Data Engineer / Databricks / AI / Chicagoland Area

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., 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

• 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