Senior Data Engineer / Databricks / AI / Chicagoland Area

By myKelly | August 18, 2026

Senior Data Engineer / Databricks / AI / Chicagoland Area

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Job ID: mrp-885362

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Oak Brook, IL, US

Engineering

Contract,

$60 - $75

On-site

Other/Non Classified

Oak Brook, IL, US

$60 - $75

Contract,

Other/Non Classified

On-site

Engineering

Apply On Motion Recruitment Applied

Job details

A rapidly growing enterprise organization in the automotive technology and distribution space is seeking a Data Engineer to join its team in Oak Brook, Illinois. This full-time role offers the opportunity to build scalable cloud-based data solutions that support analytics, operational reporting, machine learning, and AI initiatives. The ideal candidate will have experience with Python, SQL, modern data platforms, and enterprise-scale ETL development.

What makes this opportunity stand out is the chance to help modernize a complex data ecosystem that spans cloud platforms, APIs, operational applications, and legacy databases. The organization is making substantial investments in data-driven decision making and artificial intelligence, creating an environment where engineers can influence architecture, work with cutting-edge technologies, and make a measurable business impact. This is an ideal role for professionals who enjoy solving large-scale data challenges while collaborating with cross-functional stakeholders.

Required Skills & Experience

  • 4+ years of Data Engineering experience
  • Strong SQL development expertise
  • Python or Scala programming experience
  • Experience building ETL/ELT pipelines
  • Hands-on experience with Snowflake, Databricks, Redshift, or BigQuery
  • Knowledge of data warehousing concepts and dimensional modeling
  • Experience with orchestration platforms such as Airflow, Prefect, or Dagster
  • Understanding of CI/CD practices and version control
  • Experience integrating data from APIs and enterprise applications

Desired Skills & Experience

  • AWS cloud experience
  • Experience with Kafka or Kinesis
  • Streaming data architecture
  • AI/ML data pipeline exposure
  • Supply chain, ERP, or CRM integration experience
  • Data observability and monitoring tools
  • Enterprise-scale data modernization projects
  • Master’s degree in Computer Science, Engineering, or related field

What You Will Be Doing
Tech Breakdown

  • 40% Python Development
  • 30% SQL & Data Engineering
  • 20% Cloud Data Platforms (Snowflake/Databricks/AWS)
  • 10% Data Orchestration & Automation

Daily Responsibilities

  • 75% Hands On Engineering
  • 15% Team Collaboration
  • 10% Strategic Architecture & Design

The Offer

  • Competitive Salary

You will receive the following benefits:

  • Medical, Dental, and Vision Insurance

Applicants must be currently authorized to work in the US on a full-time basis now and in the future.

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