Data Engineer, Technology Services

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.

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Job Function:
Data Analytics & Computational Sciences

Job Sub Function:
Data Engineering

Job Category:
Scientific/Technology

All Job Posting Locations:
Raritan, New Jersey, United States of America

Job Description:

We are searching for the best talent for a Data Engineer, Technology Services to be located in Raritan NJ, 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

• Collaborate with Business Technology partners to understand existing solutions/products, business needs and priorities.
• Shape solution design in alignment with overall business strategy and Technology Service’s roadmap.
• Design, develop, deploy and support scalable data pipelines and data products that enable business intelligence, advanced analytics, and data science use cases.
• Optimize data solutions and infrastructure for improved performance, reliability, and cost savings.
• Understand and articulate the benefits of reusable patterns and products developed by the team to potential adopters.
• Stay current with emerging data engineering, AI-assisted development, and analytics technologies, and proactively recommend innovative approaches that improve engineering productivity, scalability, and business outcomes.

A minimum of a bachelor's degree is required;
Computer Science, Information Technology or other technical related field.

• Inquisitive — Curious about learning new technologies and approaches
• Driven — Strong problem-solving skills, with the ability to analyze complex data and develop innovative solutions
• Good communication and interpersonal skills, collaborating with clients and team members.
• Hands On – Technical experience building data pipelines and managing Cloud environments.

• Data Engineering (Python, PySpark, SQL, Scripting)
• Data Platforms (At least 1 - Databricks, MS Fabric, Snowflake, AWS Redshift)
• Cloud Engineering (At least 1 - AWS, Azure, Kubernetes, etc.)

• Gen AI (Prompt Engineering, Github Copilot, Claude Code, MS Copilot)
• Data Visualization (Power BI, Tableau)
• Software Engineering Fundamentals (Git, testing, code reviews, reusable frameworks, Dev Ops/MLOps, CICD)
• Agile Processes (Scrum, Kanban)

#JNJTECH #LI-Hybrid

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.

• Advanced Analytics
• Business Behavior
• Database As A Service (DBaaS)
• Data Cleansing
• Data Engineering
• Data Integration
• Data Modeling
• Data Privacy Standards
• Data Savvy
• Data Science
• Data Structures
• Design Thinking
• Execution Focus
• Project Management
• Requirements Analysis
• Technologically Savvy

The anticipated base pay range for this position is : $65,000 - $104,650 Additional Description for Pay…