{"schemaVersion":"jobsearcher.job.v1","id":"79f8cd75b3476f6730cb4c80","url":"https://jobsearcher.com/jobs/79f8cd75b3476f6730cb4c80","canonicalUrl":"https://jobsearcher.com/jobs/79f8cd75b3476f6730cb4c80","title":"Manager Data Engineering","description":"Proven expertise in:\r\nAt 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 jnj.com\r\nAs guided by Our Credo, Johnson & Johnson is responsible to our employees who work with us throughout the world. We provide an inclusive work environment where each person is considered as an individual. At Johnson & Johnson, we respect the diversity and dignity of our employees and recognize their merit.\r\nJob Function\r\nData Analytics & Computational Sciences\r\nJob Sub Function\r\nData Engineering\r\nJob Category\r\nPeople Leader\r\nAll Job Posting Locations\r\nMooresville, Indiana, United States of America, New Brunswick, New Jersey, United States of America, Palm Beach Gardens, Florida, United States of America, Raritan, New Jersey, United States of America, Raynham, Massachusetts, United States of America, Remote (US), Warsaw, Indiana, United States of America, West Chester, Pennsylvania, United States of America\r\nJob Description\r\nAbout Orthopaedics\r\nFueled by innovation at the intersection of biology and technology, we're developing the next generation of smarter, less invasive, more personalized treatments.\r\nAre you passionate about improving and expanding the possibilities of Orthopaedics? Ready to join a team that's reimagining how we heal? Our Orthopaedics teams help keep more than 6 million people moving each year while delivering clinical and economic value to surgeons and healthcare systems. Our teams build solutions for joint reconstruction; trauma and craniomaxillofacial; sports, extremities, and elective foot and ankle; spine; and robotics and digital surgery.\r\nYour unique talents will help patients on their journey to wellness. Learn more at https://www.jnj.com/medtech\r\nPurpose\r\nOrthopedics Supply Chain is recruiting for a Data Engineering Manager located in Warsaw, IN, Raynham, MA, Raritan, NJ, West Chester, PA, Palm Beach Gardens, FL. Remote work may also be considered in certain situations.\r\nWhat's in it for you?\r\nAs a Data Engineering Manager, you will play a pivotal role in shaping the data engineering strategy and technical vision that powers digital products across the Orthopaedics Supply Chain. You will lead the Data Foundation initiative to modernize the current data landscape and build a scalable lakehouse architecture using Databricks and cloud technologies. In this role, you will drive architecture, engineering standards, governance, and execution to deliver trusted, reusable, and business-ready data products.\r\nYou will also provide technical leadership for business separation activities, ensuring that data architecture, pipelines, and platforms are designed to support future-state organizational needs while maintaining continuity, scalability, and delivery excellence.\r\nThis position requires strong leadership across architecture design, engineering governance, vendor delivery, and cross-functional collaboration to translate strategy into measurable business outcomes. If you are energized by building modern data capabilities that improve healthcare operations and enable better decisions at scale, this is an opportunity to make a meaningful impact.\r\nKey Responsibilities\r\nLead the Data Foundation initiative to modernize the enterprise data ecosystem through a scalable lakehouse architecture and cloud-based data platform capabilities\r\nDefine the data engineering strategy, target architecture, and reusable pipeline frameworks needed to deliver governed, high-quality data products\r\nDevelop the strategy for a Data Supermarket that delivers business-ready data products for use across multiple functions.