Data Engineer - Supply Chain

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