Johnson & Johnson
Principal Engineer, Data Engineering
Johnson & Johnson, Jacksonville, Florida, United States, 32290
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, Milpitas, CA, Irvine, CA and Sao Paulo, Brazil but allows for a hybrid work environment.
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.
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.
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.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.Qualifications
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 GCP, 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.The anticipated base pay range for this position is 113000 to 195500.
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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.
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.
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.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.Qualifications
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 GCP, 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.The anticipated base pay range for this position is 113000 to 195500.
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