Principal Data Engineer

At Johnson & Johnson,we believe health is everything. Our strength in healthcare innovation empowers us to build aworld where complex diseases are prevented, treated, and cured,where treatments are smarter and less invasive, andsolutions 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 Job Function: Data Analytics & Computational Sciences Job Sub Function: Data Engineering Job Category: Scientific/Technology All Job Posting Locations: Jacksonville, Florida, United States of America Job Description: We are currently recruiting for Principal Data Engineer based in Jacksonville FL, Raritan NJ, Spring House PA, Irvine, CA or any other J&J East Coast locations. u200bCome be part of a dynamic and global team About Vision Fueled by innovation at the intersection of biology and technology, weu2019re developing the next generation of smarter, less invasive, more personalized treatments. Are you passionate about improving and expanding on the possibilities of vision treatments? Ready to join a team thatu2019s reimagining how vision is improved? Our Vision team solves the toughest health challenges. Help combine cutting-edge insights, science, technology, and people to encourage eye care professionals and patients to proactively protect, correct and enhance healthy sight for life. Our products and services address these needs u2013 from the pediatric to aging eye u2013 in a patientu2019s lifetime. Your unique talents will help patients on their journey to wellness. Learn more at About the Role We are seeking an experienced Data Engineer to design, build, and maintain the data infrastructure that powers our analytics, AI, and machine learning solutions. As the first dedicated global data engineering lead on the team, you will establish best-in-class data engineering practices, enabling our data scientists to focus on model development and analytics while ensuring data pipelines are reliable, secure, and scalable. This role will also partner closely with data governance professionals to embed governance and compliance requirements directly into our data architecture, ensuring data quality, lineage, and policy adoption across the enterprise. The Principal Data Engineer will: + Work closely with data scientists to understand their data needs and enable rapid experimentation through efficient, reusable pipelines. + Provide engineering support for feature engineering, data preparation, and production model integration. + Help create shared tools, libraries, and templates for AI/ML projects. + Design, develop, and maintain ETL/ELT processes and automated data pipelines across structured and unstructured sources. + Optimize data workflows for performance, scalability, and cost efficiency in cloud environments. + Implement robust data quality monitoring and logging solutions. + Build data architecture frameworks that support advanced analytics, AI, and reporting use cases. + Collaborate with data governance leads to ensure adoption of updated data policies across all engineering workflows. + Integrate data lineage tracking and metadata management into pipelines. + Ensure compliance with data privacy laws, security policies, and responsible AI guidelines. + Drive internal education and best practice sessions on compliant data handling. + Perform other related tasks as assigned by management Required Qualifications + Masteru2019s Degree / PhD + 4 yearsu2019 experience, OR Bacheloru2019s Degree + 6 yearsu2019 experience + Educational degree in quantitative field, such as Statistics, Mathematics, Computer Science, Data Science, Engineering, Economics, and/or related quantitative + Advanced proficiency in SQL and Python for data processing, transformation, and automation. + Hands-on experience building and optimizing ETL/ELT pipelines using tools such as Apache Airflow, dbt, Spark, or similar. + Strong understanding of data modeling, data warehousing, and distributed data processing frameworks. + Experience working with cloud-based data platforms (Azure, AWS, or GCP) and managed services (e.g., Snowflake, BigQuery, Databricks). + Proven experience using Dataiku (or similar AI/analytics platforms) for end-to-end data preparation, pipeline orchestration, and production deployment. + Ability to embed data governance principles directly into engineering workflows u2014 including data cataloging, lineage, and quality monitoring u2014 ideally within Dataiku. + Excellent collaboration and communication skills for working with data scientists, data governance professionals, and business stakeholders. + Experience interpreting and communicating analytic results to analytical and non-analytical business partners + Ability to travel both domestically and internationally may be required (~5-10%). + Ability to flex hours to accommodate multiple time zones when necessary. Preferred Qualifications + Advanced Dataiku expertise, including project design, flow optimization, automation scenarios, API integrations, and platform administration. + Experience setting Dataiku usage standards for large practitioner communities, including governance-compliant design patterns and role-based access controls. + Background in machine learning operations (MLOps) or supporting AI/ML workloads with engineered features and automated pipelines. + Familiarity with DataOps practices for CI/CD, testing, and monitoring of data pipelines. + Experience implementing security and privacy controls for sensitive datasets, including HIPAA, GDPR, or similar compliance frameworks. + Knowledge of streaming data technologies (Kafka, Kinesis, Spark Streaming). + Certifications in cloud platforms (Azure Data Engineer, AWS Big Data Specialty, Google Professional Data Engineer) or in Dataiku Core Designer / Advanced Designer. + Experience working in large matrixed organization, with Global footprint Required Skills: Preferred Skills: Advanced Analytics, Agility Jumps, Coaching, Critical Thinking, Data Engineering, Data Governance, Data Modeling, Data Privacy Standards, Data Science, Digital Fluency, Execution Focus, Hybrid Clouds, Organizing, Presentation Design, Technical Development, Technical Writing, Technologically Savvy The anticipated base pay range for this position is : $102,000.00 - $177,100.00 Additional Description for Pay Transparency: Subject to the terms of their respective plans, employees are eligible to participate in the Companyu2019s consolidated retirement plan (pension) and savings plan (401(k)). Subject to the terms of their respective policies and date of hire, employees are eligible for the following time off benefits: Vacation u2013120 hours per calendar year Sick time - 40 hours per calendar year; for employees who reside in the State of Colorado u201348 hours per calendar year; for employees who reside in the State of Washington u201356 hours per calendar year Holiday pay, including Floating Holidays u201313 days per calendar year Work, Personal and Family Time - up to 40 hours per calendar year Parental Leave u2013 480 hours within one year of the birth/adoption/foster care of a child Bereavement Leave u2013 240 hours for an immediate family member: 40 hours for an extended family member per calendar year Caregiver Leave u2013 80 hours in a 52-week rolling period10 days Volunteer Leave u2013 32 hours per calendar year Military Spouse Time-Off u2013 80 hours per calendar year

Created: 2026-02-05