Staff Data Engineer

JLL (Jones Lang LaSalle)

Quick summary

Work type: On-site
Location: Chicago, IL
Salary: $162,700–$199,300 / yr
Posted: 1 day ago

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $185k

This role $181k

$131k most similar roles pay here $230k

This role pays more than 52% of similar roles. Most pay $152,955–$217,181 — the shaded band above. At the midpoint, this role pays about $181k versus about $185k for comparable roles.

Based on 240 similar postings.

Employer

About JLL (Jones Lang LaSalle)

JLL (Jones Lang LaSalle) is a global professional services firm specializing in real estate and investment management, providing services to buyers, sellers, tenants, landlords, investors, and developers. Industry: Commercial Real Estate Services

JLL (Jones Lang LaSalle) currently has 78 open roles on FindRole.

Listed pay typically runs $140,000–$180,000 across 47 roles with salary data.

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View all roles at JLL (Jones Lang LaSalle)

At a glance

TL;DR · Staff Data Engineer

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As a Forward Deployed Data Engineer at JLL’s Data Engineering team, you will work closely with product and engineering teams to rapidly design, prototype, and deploy data-driven solutions that address critical business challenges. This role requires designing scalable systems while maintaining enterprise standards for quality, security, and scalability, and involves creating working prototypes within tight deadlines. You will leverage Python, cloud platforms like AWS or Azure, and modern data stack tools such as LangChain and Pinecone to build AI agents and agentic systems that automate complex workflows. Essential skills include solution design, hands-on AI agent development, and strong communication abilities to influence stakeholders without formal authority. Ideal candidates have experience in real estate or financial services and a background in rapid prototyping and scalable data engineering.

Skills

Python AWS Azure GCP LangChain LangGraph AutoGen CrewAI SemanticKernel MCP Docker Kubernetes GitHub Actions Airflow Prefect dbt Pinecone SQL NoSQL CI/CD Prometheus Grafana

What you'll do

Lead solution design and architecture for complex data and AI problems.
Design and deliver working prototypes within compressed timeframes.
Develop and deploy AI agents and multi-agent systems for automation.
Build scalable data pipelines and APIs serving internal tools and products.
Communicate technical concepts clearly to non-technical business stakeholders.

What we're looking for

6+ years of professional software or data engineering experience with solution design and architecture ownership.
Demonstrated ability to architect end-to-end data and AI systems from requirements through deployment.
Hands-on experience building AI agents, including defining agent skills and using agentic frameworks like LangChain.
Strong hands-on experience in data engineering: pipelines, ETL/ELT, data modeling, SQL and NoSQL databases.
Proficiency in Python and working knowledge of cloud platforms (AWS, Azure, or GCP).
Exceptional communication and interpersonal skills for stakeholder engagement and alignment.

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