Data Engineer

Position: Staff Data Engineer
This job is with Johnson & Johnson, an inclusive employer and a member of my Gwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly.

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
Job Function:
Data Analytics & Computational Sciences

Job Sub     Function:
Data Engineering

Job Category:
Scientific/Technology

All Job Posting Locations:
Palm Beach Gardens, Florida, United States of America

Job Description:

Employer:

Medical Device Business Services, Inc.

Job Title:

Staff Data Engineer
Job Code:
A011.5402

Job Location:

Palm Beach Gardens, FL
Job Type:
Full-Time

Job Duties:

Design, build, and maintain robust, scalable, and efficient data pipelines that involve data from Last Mile Orthopedics Supply Chain domain. Integrate data from diverse sources, including but not limited to, databases, external file systems, APIs, ensuring data consistency and reliability. Develop and maintain data models and schemas that support efficient data storage, retrieval, and analytics. Manage and optimize databases, ensuring their performance, availability, and security.

Lead SDLC project deployment process by reviewing system architecture, ensure automation of end-to-end data pipe, perform code peer reviews by incorporating industry standard best practices. Manage testing phase (unit test, system test), project deployment activities, and create technical documentation while collaborate with Scrum team and SQA, all within an Agile framework. Mentor junior data engineers, providing guidance on coding best practices and data pipeline design to streamline development.

Demonstrated business knowledge in Last Mile Orthopaedic Supply Chain processes
- Field inventory and production management in supply chain, Inventory Entitlement & Allocation Models, Inventory re-allocation & reverse logistics models, Backorder & STEM processes, Product Lifecycle Management-Product Cannibalization, Fixed Asset Construction in Progress Cost Tracking, Supply Attainment. Build and manage Azure VPC architecture to create a robust, secure, and scalable cloud infrastructure that enables seamless end-to-end automated data flow. Leverage Azure technology stack to redesign sustainable and cost-effective solutions.

Supervise projects that include complex data pipeline integration, providing innovative alternatives for their construction and optimization. Leverage git branching strategies to improve collaboration, streamline code reviews, and optimize deployment in data workflows.
May telecommute from within Florida.
Requirements:  Employer will accept a Master's degree in Computer Science, Data Science, Software Engineering, Business Analytics and Information Systems, or related field and 5 years of experience in the job offered or in a Senior Data Engineer-related occupation.
This job posting is anticipated to close on  3/21/2026.
Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act.
Johnson & Johnson is committed to providing an interview process that is inclusive of our applicants' needs. If you are an individual with a disability and would like to request an accommodation, please contact us via  or contact AskGS to be directed to your accommodation resource.
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