Staff Data Engineer: Robotics & Digital Surgery Surgical Robotics - Ottava

Johnson & Johnson

Santa Clara, California, United States of America
Base: $118,000.00 to $179,035.50; bonus/equity: no...
Onsite
Databricks (spark, delta lake, workflows)
Python/pyspark
Aws s3
As a Staff Data Engineer, you will set up and deliver the data foundations that connect shop-floor systems to Cloud solutions with Data storage

Job Summary

  • As a Staff Data Engineer, you will set up and deliver the data foundations that connect shop-floor systems to Cloud solutions with Data storage.
  • You will 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.
  • Employees are eligible to participate in the Company’s consolidated retirement plan (pension) and savings plan (401(k)) and are eligible for various time off benefits.

Matching Summary

As a Staff Data Engineer, you will set up and deliver the data foundations that connect shop-floor systems to Cloud solutions with Data storage.

Salary

Base: $118,000.00 to $179,035.50; Bonus/Equity: Not specified; Benefits: medical, dental, vision, life insurance, disability, retirement plan, savings plan, long-term incentive program, vacation, sick time, holiday pay, work/personal/family 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)
  • Data quality and observability
  • Computer systems validation

Nice-to-have

  • real-time streaming
  • ML integration for manufacturing
  • ISA-95 architecture
  • Unified Naming Space
  • Agile methodologies

Key Requirements

  • 7+ years of data engineering experience
  • Bachelor’s or Master’s in Computer Science, Engineering, Data Science
  • Hands-on experience in cloud data platforms
  • Proven skills with data governance, data quality frameworks, data lineage, and validation/compliance
  • Strong written and verbal communication

Work Rights

Not specified

Tailored Resume

Cover Letter