S

Data Engineer - Supply Chain

Accepting applications

Stellantis · Auburn Hills, MI

Full-Time Senior AIPythonmachine learning
Posted
1d ago
Category
Manufacturing
Experience
Senior
Country
United States
We are building an AI-enabled supply chain that senses, predicts, prescribes, and acts. The Data Engineer plays a critical role in enabling this vision by designing, building, and operating enterprise-grade data pipelines and analytical data products that power advanced analytics, optimization, automation, and agentic AI solutions across the Supply Chain organization.

This role focuses on production-ready data engineering-ensuring data is reliable, governed, scalable, and fit for decisioning. The Data Engineer partners closely with Data Science, AI Engineering, Automation, and Platform teams to deliver high-quality data assets embedded into operational workflows.

Responsibilities Include But Not Limited To

Design, build, and maintain scalable batch and near-real-time data pipelines supporting supply chain analytics and AI use cases
Ingest, transform, and curate data from enterprise and operational systems (ERP, planning, logistics, manufacturing, execution platforms)
Develop and maintain analytical data models and feature-ready datasets to support data science, optimization, and agentic AI workflows
Implement data quality validation, monitoring, and alerting to ensure trust and reliability of downstream analytics
Optimize data pipelines and storage for performance, cost, and scalability
Partner with data scientists and AI engineers to support model training, scoring, and deployment needs
Establish and follow best practices for data modeling, naming conventions, version control, and documentation
Ensure data solutions comply with enterprise standards for security, privacy, lineage, and governance
Support production operations, including incident investigation and root cause analysis related to data issues

Basic Qualifications

Bachelor’s in Computer Science, Information Systems, or a related field required
8+ years of professional experience in data engineering, analytics engineering, or data platform development
Strong proficiency in Python and SQL for data transformation and pipeline development
Experience designing and maintaining production-grade data pipelines and analytical data models
Hands-on experience with modern data platforms such as Databricks, Spark, Snowflake, or equivalent
Solid understanding of data quality, validation, and monitoring concepts
Experience working with structured and semi-structured data at scale
Proven ability to own production data pipelines end-to-end (design → deployment → monitoring → incident response)
Demonstrated ability to operate independently, drive technical decisions, and deliver solutions in ambiguous environments with minimal oversight
Ability to collaborate effectively with analytics, AI, and software engineering teams

Preferred Qualifications

Master’s Degree
Experience supporting machine learning or advanced analytics pipelines, including feature engineering and model scoring data
Experience with orchestration tools, CI/CD, and version control for data pipelines
Familiarity with streaming or event-driven data architectures
Experience working with supply chain, operations, manufacturing, or ERP data
Knowledge of data governance, metadata management, and lineage tools
Experience supporting BI or downstream analytics tools (e.g., Power BI) and enterprise data platforms (e.g. Palantir Foundry)

Our Benefits — Designed With You In Mind

Comprehensive Health & Well-being Coverage

From your very first day, you’ll have access to medical, dental, vision, and prescription drug coverage — ensuring you and your family stay healthy and protected. Also, our Employee Assistance Program (EAP) offers confidential support for personal and professional challenges, always ready when you need it.

Family Building Benefit

We proudly support all paths to parenthood- including fertility and infertility treatments, adoption services, and gestational surrogacy.

Generous Paid Time Off

We believe in work-life balance. That’s why we offer: 17+ paid holidays, including shut-down from December 24th through New Years Day every year. Vacation, float & wellbeing days, sick time and fully paid parental leave when your family needs you most.

Competitive Retirement Savings Plans

We Help You Plan For The Future With

An employer match on contributions to your 401k, Roth, and Catch-Up plans
An employer contribution, even if you don’t contribute

Income Protection & Insurance Options

Benefit from both employer-provided and voluntary plan offerings, including life insurance, group accident, critical illness, etc. - supporting the needs of you and your family and ensuring peace of mind.

Company Vehicle Lease Program

Eligible employees and their immediate families can participate in the company vehicle lease program, providing access to Stellantis vehicles with insurance, maintenance, and unlimited miles included. Plus, take advantage of exclusive discounts on Stellantis products.

Support for Your Growth and Giving Back

We believe in investing in your future and your passions:

Tuition reimbursement
Student loan refinancing programs
18 paid volunteer hours each year to make a difference in your community

And so much more!

When you join us, you’re not just building a career — you’re joining a company that supports you, inside and outside of work.

At Stellantis, we assess candidates based on qualifications, merit, and business needs. We welcome applications from all people without regard to sex, age, ethnicity, nationality, religion, sexual orientation, disability, or any characteristic protected by law. We believe that diverse teams reflect our identity as a global company, enabling us to better address the evolving needs of our customers and care for our future.

EOE / Disability / Veteran
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