\r\nTranslate complex business requirements and technical challenges into scalable architecture decisions and executable delivery plans\r\nProvide technical leadership for business separation activities, ensuring alignment to future-state operating models and platform continuity\r\nEstablish and enforce best practices for\r\nData modeling (dimensional, Data Vault 2.0)\r\nPipeline design, modularity, and reuse\r\nEngineering standards and quality controls\r\nEstablish and scale data governance, data quality, and observability practices, including monitoring, lineage, reliability, and service-level expectations\r\nDefine and implement automated testing strategies for data pipelines, including validation, data quality controls, and CI/CD integration\r\nLead development and orchestration using Databricks, Python, SQL, dbt, Airflow, and cloud-native tools\r\nPartner with vendors and internal teams to manage delivery, enforce standards, and drive outcome-based execution\r\nCollaborate across Product, Supply Chain business, AI/ML, Data Governance, and IT teams to deliver measurable business impact\r\nQualifications\r\nEducation\r\nA Bachelor's or Master's degree in Computer Science, Engineering, Applied Mathematics, or in a related field.\r\nRequired\r\nExperience and Skills\r\nMinimum of 8 years of experience in data engineering, including 2 or more years in leadership or people management roles\r\nStrong hands-on technical experience with:\r\nDatabricks, PySpark, Spark SQL\r\nPython and SQL development\r\nCloud platforms (Azure preferred, AWS acceptable)\r\nProven expertise in\r\nModern data architecture and platform design\r\nDimensional modeling and Data Vault 2.0\r\nExperience with\r\ndbt, Airflow, Azure Data Factory (or equivalent tools)\r\nCI/CD pipelines, automation frameworks, and testing practices\r\nRequired experience designing and implementing automated testing strategies for data engineering pipelines, including:\r\nEnd-to-end pipeline validation\r\nData quality and integrity testing\r\nIntegration with CI/CD pipelines\r\nExperience leading distributed teams and partnering effectively with external vendors and cross-functional stakeholders\r\nPreferred\r\nExperience supporting Agile product delivery teams and mentoring engineers in complex, fast-paced technical environments\r\nFamiliarity with end-to-end supply chain domains such as planning, manufacturing, procurement, and distribution within MedTech or a similar regulated industry\r\nKnowledge of enterprise systems of record such as ERP, MES, and PLM, including experience working with fragmented or legacy data environments\r\nExperience with\r\nLakehouse architecture and Delta Lake\r\nData observability and monitoring frameworks\r\nExperience collaborating with AI/ML and advanced analytics teams to enable scalable data and model-ready pipelines\r\nKnowledge of Power BI or enterprise BI platform\r\nExperience leveraging AI-assisted development tools (e.g., GitHub Copilot, Cursor, or similar) to:\r\nAccelerate pipeline development\r\nAutomate engineering workflows\r\nExposure to code generation, pipeline automation, or low-code data engineering accelerators\r\nLeadership Competencies\r\nStrong strategic thinking paired with a track record of execution excellence\r\nAbility to lead effectively in an outcome-driven, product-centric operating model\r\nExcellent communication, stakeholder management, and influencing skills across technical and business audiences\r\nProven ability to translate complex architectures into executable delivery plans\r\nFocus on standardization, scalability, and engineering excellence\r\nThis position may require up to 20% travel domestic and international\r\nJohnson & Johnson announced plans to separate our Orthopedics business to establish a standalone orthopedics company, operating as DePuy Synthes. The process of the planned separation is anticipated to be completed within 18 to 24 months, subject to legal requirements, including consultation with works councils and other employee representative bodies, as may be required, regulatory approvals and other customary conditions and approvals.\r\nShould you accept this position, it is anticipated that, following conclusion of the transaction, you would be an employee of DePuy Synthes and your employment would be governed by DePuy Synthes employment processes, programs, policies, and benefit plans. In that case, details of any planned changes would be provided to you by DePuy Synthes at an appropriate time and subject to any necessary consultation processes.\r\nJohnson & 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 under federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act.\r\nJohnson & Johnson is committed to providing an interview process that is inclusive of our applicants' needs. If you are an individual with a disability and would like to request an accommodation, external applicants please contact us via https://www.jnj.com/contact-us/careers, internal employees contact AskGS to be directed to your accommodation resource.