Principal Data Engineer – Safety Analytics (Global Medical Safety)
AI summary of the role
Principal-level individual contributor data engineer providing technical leadership within Johnson & Johnson's Global Medical Safety (GMS) Safety Analytics organization.
No longer in the current catalog. Last included 2026-09-09. Check the employer’s posting for availability.
What you’ll do
- Design and maintain production-grade data pipelines and curated datasets supporting pharmacovigilance activities, safety monitoring, analytics, and regulatory reporting.
- Enable AI/ML and GenAI workflows for safety analytics, including feature engineering, embeddings, semantic retrieval, and Retrieval-Augmented Generation (RAG) patterns.
- Own end-to-end data lifecycle for safety analytics, from source intake through transformation, serving, and downstream consumption, ensuring data continuity, traceability, and integrity.
- Establish and enforce data quality, validation, lineage, and observability standards; define data governance practices including data contracts, schema versioning, and access control.
What you’ll bring
- Master’s degree in Computer Science, Engineering, or a related field (or equivalent experience).
- 5+ years of experience in data engineering or analytics engineering with increasing responsibilities.
- Proficient programming skills in Python and SQL.
- Deep understanding of data architecture for analytics and ML (batch/streaming, modeling, performance optimization).
Technologies
Python · SQL · Google Cloud Platform (GCP) · BigQuery · Dataform · Terraform · Jenkins · Cloud Run · GKE · RAG
About Johnson & Johnson
Develops and commercializes prescription medicines and medtech across oncology, immunology, neuroscience, cardiovascular, surgery, orthopaedics, and vision for patients and health systems worldwide.
Public · 5000+ people
Source and classification
Internal deployment & tooling · Evidence for this classification:
Analytics organization. This role is focused on building and enabling modern safety analytics tools using AI, Machine Learning, and GenAI, underpinned by robust, compliant, and scalable data engineering on Google Cloud Platform (GCP). The Principal Data Engineer is responsible for end-to-end ownership of safety analytics data engineering, spanning data intake, data quality and continuity, pipeline and architecture design, automation, performance optimization, and compliance. The role enables advanced analytical, machine learning, and predictive capabilities for pharmacovigilance and serves as a technical data engineering leader within Global Medical Safety. This is a Principal-level individual contributor role with broad technical influence, working closely with safety scientists, analytics teams, data scientists, IT, and platform partners to deliver trusted, production-grade
More from the job description
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. 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 As 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. Job Function: Data Analytics & Computational Sciences Job Sub Function: Data Engineering Job Category: Scientific/Technology All Job Posting Locations: Horsham, Pennsylvania, United States of America, Titusville, New Jersey, United States of America Job Description: About Innovative Medicine Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow. Join us in developing treatments, finding cures, and pion [... source excerpt omitted ...] individual contributor role with broad technical influence, working closely with safety scientists, analytics teams, data scientists, IT, and platform partners to deliver trusted, production-grade analytics capabilities for safety decision-making. Key Responsibilities Safety Analytics & Pharmacovigilance Enablement Design and maintain production-grade data pipelines and curated datasets that directly support pharmacovigilance activities, including safety monitoring, analytics, and regulatory reporting. Ensure data engineering solutions produce reproducible, explainable, and trusted analytics outputs suitable for safety decision support and inspection readiness. Enable AI/ML an [... source excerpt omitted ...] practices, including data contracts, schema versioning, access control, stewardship, and lifecycle management. Ensure safety analytics data and systems meet Global Medical Safety requirements for reliability, auditability, and regulatory use. GxP Validation & Regulatory Readiness Apply GxP validation expertise to data pipelines, analytics services, and supporting infrastructure. Partner with quality and compliance teams to implement CSV/CSA-aligned controls, audit trails, documentation, and organizational change. Balance delivery velocity and innovation with the rigor required for regulated pharmacovigilance systems. Services, APIs & Microservices Design and build APIs and mic
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