Senior Data Engineer / Databricks / AI / Chicagoland Area Motion Recruitment - 3.7 Oak Brook, IL Job Details Contract 3 days ago Benefits Health insurance Dental insurance Vision insurance Qualifications Data model design Version control Commercial use (data warehousing systems) Systems integration Data Integration (Data management) Cloud data warehouses Enterprise software SQL ETL process automation Continuous integration Integration Platforms (Enterprise solutions) DevOps automation Dimensional modeling Database software proficiency Full Job Description 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. #LI-CD1