Supply Chain Data Engineer Ii

Hybrid Full TimePennsylvania, United StatesTE Connectivity

TE is seeking a hands-on Data Engineer with 3–5 years of experience to build and support modern Supply Chain data products using Databricks, SQL/Python, and SAP data. The role will focus on data pipelines, analytics, and reporting across Purchasing, Inventory, Production Planning, and Logistics.

Requirements

  • Bachelor’s degree in Computer Science, Data Engineering, Analytics, or related field
  • 3–5 years of experience in Data Engineering or Analytics roles
  • Strong hands-on experience with Databricks, SQL, Python
  • Experience working with SAP data (MM, IM, PP, Logistics)
  • Experience with Power BI or Tableau
  • Preferred: Exposure to MLflow, feature stores, or ML pipelines, Basic understanding of AI/ML or GenAI concepts, Agile/Scrum working experience

Benefits

  • Comprehensive benefits package
  • 401(k)
  • Disability
  • Life insurance
  • Employee stock purchase plan
  • Paid time off
  • Voluntary benefits

To apply for this job please visit careers.te.com.


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