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 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:

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.

Position requires experience with:

1. Data architecture, data modelling ,data integration and data engineering tools - Databricks, Azure Data Factory, Prophecy IO, Alteryx, Apache Nifi, Service Oriented Architecture (SOA), and Oracle Service Bus;

2. Programming languages PySpark, SQL, Python, and R;

3. SQL optimization and database management systems MS SQL Server, MySQL, PostgreSQL, Oracle, Redshift, SQLite, and Azure SQL;

4. Cloud platforms Azure data Factory, Azure Databricks, Snowflake, and Google Cloud Platform;

5. UX and UI design and development of Business Intelligence data visualization and exploration tools using Power BI, Tableau, and Qlik;

6. Agile SDLC including scrums, sprints, and retrospectives;

7. DevOps tools and practices including Jenkins and Terraform;

8. Atlassian tools Bitbucket, JIRA, and Confluence;

9. Transactional ERP systems SAP OTC, SAP B2B, JDE 8.12, SAP Anspach, and planning systems APO/OMP;

10. Managing Azure VPC resources, network settings - subnets, private endpoints, and security groups for secure, scalable cloud environment;

11. API Integration, including RESTful and SOAP services, authentication, and error handling;

12. Data cataloging tool Oval Edge;

13. Last Mile Supply Chain Data Engineering; and

14. Orthopedic Last Mile Supply Chain processes including Field inventory and production management in supply chain, entitlement, safety stock, inventory re-allocation, backorder, product lifecycle management, product cannibalization, capital expenditure and Construct in Progress, and supply attainment.

This job posting is anticipated to close on 7/2/2026 .

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.

Subject to the terms of their respective plans, employees are eligible to participate in the Company’s consolidated retirement plan (pension) and savings plan (401(k)).

This position is eligible to participate in the Company’s long-term incentive program.

Subject to the terms of their respective policies and date of hire, employees are eligible for the following time off benefits:

• Vacation –120 hours per calendar year

• Sick time - 40 hours per calendar year; for employees who reside in the State of Colorado –48 hours per calendar year; for employees who reside in the State of Washington –56 hours per calendar year

• Holiday pay, including Floating Holidays –13 days per calendar year

• Work, Personal and Family Time - up to 40 hours per calendar year

• Parental Leave – 480 hours within one year of the birth/adoption/foster care of a child

• Bereavement Leave – 240 hours for an immediate family member: 40 hours for an extended family member per calendar year

• Caregiver Leave – 80 hours in a 52-week rolling period10 days

• Volunteer Leave – 32 hours per calendar year

• Military Spouse Time-Off – 80 hours per calendar year

• This position is eligible for benefits to include medical, dental, vision and time off, as well as any others as provided for in the applicable Collective Bargaining Agreement.

• For additional general information on Company benefits, please go to: -

Required Skills:

Preferred Skills: