and tooling to the team
AI & Data Engineering
Build and deploy AI‑powered features and pipelines that automate workflows, surface insights, and enhance decision‑making
Design and implement scalable data pipelines, APIs, and backend services that serve both internal tools and customer‑facing products
Integrate LLMs, RAG systems, and ML models into production data workflows
Own data modeling, transformation, and quality across the solutions you deliver
Collaboration & Stakeholder Engagement
Embed directly with product, program, and engineering teams to co‑define problems and co‑deliver solutions
Contribute to technical direction and help build alignment across teams through strong communication and collaboration
Communicate complex technical concepts clearly to non‑technical business stakeholders – in writing, in meetings, and in presentations
Support and mentor junior engineers, sharing patterns and practices for agentic development, prompt design, and rapid delivery
Foster a collaborative, low‑ego team culture where speed and quality go hand in hand
Qualifications Required
4+ years of professional software or data engineering experience, including hands‑on solution design and architecture contributions
Experience designing and delivering end‑to‑end data and AI systems – from requirements through deployment – with clear documentation and stakeholder communication
Hands‑on experience building AI agents, including defining agent skills, tool use, memory, and multi‑step reasoning
Working knowledge of MCP (Model Context Protocol) – including building or consuming MCP servers to connect agents with external systems
Experience with agentic frameworks such as LangChain, LangGraph, AutoGen, CrewAI, or Semantic Kernel
Strong hands‑on experience with data engineering: pipelines, ETL/ELT, data modeling, SQL and NoSQL databases
Proficiency in Python
Experience with cloud platforms (AWS, Azure, or GCP) and modern data stack tooling
Exceptional communication and interpersonal skills – you can earn trust quickly, navigate ambiguity, and drive alignment across diverse teams
Comfort working in fast‑paced environments with shifting priorities and high ownership expectations
Preferred
Experience with RAG architectures, vector databases (Pinecone, Weaviate, pgvector), and semantic search – including building end‑to‑end data pipelines that chunk, embed, and index unstructured content for retrieval
Familiarity with prompt engineering, fine‑tuning, and LLM evaluation techniques
Experience with agent observability and tracing tools (LangSmith, Arize, Weights & Balance, or similar)
Experience with AWS AgentCore – building, deploying, and operating agents on the platform
Knowledge of data orchestration tools (Airflow, Prefect, or dbt)
Experience with containerization and CI/CD practices (Docker, Kubernetes, GitHub Actions)
Background in real estate, financial services, or other data‑intensive enterprise domains
Experience facilitating technical discovery workshops, design sprints, or architecture reviews
Contributions to open‑source agentic or data projects, or a portfolio demonstrating rapid, creative problem‑solving
This position does not provide visa sponsorship. Candidates must be authorized to work in the United States without sponsorship.
Estimated compensation for this position 140,000.00 – 180,000.00 USD per year
This range is an estimate and actual compensation may differ. Final compensation packages are determined by various considerations including but not limited to candidate qualifications, location, market conditions, and internal considerations.
Location:
On‑site – Chicago, IL, 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
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 are 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.
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  • Westmont, California, United States

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  • English
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