Function
Data Analytics & Computational Sciences
Sub function
Data Engineering
Category
Experienced Engineer, Data Engineering (ST5)
Location
Cincinnati / Irvine / Jacksonville / Athens / Raynham / Las Vegas / Piscataway / Albany / Memphis / Dallas / United States of America
Date posted
Jun 18 2025
Requisition number
R-018296
Work pattern
Fully Remote
This job posting is anticipated to close on Jul 02 2025. We may however extend this time period, in which case the posting will remain available on www.careers.jnj.com to accept additional applications.
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. 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 DESCRIPTION:

Johnson & Johnson is currently recruiting for a Experienced Data Engineer! This role can be performed remotely anywhere within the United States. Remote work may be considered on a case by case basis and if approved by the business.
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/.
Position Summary:
As a Data Engineering for J&J MedTech Quality, you will play a pivotal role in building the modern cloud data platform by demonstrating your in-depth technical expertise and interpersonal skills. In this role, you will be required to focus on accelerating data products development as part of the fast-paced data platform team. We are a diverse and growing team, that nurture creativity, deep understanding of data processing techniques, and the use of sophisticated analytics technologies to deliver results.

Data Engineering Responsibilities (70%)

• Develop, optimize, and maintain complex SQL queries, and scripts for data transformation, validation, and reporting!.
• Build and handle data pipelines in Azure, maximising services such as Azure Data Factory, Azure Synapse Analytics, and Databricks.
• Design and implement ETL/ELT processes to integrate data from different sources into a centralized data lake or warehouse!.
• Ensure data integrity, security, and compliance with regulatory standards such as GxP and data governance policies.
• Optimize database performance, indexing strategies, and query execution plans for efficient data processing.
• Implement monitoring, logging, and alerting mechanisms to ensure data pipelines run smoothly and efficiently.
• Partner with DevOps teams to automate data pipeline deployments using CI/CD standard methodologies.
• Support data governance and data quality initiatives by defining business rules, metadata standards, and validation criteria.
• Solve and resolve data issues, ensuring high availability and reliability of data services.

Business Analyst Responsibilities (30%)

• Collaborate with business partners to capture, analyze, and document data requirements, ensuring alignment with business goals.
• Partner closely with data engineers, architects, and analysts.
• Develop data models, workflows, and process documentation to improve data-driven decision-making.
• Design test cases for data validation and ensure business requirements are met.

Qualifications:

EDUCATION:

Bachelor’s degree or equivalent experience in computer science, Information Systems, Data Engineering, or a related field.

Data Engineering Responsibilities (70%)

• Develop, optimize, and maintain complex SQL queries, and scripts for data transformation, validation, and reporting!.
• Build and handle data pipelines in Azure, maximising services such as Azure Data Factory, Azure Synapse Analytics, and Databricks.
• Design and implement ETL/ELT processes to integrate data from different sources into a centralized data lake or warehouse!.
• Ensure data integrity, security, and compliance with regulatory standards such as GxP and data governance policies.
• Optimize database performance, indexing strategies, and query execution plans for efficient data processing.
• Implement monitoring, logging, and alerting mechanisms to ensure data pipelines run smoothly and efficiently.
• Partner with DevOps teams to automate data pipeline deployments using CI/CD standard methodologies.
• Support data governance and data quality initiatives by defining business rules, metadata standards, and validation criteria.
• Solve and resolve data issues, ensuring high availability and reliability of data services

Business Analyst Responsibilities (30%)

• Collaborate with business partners to capture, analyze, and document data requirements, ensuring alignment with business goals.
• Partner closely with data engineers, architects, and analysts.
• Develop data models, workflows, and process documentation to improve data-driven decision-making.
• Design test cases for data validation and ensure business requirements are met