Data Engineer - Vehicle Configuration Analytics (Databricks)

Stellantis; Auburn Hills (MI); On-site; USD 100,000 - 130,000; Full time

Benefits offered by this job

Health & Wellbeing Coverage

Family Building Benefit

Generous Paid Time Off

Competitive Retirement Savings Plans

Income Protection & Insurance Options

Company Vehicle Lease Program

Growth & Giving Back

Volunteer Hours

Job summary

Stellantis in Auburn Hills is seeking a Data Engineer to build and scale the data foundation for the Vehicle Configuration Optimization initiative. You will ingest, transform, and structure data from enterprise sources (e.g., Snowflake data lake) into Databricks to enable analytics and modeling downstream.

Ideal for an early‑to‑mid‑career engineer who thrives on reliable, scalable data systems at the intersection of automotive data and advanced analytics.

Qualifications

• Minimum 5 years of experience in data engineering or a similar role.
• Bachelor's Degree.
• Strong hands-on experience with Databricks (critical requirement).
• Proficiency in SQL and Python.
• Experience building and maintaining data pipelines and ETL/ELT processes.
• Familiarity with cloud data platforms (Azure preferred, but AWS/GCP acceptable).
• Solid understanding of data modeling and medallion architecture concepts.

Responsibilities

• Build and maintain data pipelines that ingest data from Snowflake into Databricks
• Design and implement data transformations aligned to the medallion architecture (Bronze/Silver/Gold layers)
• Ensure pipeline health, stability, monitoring, and performance optimization
• Develop robust ETL/ELT workflows using Python and SQL
• Create clean, curated datasets to support analytics, simulation, and machine learning use cases
• Partner closely with data scientists, analysts, and business stakeholders to understand data needs
• Implement data quality checks, validation processes, and governance standards

Skills

Databricks

SQL

Python

Snowflake

Data pipelines

ETL/ELT

Medallion architecture

Education

Bachelor's degree

Tools

Databricks

Snowflake

Spark/PySpark

Job description

Stellantis in Auburn Hills is seeking a Data Engineer to build and scale the data foundation for the Vehicle Configuration Optimization initiative. You will ingest, transform, and structure data from enterprise sources (e.g., Snowflake data lake) into Databricks to enable analytics and modeling downstream.

Ideal for an early‑to‑mid‑career engineer who thrives on reliable, scalable data systems at the intersection of automotive data and advanced analytics.