The Principal Data Engineer role at Johnson & Johnson's Global Medical Safety team focuses on building robust data engineering solutions for safety analytics using AI, Machine Learning, and GenAI on Google Cloud Platform. This senior-level position involves designing and maintaining production-grade data pipelines, ensuring data quality and compliance, and enabling advanced analytical capabilities. Key responsibilities include end-to-end ownership of the data lifecycle, architectural decisions, and technical leadership in collaboration with various teams to deliver reliable analytics for safety decision-making. The ideal candidate should have extensive experience in data engineering, proficiency in Python and SQL, and a deep understanding of cloud concepts on GCP, along with expertise in implementing data governance practices and designing microservices-based architectures. This role is crucial for enabling pharmacovigilance activities and ensuring regulatory compliance within the pharmaceutical industry.
Skills
Google Cloud Platform
Terraform
Python
SQL
BigQuery
Dataform
Jenkins
CI/CD
Kubernetes
GCP Certification
AI
Machine Learning
GenAI
RAG Patterns
Semantic Retrieval
API Design
Microservices
Cloud Run
GKE
Data Governance
Schema Versioning
Data Contracts
SDLC
Agile Methodologies
What you'll do
Design and maintain production-grade data pipelines for pharmacovigilance activities.
Ensure data engineering solutions produce trusted analytics outputs for safety decision support.
Enable AI/ML workflows for safety analytics, including feature engineering and semantic retrieval.
Own the end-to-end data lifecycle on Google Cloud Platform (GCP) to ensure integrity and compliance.
Establish and enforce data quality standards and governance practices for safety datasets.
Apply GxP validation expertise to data pipelines and supporting infrastructure for regulatory readiness.
What we're looking for
5+ years of data engineering experience with increasing responsibilities.
Proficient programming skills in Python and SQL.
Deep understanding of data architecture for analytics and machine learning.
Experience implementing data governance practices and cloud concepts on GCP.
Ability to design and operate APIs and microservices-based architectures.
Solid understanding of SDLC, Agile methodologies, and project management.
Experience enabling AI/ML workflows for analytical applications.
Market check
Salary context
This
$102,000–$177,100
range sits above
28%
of similar postings on FindRole.
Peer median band
$130,295–$220,000
Median floor and ceiling across peers.
Typical midpoint (25–75%)
$134,450–$214,500
Middle half of comparable postings.
Based on 239 comparable postings.*
* 240 is the maximum number of comparable postings sampled.
Employer
About Johnson & Johnson
Johnson & Johnson is a multinational corporation operating in three main segments: consumer health products, pharmaceuticals, and medical devices, known for brands like Tylenol, Band-Aid, and Janssen. Industry: Pharmaceuticals & Medical Devices
Johnson & Johnson currently has
46 open roles
on FindRole.
Listed pay typically runs
$122,000–$211,025
across 45 roles with salary data.