Staff Data Engineer/surgical Robotics - Ottava

Johnson & Johnson

Santa Clara, California, United States of America
Base: $118,000.00 to $179,035.50; bonus/equity: no...
On-site
Databricks (spark, delta lake, workflows)
Python/pyspark
Aws s3
Johnson & Johnson is seeking a Staff Data Engineer for their surgical robotics division in Santa Clara, California. The role focuses on driving advanced data strategies and requires extensive experience in data engineering, particularly with cloud platforms and data integration

Job Summary

  • As a Staff Data Engineer, you will set up and deliver the data foundations that connect shop-floor systems to Cloud solution with Data storage.
  • Design, implement, and operate ETL/ELT pipelines using Databricks (Spark, Delta Lake, Workflows), Python/PySpark, and AWS S3 to ingest, normalize, validate, reconcile, and serve manufacturing data.
  • Ensure compliance with J&J Technology standards, computer systems validation, and audits; author validation documentation.

Matching Summary

Match Score: 85

Johnson & Johnson is seeking a Staff Data Engineer for their surgical robotics division in Santa Clara, California. The role focuses on driving advanced data strategies and requires extensive experience in data engineering, particularly with cloud platforms and data integration.

Salary

Base: $118,000.00 to $179,035.50; Bonus/Equity: Not specified; Benefits: Medical, dental, vision, life insurance, disability, pension, 401(k), long-term incentive program, vacation, sick time, holidays, personal time, parental leave, condolence leave, caregiver leave, volunteer leave, military spouse time-off

Skills & Requirements

Must-have

  • Databricks (Spark, Delta Lake, Workflows)
  • Python/PySpark
  • AWS S3
  • ETL/ELT pipelines
  • OT data sources (OPC UA, MQTT, MES)

Nice-to-have

  • MedTech Compliance and data practices
  • Lakehouse patterns
  • Real-time streaming
  • ML integration for manufacturing analytics

Key Requirements

  • 7+ years of data engineering experience
  • Bachelor’s or Master’s in Computer Science, Engineering, Data Science
  • Experience integrating OT data sources
  • Proven skills with data governance, data quality frameworks, data lineage, and validation/compliance

Work Rights

Not specified

Tailored Resume

Cover Letter