below marketmost similar roles pay hereabove market
This role pays less than
52%
of similar roles. Most pay
$126,800–$202,120
— the blue band above.
At the midpoint, this role pays about
$160k
versus about
$164k
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
41 open roles
on FindRole.
Listed pay typically runs
$168,500–$205,000
across 28 roles with salary data.
The Senior Data Engineer joins the Data Engineering team to serve as a Forward Deployed Data Engineer, embedded directly with product and engineering teams. This role focuses on designing, architecting, and deploying data-driven solutions and AI agents to solve high-priority business problems. You will build production-ready prototypes, develop multi-agent systems, and create scalable data pipelines, APIs, and backend services. Key technologies include Python, SQL, NoSQL databases, and cloud platforms like AWS, Azure, or GCP. You will utilize frameworks such as LangChain, LangGraph, AutoGen, CrewAI, or Semantic Kernel, while implementing MCP servers. The role requires expertise in RAG architectures, vector databases, and ETL/ELT processes to transform complex data into intelligent solutions that power enterprise-wide decisions and automate workflows within the real estate and investment management domain.
What does a Data Engineer earn?
Median $159000 from 203 postings across 58 companies.
Python
SQL
PySpark
Delta Lake
Delta Sharing
Azure
Databricks
Unity Catalog
CI/CD
Data Contracts
Data Modeling
Schema Governance
Data Quality
Event Hubs
Azure Data Factory
Data Mesh
Data Lineage