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Data Engineer

Job in Raritan, Somerset County, New Jersey, 08869, USA
Listing for: Johnson & Johnson MedTech
Full Time position
Listed on 2026-09-14
Job specializations:
  • Business
    Regulatory Compliance Specialist
Salary/Wage Range or Industry Benchmark: 94000 - 151800 USD Yearly USD 94000.00 151800.00 YEAR
Job Description & How to Apply Below
Position: Staff Data Engineer

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 Med Tech, 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

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

Data Analytics & Computational Sciences

Job Sub Function

Data Engineering

Job Category

Scientific/Technology

All Job Posting Locations

Mooresville, Indiana, United States of America, Palm Beach Gardens, Florida, United States of America, Raritan, New Jersey, United States of America, Raynham, Massachusetts, United States of America, Warsaw, Indiana, United States of America, West Chester, Pennsylvania, United States of America

Job Description

Orthopedics Supply Chain is recruiting for a Staff Data Engineer located in Raynham, MA;
Raritan, NJ;
Palm Beach Gardens, FL;
Mooresville, IN;
Warsaw IN;
Cork, IE;

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 Med Tech, 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

Please note that this role is available across multiple countries and may be posted under different requisition numbers to meet local requirements. While you are welcome to apply to any or all of the postings, we recommend focusing on the country(s) that align with your preferred location(s):

  • [Ireland] – Req.# R-096921

Whether you apply to one or several, your applications will be considered as a single submission.

Johnson & Johnson announced plans to separate its Orthopedics business into a standalone company, operating as DePuy Synthes. The planned separation is anticipated to be completed within 18 to 24 months, subject to legal requirements (including consultation with works councils and other employee representative bodies, as may be required), regulatory approvals, and other customary conditions and approvals.

Should you accept this position, it is anticipated that, following the transaction, you would join DePuy Synthes, and your employment would be governed by its employment processes, programs, policies, and benefit plans. Details of any planned changes would be shared at an appropriate time and subject to any necessary consultation processes.

What's in it for you?

In this role, you will play a pivotal technical leadership role in building the modern data foundation that powers digital products across the Orthopaedics Supply Chain. You will help design lakehouse architecture on Databricks and AWS while enabling governed, reusable, business-ready data products for analytics, reporting, AI, and operational decision-making.

The role suits an expert professional who can lead across solution architecture, pipeline design, engineering standards, and cross-team delivery. You will work closely with Product Owners, business teams, data engineers, machine learning teams, and external delivery…

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