Data Engineer — Vehicle Configuration Analytics Databricks

Stellantis NV; Auburn (AL); On-site; USD 90,000 - 130,000; Full time

Job summary

Stellantis NV in Auburn, Alabama is seeking a Data Engineer to build and scale the data foundation for the Vehicle Configuration Optimization initiative. You will ingest from Snowflake into Databricks, implement medallion architecture, and partner with data scientists to enable analytics and ML use cases.

The role targets an early-to-mid career engineer who thrives on reliable, scalable data systems and hands-on cloud data engineering in a fast-paced automotive environment.

Qualifications

• Minimum 5 years of experience in data engineering or similar role.
• Bachelor’s degree in a relevant field.
• Hands-on Databricks experience is required.
• Proficiency in SQL and Python.
• Experience building and maintaining data pipelines and ETL processes.
• Familiarity with cloud data platforms (Azure preferred, AWS/GCP acceptable).
• Solid understanding of data modeling and medallion architecture concepts.

Responsibilities

• Build and maintain data pipelines ingesting data from Snowflake into Databricks.
• Design transformations aligned to the medallion architecture (Bronze/Silver/Gold).
• 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 ML 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

ETL/ELT pipelines

Data modeling

Cloud data platforms

Education

Bachelor's degree

Tools

Snowflake

Spark/PySpark

Azure

AWS/GCP

Job description

Stellantis NV in Auburn, Alabama is seeking a Data Engineer to build and scale the data foundation for the Vehicle Configuration Optimization initiative. You will ingest from Snowflake into Databricks, implement medallion architecture, and partner with data scientists to enable analytics and ML use cases.

The role targets an early-to-mid career engineer who thrives on reliable, scalable data systems and hands-on cloud data engineering in a fast-paced automotive environment.