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Staff Data Engineer: Robotics & Digital Surgery - OTTAVA

Johnson & Johnson
Santa Clara, United Statesfull_timeVerifiedPosted 3 Apr 2026
💰 $179,036/yr($118,000/yr$179,036/yr)

About the role

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at jnj.com

As guided by Our Credo, Johnson & Johnson is responsible to our employees who work with us throughout the world.  We provide an inclusive work environment where each person is considered as an individual.  At Johnson & Johnson, we respect the diversity and dignity of our employees and recognize their merit.

Job Function:

Supply Chain Engineering

Job Sub Function:

Automation Engineering

Job Category:

Scientific/Technology

All Job Posting Locations:

Santa Clara, California, United States of America

Job Description:

Johnson & Johnson RAD (Robotics and Digital) is seeking for a Staff Data Engineer – OTTAVA, for our Santa Clara, Location

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at jnj.com 

As guided by Our Credo, Johnson & Johnson is responsible to our employees who work with us throughout the world. We provide an inclusive work environment where each person is considered as an individual. At Johnson & Johnson, we respect the diversity and dignity of our employees and recognize their merit. 

About MedTech Surgery 

Fueled by innovation at the intersection of biology and technology, we’re developing the next generation of smarter, less invasive, more personalized treatments. 

Are you passionate about improving and expanding the possibilities of surgery? Ready to join a team that’s reimagining how we heal? Our Surgery team will give you the chance to deliver surgical technologies and solutions to surgeons and healthcare professionals around the world. Your contributions will help effectively treat some of the world’s most prevalent conditions such as obesity, cardiovascular disease and cancer. Patients are waiting. 

Your unique talents will help patients on their journey to wellness. Learn more at https://www.jnj.com/medtech 

Purpose:

Johnson & Johnson RAD (Robotics and Digital) is seeking a highly accomplished Staff Data Engineer, Digital Manufacturing to drive advanced data strategies and initiatives across Manufacturing and Supply Chain operations. As a Staff Data Engineer, you will setup and deliver the data foundations that connect shop-floor systems to Cloud solution with Data storage. You are part of the Digital Manufacturing capability — enabling real-time insights, advanced analytics, and smart, compliant operations. You’ll partner across Manufacturing engineering, Operations, Quality, J&J Technology and R&D to architect secure, validated data pipelines and models that scale.

Key Responsibilities 

  • Own data architecture and integration strategy for asset and configuration data across discovery systems, provisioning tools, cloud platforms, monitoring systems, and internal services. 
  • 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 (robot logs, telemetry) into analytics-ready datasets with defined SLAs for freshness, throughput, and availability. 
  • Build scalable, reliable batch and streaming data pipelin

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Company

Johnson & Johnson

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