Principal Data Engineer - Safety Analytics & AI on GCP

Johnson & Johnson Innovation; New Jersey; On-site; USD 170,000 - 230,000; Full time

Job summary

Johnson & Johnson Innovation is seeking a Principal Data Engineer to lead safety analytics data engineering on Google Cloud Platform (GCP). You will own end-to-end data lifecycle, data quality, and governance for pharmacovigilance analytics, enabling AI/ML workflows and secure, scalable data services.

You’ll collaborate with safety scientists, analytics teams, IT, and platform partners to deliver trusted analytics capabilities, while ensuring regulatory readiness and auditability across

Qualifications

• Master’s degree in Computer Science, Engineering, or closely related field.
• 5+ years of data engineering or analytics engineering experience.
• Proficient in Python and SQL with data pipelines and ML/AI workflows.

Responsibilities

• Design and maintain production-grade data pipelines for pharmacovigilance analytics.
• Lead data architecture decisions across ingestion, storage, and serving on GCP.
• Enforce data quality, governance, and compliance for safety analytics.
• Build APIs and microservices to operationalize analytics and ML capabilities.

Skills

Python

SQL

Data pipelines

Cloud architecture

GxP & Regulatory

Education

Master’s degree in CS/Engineering

Tools

GCP

BigQuery

Dataform

Terraform

Jenkins

GKE

Job description

Johnson & Johnson Innovation is seeking a Principal Data Engineer to lead safety analytics data engineering on Google Cloud Platform (GCP). You will own end-to-end data lifecycle, data quality, and governance for pharmacovigilance analytics, enabling AI/ML workflows and secure, scalable data services.

You’ll collaborate with safety scientists, analytics teams, IT, and platform partners to deliver trusted analytics capabilities, while ensuring regulatory readiness and auditability across