TC
Data Engineer
TE Connectivity
Remote (Global) Full-time Mid Level $95k – $118k/yr 1mo ago
About the role
About
We are 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.
Responsibilities
- Work closely with the Data Engineering Manager to understand requirements and deliver assigned backlog items.
- Build and maintain ELT pipelines and data models in Databricks using Delta Lake and dbt.
- Ingest and harmonize SAP data (MM, IM, PP, LE) for analytics and reporting use cases.
- Develop KPI datasets and dashboards related to supplier performance, inventory health, production schedules, and logistics visibility.
- Perform data analysis to support Supply Chain decision-making.
- Prepare ML-ready datasets and support Data Science teams with feature creation.
- Support basic AI/ML and Agentic AI initiatives (data preparation, monitoring, automation support).
- Ensure data quality checks, documentation, and adherence to data governance standards.
Qualifications
- 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.
Competencies
Values: Integrity, Accountability, Inclusion, Innovation, Teamwork
COMPENSATION
- Competitive base salary commensurate with experience: $94,800 – $118,500 (subject to change dependent on physical location)
- Posted salary ranges are made in good faith. TE Connectivity reserves the right to adjust ranges depending on the experience/qualification of the selected candidate as well as internal and external equity.
- Total Compensation = Base Salary + Incentive(s) + Benefits
BENEFITS
- A comprehensive benefits package including health insurance, 401(k), disability, life insurance, employee stock purchase plan, paid time off and voluntary benefits.
Job Locations
680 E. Swedesford Road Suite 100 and 200 Wayne, Pennsylvania 19087 United States
Posting City: Wayne Job Country: United States Travel Required: Less than 10% Requisition ID: 152249 Workplace Type: Remote External Careers Page: Information Technology
Skills
DatabricksDelta LakedbtMLflowPower BIPythonSAPSQLTableau
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