Data Engineer / Databricks / AI / Chicagoland Area

Motion Recruitment Partners LLC.

Oak Brook, IL, United States

2 months ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

4 years minimum

Working hours

Regular working hours

Job source

www.dice.com

Tech stack

Application Programming Interfaces (APIs) Artificial Intelligence Airflow Amazon Web Services Data Analysis Big Data BigQuery Databases Continuous Integration Information Engineering Data Infrastructure Data Integration

+21 more

Extract Transform Load (ETL) Data Transformation Data Warehousing Decision Support Systems Dimensional Modeling Monitoring of Systems Python (Programming Language) Machine Learning Cloud Services DataOps SQL Databases Data Streaming Enterprise Software Applications Snowflake Kubernetes Information Technology Apache Kafka Software Version Control Data Pipelines Amazon Redshift Databricks

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., 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

Requirements

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

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