What are the responsibilities and job description for the Senior Data Engineer / Databricks / AI / Chicagoland Area position at Motion Recruitment Partners, LLC?
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
Tech Breakdown
Daily Responsibilities
The Offer
Applicants must be currently authorized to work in the US on a full-time basis now and in the future.
#LI-CD1
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
- 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
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
- 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
Salary : $60 - $75