Sr. Manager, Data Engineering - Shockwave Medical

Johnson & Johnson; Santa Clara (CA); Remote; USD 120,000 - 207,000; Full time

Job summary

A leading healthcare company is seeking a Sr. Manager, Data Engineering to develop and manage data pipelines, ensuring data integrity and accessibility. The role requires substantial experience in SQL development and data engineering, preferably within medical devices or pharmaceuticals. The position is fully remote, offering a competitive salary between $120,000 and $207,000, with specific rates for the Bay Area.

Qualifications

• 10+ years of experience in data engineering, SQL development, or data pipeline management, preferably in medical device, medtech, or pharmaceutical industry.
• Expertise in SQL and ETL tools for data transformation and warehouse management.
• Strong problem-solving skills and ability to optimize data performance for analytics applications.

Responsibilities

• Develop and maintain SQL-based data pipelines to extract, transform, and load (ETL) data.
• Collaborate with IT to ensure data availability, integrity, and accuracy.
• Manage and improve data access and governance.

Skills

SQL development

Data pipeline management

Business intelligence tools proficiency

Cloud-based platforms (AWS, Azure, Google Cloud)

Data governance and compliance knowledge

Education

Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or related field

Tools

Power BI

Tableau

Looker

Job description

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.

Job Function: Data Analytics & Computational Sciences

Job Sub Function: Data Engineering

Job Category: People Leader

All Job Posting Locations: Santa Clara, California, United States of America

Job Description:

Johnson & Johnson is hiring for a Sr. Manager, Data Engineering 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.

The Sr. Manager, Data Engineering is responsible for designing, optimizing, and managing data pipelines that support business intelligence and analytics across commercial functions. This role will focus on SQL-based data transformation, ensuring that data from enterprise data warehouses is structured, accessible, and ready for analysis in tools like Power BI as well as available for use by AI tools.

Essential Job Functions

• Develop and maintain SQL-based data pipelines to extract, transform, and load (ETL) data from enterprise data warehouses.
• Collaborate with IT to ensure data availability, integrity, and accuracy for business intelligence and analytics applications.
• Optimize data structures and performance for commercial reporting tools such as Power BI, Tableau, and Looker.
• Work closely with Sales, Marketing, Finance, and Commercial Operations teams to understand data needs and deliver scalable solutions.
• Manage and improve data access and governance, ensuring compliance with security and regulatory requirements.
• Develop automated data pipelines to streamline reporting and enable self-service analytics.
• Support data modeling efforts to enhance analytics capabilities for forecasting, segmentation, and pricing.
• Identify and implement best practices for data management, warehousing, and analytics infrastructure.
• Monitor and troubleshoot data pipeline performance, working proactively to resolve issues.
• Act as a bridge between IT and business users, ensuring that data solutions align with commercial objectives.

Requirements

• Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or a related field.
• 10+ years of experience in data engineering, SQL development, or data pipeline management, preferably in the medical device, medtech, or pharmaceutical industry.
• Expertise in SQL and ETL tools for data transformation and warehouse management.
• Experience working with cloud-based data platforms (AWS, Azure, Google Cloud).
• Strong proficiency in Power BI or other business intelligence tools.
• Familiarity with data governance, security, and compliance best practices.
• Ability to work in cross-functional teams, translating business needs into technical solutions.
• Strong problem-solving skills and ability to optimize data performance for analytics applications.

Preferred Qualifications

• Familiarity with APIs and system integrations for data connectivity.
• Knowledge of Python, R, or other scripting languages for data automation.
• Experience in building scalable data infrastructure for commercial operations.

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.

The anticipated base pay range for this position is: US $120,000 - $207,000 / Bay Area $138,000 - $238,050