Data Engineer - Shockwave Medical

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 Data Engineer – Shockwave Medical to join our team.

The position is FULLY REMOTE and can sit anywhere in the US.

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

As a Data Engineer reporting to the Sr.

Manager, Data Engineering, you will play a pivotal role in enabling our business groups to access and interpret meaningful data.

You will need to bridge detailed knowledge of our data with an understanding of end users’ needs, crafting accessible, well-structured data for reporting, advanced analytics, and use in AI modeling.

Essential Job Functions


* Develop and maintain SQL-based data pipelines to extract, transform, and load (ETL) data from enterprise data warehouses.


* Aid in semantic model and view development within Snowflake to enable advanced, self-service analytics aligned to the newest analytical practices.


* Collaborate with team members to understand data and provide novel technical solutions.


* Experiment with new data engineering techniques and tools, embracing the unknown to drive innovation and improvement.


* Monitor data systems and implement enhancements driving performance and efficiency.


* Coordinate with IT to ensure seamless flow of data across systems, maintaining high standards of data availability and security.


* This is a hybrid/remote role, depending on location and business needs.


* Travel up to 20% may be required for business needs.

Requirements


* Bachelor’s degree and 2+ years of experience as a Data Engineer or similar technical role.


* Expertise in SQL and ETL tools for data transformation and warehouse management.
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