\r\nJNJData Engineering\r\nRequired Skills\r\nPreferred Skills\r\nAdvanced Analytics, Agility Jumps, Compliance Management, Data Engineering, Data Governance, Data Modeling, Data Privacy Standards, Data Science, Developing Others, Emerging Technologies, Execution Focus, Hybrid Clouds, Inclusive Leadership, Leadership, Resource Allocation, Team Management, Technical Development, Technologically Savvy\r\nThe anticipated base pay range for this position is\r\n$102,000.00 - $177,100.00\r\nAdditional Description For Pay Transparency\r\nSubject to the terms of their respective plans, employees are eligible to participate in the Company's consolidated retirement plan (pension) and savings plan (401(k)).\r\nThis position is eligible to participate in the Company's long-term incentive program.\r\nBenefits\r\nVacation –120 hours per calendar year\r\nSick time - 40 hours per calendar year; for employees who reside in the State of Colorado –48 hours per calendar year; for employees who reside in the State of Washington –56 hours per calendar year\r\nHoliday pay, including Floating Holidays –13 days per calendar year\r\nWork, Personal and Family Time - up to 40 hours per calendar year\r\nParental Leave – 480 hours within one year of the birth/adoption/foster care of a child\r\nBereavement Leave – 240 hours for an immediate family member: 40 hours for an extended family member per calendar year\r\nCaregiver Leave – 80 hours in a 52-week rolling period10 days\r\nVolunteer Leave – 32 hours per calendar year\r\nMilitary Spouse Time-Off – 80 hours per calendar year\r\nFor additional general information on Company benefits, please go to: - https://www.careers.jnj.com/employee-benefits\r\nJ-18808-Ljbffr","company":"Johnson & Johnson MedTech","rawCompany":"johnson johnson medtech","city":"Florida","state":"NY","isRemote":false,"isActive":false,"createdAt":"2026-08-08T01:22:33.016Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"11-3021.00","title":"Computer and Information Systems Managers","slug":"computer-and-information-systems-managers"},{"code":"15-1243.00","title":"Database Architects","slug":"database-architects"}],"industries":[{"code":"339113","title":"Surgical Appliance and Supplies Manufacturing","slug":"surgical-appliance-and-supplies-manufacturing"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"518210","title":"Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services","slug":"computing-infrastructure-providers-data-processing-web-hosting-and-related-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Manager Data Engineering","description":"Proven expertise in:\r\nAt 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 jnj.com\r\nAs guided by Our Credo, Johnson & Johnson is responsible to our employees who work with us throughout the world. We provide an inclusive work environment where each person is considered as an individual. At Johnson & Johnson, we respect the diversity and dignity of our employees and recognize their merit.\r\nJob Function\r\nData Analytics & Computational Sciences\r\nJob Sub Function\r\nData Engineering\r\nJob Category\r\nPeople Leader\r\nAll Job Posting Locations\r\nMooresville, Indiana, United States of America, New Brunswick, New Jersey, United States of America, Palm Beach Gardens, Florida, United States of America, Raritan, New Jersey, United States of America, Raynham, Massachusetts, United States of America, Remote (US), Warsaw, Indiana, United States of America, West Chester, Pennsylvania, United States of America\r\nJob Description\r\nAbout Orthopaedics\r\nFueled by innovation at the intersection of biology and technology, we're developing the next generation of smarter, less invasive, more personalized treatments.\r\nAre you passionate about improving and expanding the possibilities of Orthopaedics? Ready to join a team that's reimagining how we heal? Our Orthopaedics teams help keep more than 6 million people moving each year while delivering clinical and economic value to surgeons and healthcare systems. Our teams build solutions for joint reconstruction; trauma and craniomaxillofacial; sports, extremities, and elective foot and ankle; spine; and robotics and digital surgery.\r\nYour unique talents will help patients on their journey to wellness. Learn more at https://www.jnj.com/medtech\r\nPurpose\r\nOrthopedics Supply Chain is recruiting for a Data Engineering Manager located in Warsaw, IN, Raynham, MA, Raritan, NJ, West Chester, PA, Palm Beach Gardens, FL. Remote work may also be considered in certain situations.