Data Engineer - Supply Chain

About the role

The Data Engineer plays a critical role in enabling an AI-enabled supply chain by designing, building, and operating enterprise-grade data pipelines and analytical data products. These assets power advanced analytics, optimization, automation, and agentic AI solutions across the Supply Chain organization. The role focuses on production-ready data engineering to ensure 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

• 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

Requirements

• Bachelor’s in Computer Science, Information Systems, or a related field
• 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

• Comprehensive health and well-being coverage (medical, dental, vision, prescription drug) from day one
• Employee Assistance Program (EAP) for confidential personal and professional support
• Family-building benefits, including fertility and infertility treatments, adoption services, and gestational surrogacy
• 17+ paid holidays, including year-end shut-down from December 24th through New Year’s Day
• Vacation, float & well-being days, sick time, and fully paid parental leave
• Competitive retirement savings plans with employer match and contribution
• Income protection and insurance options (life insurance, group accident, critical illness, etc.)
• Company vehicle lease program with access to Stellantis vehicles (insurance, maintenance, and unlimited miles included) and exclusive discounts on Stellantis products
• Tuition reimbursement and student loan refinancing programs
• 18 paid volunteer hours each year