Data Engineer Supply Chain

< Back to Search Results Data Engineer -

Supply Chain Job ID:

2016872

Career Area:

Supply Chain Position Type:

Salaried Location:

Headquarters & Technology Center - Auburn Hills 48326 ,

US Date Posted:

April 16, 2026

Brand:

FCA Group Apply Refer A Friend Share this job Share on Facebook Share on Twitter Share on Linkedin Share by Mail https://recruiting.adp.com/srccar/public/RTI.home?r=5001190715706&c=2183219&d=ExternalCareerSite&rb=??? You are being redirected Once you are on the page, please click the refer button Job Overview Qualifications Benefits Job Overview 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

Qualifications 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) Benefits Salaried Employee Benefits (US, Non-Represented) Health & Wellbeing Comprehensive coverages encompassing the Physical, Mental, Emotional, and overall Wellbeing of our employees, including short- and long-term disability. Compensation, Savings, and Retirement Annual Incentive Plan (SAIP), 401k with Employer Match & Contribution (max 8%), SoFi Student Loan Refinancing. Time Away from Work Paid time includes company holidays, vacation, and Float/Wellbeing Days. Family Benefits 12 Weeks paid Parental Leave, Domestic Partner Benefits, Family Building Benefit, Marketplace, Life/Disability and other Insurances. Professional Growth Annual training, tuition reimbursement and discounts, Business Resource & Intra-professional Groups. Company Car & More Comprehensive Company Car Program and Vehicle Discounts. Vehicle discounts include family and friends. EOE/Disability/Veteran 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. Our benefits reflects the

STELLANTIS

commitment to helping you reach your personal and professional goals. In addition to an environment that promotes career development, we offer benefits for a healthy lifestyle and a rewarding future, designed to take care of you and your family, in various stages of life. As a global company, our employee packages will vary by country, customary norms and the legal entity into which you are hired. We care about your privacy. For more information on how your personal data is processed, please read the specific Privacy Statement provided by the respective entities whose job offer you have selected. Apply Join our Talent Community Create a talent profile to receive relevant job alerts and the latest company news! If you're a U.S. Veteran, please sign up through our Veterans Recruiting Program page. Create a Talent Profile Sign into your profile