\r\nWhat's in it for you?\r\nAs a Data Engineering Manager, you will play a pivotal role in shaping the data engineering strategy and technical vision that powers digital products across the Orthopaedics Supply Chain. You will lead the Data Foundation initiative to modernize the current data landscape and build a scalable lakehouse architecture using Databricks and cloud technologies. In this role, you will drive architecture, engineering standards, governance, and execution to deliver trusted, reusable, and business-ready data products.\r\nYou will also provide technical leadership for business separation activities, ensuring that data architecture, pipelines, and platforms are designed to support future-state organizational needs while maintaining continuity, scalability, and delivery excellence.\r\nThis position requires strong leadership across architecture design, engineering governance, vendor delivery, and cross-functional collaboration to translate strategy into measurable business outcomes. If you are energized by building modern data capabilities that improve healthcare operations and enable better decisions at scale, this is an opportunity to make a meaningful impact.\r\nKey Responsibilities\r\nLead the Data Foundation initiative to modernize the enterprise data ecosystem through a scalable lakehouse architecture and cloud-based data platform capabilities\r\nDefine the data engineering strategy, target architecture, and reusable pipeline frameworks needed to deliver governed, high-quality data products\r\nDevelop the strategy for a Data Supermarket that delivers business-ready data products for use across multiple functions.\r\nTranslate complex business requirements and technical challenges into scalable architecture decisions and executable delivery plans\r\nProvide technical leadership for business separation activities, ensuring alignment to future-state operating models and platform continuity\r\nEstablish and enforce best practices for\r\nData modeling (dimensional, Data Vault 2.0)\r\nPipeline design, modularity, and reuse\r\nEngineering standards and quality controls\r\nEstablish and scale data governance, data quality, and observability practices, including monitoring, lineage, reliability, and service-level expectations\r\nDefine and implement automated testing strategies for data pipelines, including validation, data quality controls, and CI/CD integration\r\nLead development and orchestration using Databricks, Python, SQL, dbt, Airflow, and cloud-native tools\r\nPartner with vendors and internal teams to manage delivery, enforce standards, and drive outcome-based execution\r\nCollaborate across Product, Supply Chain business, AI/ML, Data Governance, and IT teams to deliver measurable business impact\r\nQualifications\r\nEducation\r\nA Bachelor's or Master's degree in Computer Science, Engineering, Applied Mathematics, or in a related field.\r\nRequired\r\nExperience and Skills\r\nMinimum of 8 years of experience in data engineering, including 2 or more years in leadership or people management roles\r\nStrong hands-on technical experience with:\r\nDatabricks, PySpark, Spark SQL\r\nPython and SQL development\r\nCloud platforms (Azure preferred, AWS acceptable)\r\nProven expertise in\r\nModern data architecture and platform design\r\nDimensional modeling and Data Vault 2.0\r\nExperience with\r\ndbt, Airflow, Azure Data Factory (or equivalent tools)\r\nCI/CD pipelines, automation frameworks, and testing practices\r\nRequired experience designing and implementing automated testing strategies for data engineering pipelines, including:\r\nEnd-to-end pipeline validation\r\nData quality and integrity testing\r\nIntegration with CI/CD pipelines\r\nExperience leading distributed teams and partnering effectively with external vendors and cross-functional stakeholders\r\nPreferred\r\nExperience supporting Agile product delivery teams and mentoring engineers in complex, fast-paced technical environments\r\nFamiliarity with end-to-end supply chain domains such as planning, manufacturing, procurement, and distribution within MedTech or a similar regulated industry\r\nKnowledge of enterprise systems of record such as ERP, MES, and PLM, including experience working with fragmented or legacy data environments\r\nExperience with\r\nLakehouse architecture and Delta Lake\r\nData observability