Stellantis
Data Engineer - Supply Chain
Auburn Hills, Michigan, USA · full-time
Sponsorship not specifiedDetected 69 days ago
PythonSQLSnowflakeDatabricksCI/CDMachine LearningSparkData EngineeringData ScienceData VisualizationAgentic AIIncident ResponseSupply ChainLogisticsERP
About the role
- This role focuses on production-ready data engineering-ensuring data is reliable, governed, scalable, and fit for decisioning.
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
- We are building an AI-enabled supply chain that senses, predicts, prescribes, and acts.
- The Data Engineer partners closely with Data Science, AI Engineering, Automation, and Platform teams to deliver high-quality data assets embedded into operational workflows.
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