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Senior Data Engineer

  • Senior Data Engineer job type Posted on: Nov 02, 2026
  • Senior Data Engineer experience level TechNET
  • Senior Data Engineer employment type Chicago, Illinois
  • Senior Data Engineer employment type Onsite
  • Senior Data Engineer salary Full-time

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Job Title :

Senior Data Engineer

Job Type :

Full-Time

Job Location :

Chicago Illinois United States

Remote :

No

Jobcon Logo Job Description :

Role: Data EngineerEngagement: Fixed-term contractLocation: Chicago, IL (hybrid)About the RoleThe role will design and deliver data pipelines, data model and AI-ready data products for our Leasing data platform, with structured deliverables.ResponsibilitiesDesign and deliver data pipelines for the Leasing data platform.Design and deliver data models for the Leasing data platform.Design and deliver AI-ready data products for the Leasing data platform.Provide structured deliverables related to data engineering and platform integration.Qualifications7+ years in data engineering / Big Data, with multiple large, complex project deliveries.Required SkillsStrong hands-on Azure or AWS experience (Databricks, ADF, Synapse, Glue, EMR).Advanced Python, SQL, and PySpark/Spark at scale.Solid data modeling and architecture background (SQL and NoSQL).Experience building APIs and integrating data platforms with downstream apps.Exposure to LLM/agentic workflows, RAG, or MCP integrations is a strong plus.

Jobcon Logo Position Details

Posted:

Nov 02, 2026

Reference Number:

10440_4476043195

Employment:

Full-time

City:

Chicago

Job Origin:

APPCAST_CPC

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Role: Data EngineerEngagement: Fixed-term contractLocation: Chicago, IL (hybrid)About the RoleThe role will design and deliver data pipelines, data model and AI-ready data products for our Leasing data platform, with structured deliverables.ResponsibilitiesDesign and deliver data pipelines for the Leasing data platform.Design and deliver data models for the Leasing data platform.Design and deliver AI-ready data products for the Leasing data platform.Provide structured deliverables related to data engineering and platform integration.Qualifications7+ years in data engineering / Big Data, with multiple large, complex project deliveries.Required SkillsStrong hands-on Azure or AWS experience (Databricks, ADF, Synapse, Glue, EMR).Advanced Python, SQL, and PySpark/Spark at scale.Solid data modeling and architecture background (SQL and NoSQL).Experience building APIs and integrating data platforms with downstream apps.Exposure to LLM/agentic workflows, RAG, or MCP integrations is a strong plus.

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