We Hire America Jobs

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 https://www.jnj.com

Job Function:

Data Analytics & Computational Sciences

Job Sub Function:

Data Engineering

Job Category:

Scientific/Technology

All Job Posting Locations:

Santa Clara, California, United States of America

Job Description:

Johnson & Johnson is hiring for a Sr. Principal Data Engineer - Shockwave Medical to join our team located in Santa Clara, CA .

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 https://www.jnj.com/ .

Fueled by innovation at the intersection of biology and technology, we’re developing the next generation of smarter, less invasive, more personalized treatments. Ready to join a team that’s pioneering the development and commercialization of Intravascular Lithotripsy (IVL) to treat complex calcified cardiovascular disease. Our Shockwave Medical portfolio aims to establish a new standard of care for medical device treatment of atherosclerotic cardiovascular disease through its differentiated and proprietary local delivery of sonic pressure waves for the treatment of calcified plaque.

Position Overview

We are seeking an experienced Modern Data Stack Data Engineer with specialized expertise in the domains of Supply Chain, Manufacturing, and Finance. This role is critical in architecting and managing data solutions that support and enhance our core business operations. Your deep understanding of Oracle Fusion Cloud applications and your ability to design semantic layers will be key to transforming raw data into strategic business insights.

Essential Job Functions

• Domain-Specific Data Engineering : Develop and manage data pipelines specifically tailored for Supply Chain, Manufacturing, and Finance data using technologies like Snowflake, Fivetran, Coalesce and Airflow

• Semantic Layer Design : Design and implement a semantic layer to improve data accessibility and usability across business units, ensuring that data is modeled in a way that aligns with business processes and needs.

• Data Integration from Oracle Fusion Cloud: Efficiently extract and load data from Oracle Fusion Cloud, with a focus on leveraging BI Publisher and BICC PVOs for comprehensive data capture from Finance, Supply Chain, and Manufacturing modules.

• Advanced Data Transformation : Utilize SQL and data transformation tools like Coalesce to perform complex data transformations within Snowflake, ensuring data is clean, efficient, and ready for analysis.

• Collaboration with Business Units : Work closely with stakeholders in Supply Chain, Manufacturing, and Finance to understand their data needs and deliver precise data models and dashboards.

• Data Quality and Accuracy: Implement robust data quality checks and monitoring with tools like Monte Carlo to ensure high data integrity and reliability.

• Performance Optimization: Regularly evaluate and optimize data pipelines for enhanced performance and scalability.

• Visualization and Business Intelligence: Create and maintain advanced visualizations and dashboards in Power BI, translating data into actionable business insights.

Requirements

• Professional Experience: At least 15 years in data engineering with significant exposure to Supply Chain, Manufacturing, and Finance functions.

• Functional Domain Experience: Be able to understand business processes and discuss solutions with process experts in Manufacturing Operations, Supply Chain and Finance is a must for this position.

• Technical Proficiency: Expert knowledge of Snowflake, Coalesce, Python, and SQL. Experience with Fivetran, Airflow, and Azure Data Factory is highly preferred.

• Oracle Fusion Cloud Expertise: Deep understanding of Oracle Fusion Cloud, especially BICC PVOs and BI Publisher, for effective data extraction and reporting.

• Analytical Skills: Strong analytical capabilities with a proven record of solving complex data problems.

• Communication: Excellent communication skills to effectively collaborate with technical teams and business stakeholders.

• Leadership Qualities: Demonstrated project management and leadership skills, with a strategic vision to align data initiatives with business goals.

• Education: Bachelor's degree in Computer Science, Data Science or related fields.

Additional Information:

• The anticipated base pay for this position is $138,000-$238,050 annually.

• The Company maintains highly competitive, performance-based compensation programs. Under current guidelines, this position is eligible for an annual performance bonus in accordance with the terms of the applicable plan. The annual performance bonus is a cash bonus intended to provide an incentive to achieve annual targeted results by rewarding for individual and the corporation’s performance over a calendar/performance year. Bonuses are awarded at the Company’s discretion on an individual basis.

• Employees and/or eligible dependents may be eligible to participate in the following Company sponsored employee benefit programs: medical, dental, vision, life insurance, short- and long-term disability, business accident insurance, and group legal insurance.

• Employees may be eligible to participate in the Company’s consolidated retirement plan (pension) and savings plan (401(k)).

• Employees are eligible for the following time off benefits:

• Vacation – up to 120 hours per calendar year

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

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

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

• Additional information can be found through the link below. https://www.careers.jnj.com/employee-benefits

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 and 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 email the Employee Health Support Center ( ra-employeehealthsup@its.jnj.com ) or contact AskGS to be directed to your accommodation resource.

The anticipated base pay range for this position is :

Additional Description for Pay Transparency: