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
Skills Required
- Minimum 5 years of experience in data engineering or similar role
- Bachelor's Degree
- Strong hands-on experience with Databricks
- Proficiency in SQL
- Proficiency in 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
- 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
Stellantis Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Stellantis and has not been reviewed or approved by Stellantis.
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Pay Growth & Progression — Contract-driven increases lifted hourly wages roughly 25% over 4.5 years and restored cost-of-living adjustments, pushing top rates near $42 per hour by the end of the agreement. Union hourly positions appear to have benefited most since the 2023 deal.
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Affordable Benefits — UAW-represented hourly workers pay no premiums and about 3% of total healthcare costs while receiving comprehensive medical, dental, vision, and wellness coverage. This creates materially lower out-of-pocket costs for represented hourly roles.
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Retirement Support — Post-2007 hourly hires receive a 10% employer 401(k) contribution and legacy workers saw defined-benefit improvements with retiree bonuses. Salaried roles also cite a 401(k) with employer match and contribution up to a maximum of 8%.
Stellantis Insights
What We Do
Our storied and iconic brands embody the passion of their visionary founders and today’s customers in their innovative products and services: they include Abarth, Alfa Romeo, Chrysler, Citroën, Dodge, DS Automobiles, Fiat, Jeep®, Lancia, Maserati, Opel, Peugeot, Ram, Vauxhall and mobility brands Free2move and Leasys. Powered by our diversity, we lead the way the world moves – aspiring to become the greatest sustainable mobility tech company, not the biggest, while creating added value for all stakeholders as well as the communities in which we operate.
