Principal Engineer, Data Engineering

Johnson & Johnson - Jacksonville, FL

Full-time - Principal

Hybrid - Jacksonville, FL

Chemical Manufacturing

About the position

Johnson & Johnson MedTech | Vision is seeking an experienced Data Engineer to join the Digital Surgery and Connected Practice and Operating Room (CP&OR) R&D Team. This role is pivotal in transforming the field of ophthalmology by creating an integrated and efficient operating room environment. The position is hybrid, allowing for work from Jacksonville, FL, Milpitas, CA, Irvine, CA, or Sao Paulo, Brazil. At Johnson & Johnson, we believe that health is everything, and our commitment to healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured. Our expertise in Innovative Medicine and MedTech positions us uniquely to innovate across the full spectrum of healthcare solutions today, delivering breakthroughs that profoundly impact health for humanity. The Digital Surgery and CP&OR group was established with the goal of optimizing patient outcomes, minimizing time spent in the operating room, and enhancing overall efficiency of surgical workflows. We recognize the importance of understanding the specific needs of patients and physicians to drive innovation. By leveraging our expertise in software development, clinical science, and state-of-the-art data science and ML/AI tools, we are conceptualizing, prototyping, and ultimately developing a connected practice and operating room solution. Our aim is to seamlessly integrate technology and medical practices to improve outcomes and streamline processes in the field of ophthalmology. As a Data Engineer, you will collaborate with a cross-functional team to develop and implement data integration solutions for ophthalmology clinics and surgical sites. You will design and develop data pipelines to pull together and merge data from various sources, including Electronic Health Records (EHR) systems and medical devices used in cataract and refractive surgeries. Your role will involve extracting, transforming, and loading (ETL) data from disparate sources while ensuring data quality and integrity during the integration process. You will also be responsible for developing and maintaining scalable and efficient data processing workflows, implementing data governance practices, and ensuring compliance with regulatory requirements such as HIPAA to secure patient data privacy. Additionally, you will collaborate with stakeholders to understand data requirements and translate them into technical specifications and data integration solutions, optimizing data models and structures to support data analysis and reporting initiatives.

Responsibilities

• Collaborate with a cross-functional team to develop and implement data integration solutions for ophthalmology clinics and surgical sites.
• Design and develop data pipelines to pull together and merge data from various sources, including Electronic Health Records (EHR) systems and medical devices used in cataract and refractive surgeries.
• Extract, transform, and load (ETL) data from disparate sources and ensure data quality and integrity during the integration process.
• Develop and maintain scalable and efficient data processing workflows using appropriate tools and technologies.
• Implement data governance practices and ensure compliance with regulatory requirements, such as HIPAA, to secure patient data privacy.
• Collaborate with stakeholders to understand data requirements and translate them into technical specifications and data integration solutions.
• Optimize data models and structures to support data analysis, reporting, and advanced analytics initiatives.
• Perform data profiling and data quality assessment, identifying and resolving data quality issues.
• Stay updated with industry best practices and emerging technologies related to data integration, data engineering, and healthcare data standards.
• Collaborate with IT teams to ensure data infrastructure and systems are in place to support data integration and processing needs.
• Document data integration processes, workflows, and technical specifications for future reference and knowledge sharing.
• Provide technical guidance and mentorship to junior members of the team.

Requirements

• Advanced degree (MS or PhD) in Data Engineering, Data Science, Computer Science, Computer Engineering, or a related field.
• Minimum of 8 years full-time experience as a data engineer.
• Proven experience as a data engineer, preferably working with healthcare or medical data integration projects at scale.
• Strong proficiency in data engineering concepts, ETL/ELT processes, and data integration techniques.
• Experience building data lakes & data warehouse platforms for high volume data systems of all sorts (analytic, relational, big data, etc.).
• Significant experience in object-oriented programming and strong proficiency in programming languages, especially in Python, but also SQL and/or Java.
• Experience with data modeling, pipeline development and analysis within data science/data engineering platforms such as Databricks, Dataiku, or Snowflake.
• Knowledge of professional software engineering & best practices for full software development life cycle, including coding standards, software architectures, code reviews, source control management, CI/CD, testing, and operational excellence.
• Familiarity with healthcare data standards and protocols, including HL7, DICOM, and FHIR.
• Understanding of data governance principles and data privacy regulations, such as HIPAA and HITRUST.
• Experience with cloud platforms, such as AWS, Azure, or Google Cloud Platform, and their respective data integration services.
• Strong problem-solving and analytical skills, with the ability to identify and resolve complex data integration challenges.
• Excellent communication and interpersonal skills to collaborate effectively with team members and stakeholders.
• Ability to work in a fast-paced and dynamic environment, managing multiple priorities and projects simultaneously.

Benefits

• Medical insurance
• Dental insurance
• Vision insurance
• Life insurance
• Short- and long-term disability insurance
• Business accident insurance
• Group legal insurance
• 401(k) retirement plan
• 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