Data Engineer - Vehicle Configuration Optimization

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

We are seeking a Data Engineer to help build and scale the data foundation for our Vehicle Configuration Optimization (VCO) initiative. This role will focus on ingesting, transforming, and structuring data from enterprise systems (e.g., Snowflake data lake) into Databricks, enabling advanced analytics and modeling downstream.

This is an ideal role for an early-to-mid career engineer who thrives in building reliable, scalable data systems and wants to work at the intersection of automotive data and advanced analytics.

Key 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

Basic Qualifications

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

Preferred Qualifications

• Experience with Snowflake and data lake architectures
• Exposure to automotive, connected vehicle, or IoT datasets
• Experience with Spark / PySpark
• Familiarity with pipeline orchestration and monitoring tools

Understanding of downstream analytics or ML use cases