Job Summary

• Drive advanced data strategies and initiatives across Manufacturing and Supply Chain operations by setting up and delivering data foundations that connect shop-floor systems to Cloud solutions.
• Design, implement, and operate ETL/ELT pipelines using Databricks, Python/PySpark, and AWS S3 to ingest, normalize, validate, reconcile, and serve manufacturing data into analytics-ready datasets.
• Ensure compliance with J&J Technology standards, computer systems validation, and audits, while supporting data governance including standards, lineage, quality checks, and role-based access.

Matching Summary

Salary

$118,000.00 to $179,035.50; Not specified; Medical, dental, vision, life insurance, disability, retirement plan, long-term incentive program, vacation, sick time, holidays, parental leave

Skills & Requirements

Key Requirements

• 7+ years data engineering experience
• Bachelor's or Master's degree
• Hands-on cloud data platforms experience
• Experience with data governance, quality, lineage, and validation/compliance
• Agile methodologies experience

Work Rights