and monitoring frameworks\r\nExperience collaborating with AI/ML and advanced analytics teams to enable scalable data and model-ready pipelines\r\nKnowledge of Power BI or enterprise BI platform\r\nExperience leveraging AI-assisted development tools (e.g., GitHub Copilot, Cursor, or similar) to:\r\nAccelerate pipeline development\r\nAutomate engineering workflows\r\nExposure to code generation, pipeline automation, or low-code data engineering accelerators\r\nLeadership Competencies\r\nStrong strategic thinking paired with a track record of execution excellence\r\nAbility to lead effectively in an outcome-driven, product-centric operating model\r\nExcellent communication, stakeholder management, and influencing skills across technical and business audiences\r\nProven ability to translate complex architectures into executable delivery plans\r\nFocus on standardization, scalability, and engineering excellence\r\nThis position may require up to 20% travel domestic and international\r\nJohnson & Johnson announced plans to separate our Orthopedics business to establish a standalone orthopedics company, operating as DePuy Synthes. The process of the planned separation is anticipated to be completed within 18 to 24 months, subject to legal requirements, including consultation with works councils and other employee representative bodies, as may be required, regulatory approvals and other customary conditions and approvals.\r\nShould you accept this position, it is anticipated that, following conclusion of the transaction, you would be an employee of DePuy Synthes and your employment would be governed by DePuy Synthes employment processes, programs, policies, and benefit plans. In that case, details of any planned changes would be provided to you by DePuy Synthes at an appropriate time and subject to any necessary consultation processes.\r\nJohnson & 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 under federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act.\r\nJohnson & Johnson is committed to providing an interview process that is inclusive of our applicants' needs. If you are an individual with a disability and would like to request an accommodation, external applicants please contact us via https://www.jnj.com/contact-us/careers, internal employees contact AskGS to be directed to your accommodation resource.\r\nJNJData Engineering\r\nRequired Skills\r\nPreferred Skills\r\nAdvanced Analytics, Agility Jumps, Compliance Management, Data Engineering, Data Governance, Data Modeling, Data Privacy Standards, Data Science, Developing Others, Emerging Technologies, Execution Focus, Hybrid Clouds, Inclusive Leadership, Leadership, Resource Allocation, Team Management, Technical Development, Technologically Savvy\r\nThe anticipated base pay range for this position is\r\n$102,000.00 - $177,100.00\r\nAdditional Description For Pay Transparency\r\nSubject to the terms of their respective plans, employees are eligible to participate in the Company's consolidated retirement plan (pension) and savings plan (401(k)).\r\nThis position is eligible to participate in the Company's long-term incentive program.\r\nBenefits\r\nVacation –120 hours per calendar year\r\nSick time - 40 hours per calendar year; for employees who reside in the State of Colorado –48 hours per calendar year; for employees who reside in the State of Washington –56 hours per calendar year\r\nHoliday pay, including Floating Holidays –13 days per calendar year\r\nWork, Personal and Family Time - up to 40 hours per calendar year\r\nParental Leave – 480 hours within one year of the birth/adoption/foster care of a child\r\nBereavement Leave – 240 hours for an immediate family member: 40 hours for an extended family member per calendar year\r\nCaregiver Leave – 80 hours in a 52-week rolling period10 days\r\nVolunteer Leave – 32 hours per calendar year\r\nMilitary Spouse Time-Off – 80 hours per calendar year\r\nFor additional general information on Company benefits, please go to: - https://www.careers.jnj.com/employee-benefits\r\nJ-18808-Ljbffr","datePosted":"2026-08-08T01:22:33.016Z","dateModified":"2026-08-08T01:22:33.016Z","hiringOrganization":{"@type":"Organization","name":"Johnson & Johnson MedTech","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Florida","addressRegion":"NY","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"79f8cd75b3476f6730cb4c80"},"url":"https://jobsearcher.com/jobs/79f8cd75b3476f6730cb4c80"}}