Principal Engineer, Data Engineering

Johnson & Johnson MedTech | Vision, is recruiting an experienced Data Engineer for the Digital Surgery and Connected Practice and Operating Room (CP&OR) R&D Team. This position is located in Jacksonville, FL OR in Milpitas, CA but allows for a hybrid work environment.

What We Do:

The Digital Surgery and CP&OR group was established with the goal of transforming the field of ophthalmology by creating an integrated and efficient operating room environment. Our vision is to optimize patient outcomes, minimize time spent in the operating room, and enhance 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, as well as 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.

Who We are:

We are a dedicated team of engineers, scientists, and clinicians who are deeply committed to enhancing patient care in the field of connected practice and OR/digital surgery. Our group consists of a diverse range of professionals, including experienced industry experts, recent graduates, and individuals at every level in between. We operate with an integrated and iterative approach to product development, which necessitates close collaboration across various domains such as clinical, information and analytics (I&A), and capital hardware. Autonomy is valued within our team, as we empower each other to take decisive action while fostering a supportive and tightly-knit work environment. We take immense pride in our inclusive culture, actively cultivating an atmosphere that embraces diversity in terms of backgrounds and ideas.

The Job:

• 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.

• Collaborate on cloud architecture development efforts and contribute to architecture patterns/design, with respect to dataflow and model deployment.

• Implement data governance practices and ensure compliance with regulatory and cybersecurity requirements, such as HIPAA, to secure patient data privacy.

• Translate "business or customer requirements into data 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.