Johnson & JohnsonComm Ops Data Engineer - Shockwave Medical
Johnson & Johnson is hiring a Comm Ops Data Engineer - Shockwave Medical for a remote role open to applicants in United States. It pays $91k-$147k a year and Level rates it ; you can apply on Johnson & Johnson.
Level's read on this job
- Little AI ●○○○ is how Level rates this data engineer role: aI is not part of the work.
- This is listed as a remote role.
- The posting mentions SQL, Python and Snowflake among its tools and skills.
- Level classes it as a mid-level role.
- Johnson & Johnson has 1,800+ other open roles on Level.
AI in this role
Design and maintain data engineering pipelines and analytics solutions for Shockwave Medical commercial operations.
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 SciencesJob Sub Function:
Data EngineeringJob Category:
Scientific/TechnologyAll Job Posting Locations:
Santa Clara, California, United States of AmericaJob Description:
Johnson & Johnson is hiring for a Comm Ops Data Engineer – Shockwave Medical to join our team. The position is FULLY REMOTE and can sit anywhere in the US.
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
Johnson & Johnson is a leading innovator in cardiovascular medical technology, committed to transforming patient outcomes through cutting-edge solutions. Our mission is to improve lives by developing and delivering pioneering treatments that address critical cardiovascular conditions.
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 needs and provide 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.
Experience working with Snowflake, Streamlit experience a plus
Understanding of Power BI or other business intelligence tools.
Familiarity with data governance, security, and compliance best practices.
Propensity to problem-solving and ability to optimize data applications.
Understanding of Python, R, or other scripting languages.
Biotech, Medical Device, Medtech, Life Sciences experience a plus
For Pay info on Fully remote roles :
US: $79,000 - $127,650 / Bay Area: $91,000 - $147,200
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 https://www.jnj.com/contact-us/careers or contact AskGS to be directed to your accommodation resource.
Required Skills:
Custom Programs, Data Analysis, Data Pipelines, Data Visualization, Impact Management
Preferred Skills:
Advanced Analytics, Analytical Reasoning, Business Behavior, Coaching, Database As A Service (DBaaS), Data Engineering, Data Modeling, Data Privacy Standards, Data Quality, Data Science, Data Structures, Design Thinking, Problem Solving, Project Management, Requirements Analysis, Technologically Savvy
The anticipated base pay range for this position is :
$91,000.00 - $147,200.00Additional Description for Pay Transparency:
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
Additional information can be found through the link below.
Co-Ops and Intern Positions: Please use the following language:
Co-Ops/Interns are eligible to participate in Company sponsored employee medical benefits in accordance with the terms of the plan.
Co-Ops and Interns are eligible for the following sick time benefits: up to 40 hours per calendar year; for employees who reside in the State of Washington, up to 56 hours per calendar year.
Co-Ops and Interns are eligible to participate in the Company’s consolidated retirement plan (pension).
Positions Represented by CBA: Please use the following language:
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.
The following link to general company benefits information MUST also be included in the posting: Please use the following language:
For additional general information on Company benefits, please go to: - https://www.careers.jnj.com/employee-benefits
How we rate this
Comm Ops Data Engineer - Shockwave Medical at Johnson & Johnson rates 10 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Also common in data engineer jobs at this level
Pay
- This job starts at
- $91k
- Typical data engineer job
- $145k
This posting starts 37% below the typical data engineer job. See data engineer jobs
Questions you could be asked
- Tell me about a project where data engineering was part of your work. What did you do?
- Tell me about a project where etl was part of your work. What did you do?
- Tell me about a project where data modeling was part of your work. What did you do?
- Tell me about a project where pipeline development was part of your work. What did you do?
- Walk me through how you've used SQL in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Data Engineering, ETL, Data Modeling, Pipeline Development, and SQL. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
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