This role pays less than
55%
of similar roles. Most pay
$149,875–$223,750
— the shaded band above.
At the midpoint, this role pays about
$180k
versus about
$187k
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
23 open roles
on FindRole.
Listed pay typically runs
$155,000–$195,000
across 18 roles with salary data.
Staff Data Engineer
The Staff Data Engineer joins the Data Engineering team to serve as a forward-deployed expert embedded with product and engineering teams. This role focuses on designing, architecting, and rapidly prototyping production-ready data and AI solutions to solve high-priority business problems. Key responsibilities include developing agentic systems, building multi-agent pipelines, implementing Model Context Protocol servers, and creating scalable data infrastructure. The candidate will utilize Python, SQL, NoSQL databases, and cloud platforms like AWS, Azure, or GCP. Technical expertise includes LangChain, LangGraph, AutoGen, CrewAI, Semantic Kernel, RAG architectures, and vector databases such as Pinecone or Weaviate. The role addresses the challenge of transforming complex data into actionable insights through automated workflows and intelligent systems, requiring a blend of high-level system architecture and hands-on engineering to deliver reliable, scalable solutions in fast-paced environments.
What does a Data Engineer earn?
Median $162000 from 195 postings across 59 companies.