Lead Data Engineer — AI-Ready Cloud Data & Platforms

Manpower, Inc.; Westmont (IL); On-site; USD 96,000 - 103,000; Full time

Job summary

Manpower, Inc. is assisting a leading real estate and investment management client in Westmont, IL, to hire a Lead Data Engineer. The role focuses on data architecture, cloud platform modernization, and AI-ready data solutions, with a strong ownership mindset.

You will design data models, build scalable pipelines on Azure and AWS using Python, PySpark, and SQL, and deliver API services and data products for analytics across the enterprise.

Qualifications

• 7+ years of data engineering experience.
• Hands-on cloud data platform experience on Azure or AWS.
• Proficiency in PySpark and distributed data processing.
• Strong data modeling and architecture skills.
• Experience designing API services and MCP integrations.

Responsibilities

• Design and deliver data models and architecture for leasing transaction, broker, CRM, and market availability data.
• Build and optimize cloud-based pipelines and platform components on Azure and/or AWS, migrating siloed data sources into a unified, governed data layer.
• Develop robust, fault-tolerant batch and incremental data pipelines using Python/PySpark and SQL, ensuring production readiness.
• Design data products, semantic structures, and API/MCP interfaces for AI systems and analytics applications.
• Implement integration services and APIs to expose leasing data to enterprise applications and downstream consumers.

Skills

Python

SQL

PySpark

Data modeling

API development

NoSQL databases

Tools

Azure

AWS

Databricks

Data Factory

Synapse

Glue

EMR

Job description

Manpower, Inc. is assisting a leading real estate and investment management client in Westmont, IL, to hire a Lead Data Engineer. The role focuses on data architecture, cloud platform modernization, and AI-ready data solutions, with a strong ownership mindset.

You will design data models, build scalable pipelines on Azure and AWS using Python, PySpark, and SQL, and deliver API services and data products for analytics across the enterprise.