Johnson & Johnson MedTech · 6 hours ago
Staff Data Engineer
Palm Beach Gardens, FL
Full-time
Hybrid
Senior Level, Lead/Staff
5+ years expJohnson & Johnson MedTech is committed to healthcare innovation, aiming to deliver breakthroughs that profoundly impact health for humanity. They are seeking a Staff Data Engineer to design, build, and maintain efficient data pipelines while mentoring junior engineers and optimizing data management processes.
Hospital & Health Care
Responsibilities
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
Qualification
Required
Master's degree in Computer Science, Data Science, Software Engineering, Business Analytics and Information Systems, or related field
5 years of experience in the job offered or in a Senior Data Engineer-related occupation
Benefits
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.
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.
Company
Johnson & Johnson MedTech
At Johnson & Johnson MedTech, we are working to solve the world’s most pressing healthcare challenges through innovations at the intersection of biology and technology.
10001+ employees
Funding
Current Stage
Late StageLeadership Team
Mike Walker
CFO & VP of Finance DePuy Synthes
Tino Schweighoefer, MBA
CFO Monarch Platform
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