Principal Data Engineer – Safety Analytics

Johnson & Johnson

Principal Data Engineer focused on building modern safety analytics tools for Johnson & Johnson. Leading data engineering efforts in Global Medical Safety using AI and Machine Learning.

Posted 7/23/2026full-timeHorsham • New Jersey, Pennsylvania • 🇺🇸 United StatesLead💰 $102,000 - $177,100 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and maintaining data pipelines and architectures for safety analytics, ensuring compliance with Global Medical Safety requirements. Proficient in implementing data governance practices and enabling AI/ML workflows to support regulatory reporting and decision-making.

Highest-signal resume keywords

Data Pipeline DesignGCP (Google Cloud Platform)Python ProgrammingData Governance PracticesAI/ML Workflows

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Applicant Tracking System Keywords

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Hard Skills

Data EngineeringAnalytics EngineeringSQL ProgrammingData ArchitectureFeature EngineeringAPI DevelopmentMicroservices ArchitectureData ValidationSchema VersioningInfrastructure as Code (Terraform)

Soft Skills

Excellent CommunicationInterpersonal SkillsTeamworkCustomer ServiceProject Management

Tools & Technologies

BigQueryDataformCloud RunGKEJenkins

Certifications & Qualifications

GCP Certification

Industry Keywords

PharmacovigilanceLife SciencesHealthcareRegulatory ComplianceGxP Validation

Tech Stack

Tools & technologies

BigQueryCloudGoogle Cloud PlatformJenkinsMicroservicesPythonSDLCSQLTerraform

About the role

Key responsibilities & impact

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 and GenAI workflows for safety analytics, including: Feature engineering and feature store enablement, Embeddings, vectorized representations, and semantic retrieval, Retrieval-Augmented Generation (RAG) patterns for safety analytics tools.
Own the end-to-end data lifecycle for safety analytics, from source system intake through transformation, serving, and downstream analytical consumption, ensuring data continuity, traceability, and integrity.
Lead architectural decisions across ingestion, transformation, storage, and serving layers on GCP (e.g., BigQuery, Dataform, object storage).
Design, implement, and automate scalable, reusable data pipelines and architectures to support evolving safety analytics needs.
Establish and enforce data quality, validation, lineage, and observability standards for safety analytics datasets.
Define and implement data governance 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.
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.
Design and build APIs and microservices-based architectures to operationalize safety analytics and ML capabilities (e.g., feature serving, retrieval services, analytics backends).
Deploy and operate services on GCP (e.g., Cloud Run, GKE) with a strong focus on security, scalability, and observability.
Serve as a technical authority and data engineering leader for Safety Analytics within Global Medical Safety.
Review and influence designs across pipelines, services, feature stores, and AI/ML integrations to maintain a high technical bar.
Collaborate closely with safety scientists, epidemiologists, biostatisticians, analytics teams, IT, and platform partners to translate safety needs into scalable technical solutions.
Communicate complex technical concepts and tradeoffs clearly to both technical and non-technical stakeholders.

Requirements

What you’ll need

Master’s degree in Computer Science, Engineering, or a related field (or equivalent experience) is required.
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 (e.g., batch/streaming, modeling, performance optimization).
Proven ability to translate complex problems into clear, concise, and testable programming code/tools.
Experience implementing data contracts, data validation, schema versioning, and governance practices, as well as a solid understanding of leading cloud concepts (GCP preferred).
Experience designing and operating APIs and microservices-based architectures.
Excellent written and verbal communication, customer service, interpersonal, and teamwork skills to foster a collaborative team environment.
Solid understanding of SDLC and Agile methodologies, alongside basic project management skills.
Experience building production workloads on Google Cloud Platform (GCP) is preferred.
Experience provisioning infrastructure using Terraform (Infrastructure as Code) and building CI/CD pipelines (e.g., Jenkins) is preferred.
Experience in pharmaceuticals, life sciences, healthcare, or a related regulated domain is preferred.
GCP certification is preferred.
Experience enabling AI/ML and GenAI workflows (e.g., feature engineering, RAG patterns, semantic retrieval) for analytical applications is preferred.

Benefits

Comp & perks

Vacation –120 hours per calendar year
Sick 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
Holiday pay, including Floating Holidays –13 days per calendar year
Work, Personal and Family Time - up to 40 hours per calendar year
Parental Leave – 480 hours within one year of the birth/adoption/foster care of a child
Bereavement Leave – 240 hours for an immediate family member: 40 hours for an extended family member per calendar year
Caregiver Leave – 80 hours in a 52-week rolling period
Volunteer Leave – 32 hours per calendar year
Military Spouse Time-Off – 80 hours per calendar year