Principal Data Engineer: Safety Analytics & AI on GCP

6084-Janssen Research & Development, LLC Legal Entity; Horsham (PA); On-site; USD 102,000 - 177,000; Full time

Job summary

Johnson & Johnson is seeking a Principal Data Engineer to lead safety analytics data engineering on Google Cloud Platform (GCP). You will own data pipelines, quality, and governance, enabling AI/ML and GenAI workflows within Global Medical Safety.

Strong collaboration with scientists and IT is required. The role emphasizes regulatory readiness, reproducibility, and scalable architectures using BigQuery, Dataform, Terraform, and CI/CD tools.

Qualifications

• Master's degree in Computer Science, Engineering, or a related field.
• 5+ years of data engineering or analytics engineering experience.
• Proficient in Python and SQL.
• Deep understanding of data architecture for analytics and ML.
• Experience implementing data contracts, data validation, and governance.

Responsibilities

• Design and maintain production-grade data pipelines for pharmacovigilance analytics.
• Ensure reproducible, explainable, and trusted analytics outputs.
• Enable AI/ML and GenAI workflows for safety analytics.
• Implement embeddings, vector representations, and semantic retrieval.
• Lead end-to-end data lifecycle and governance across GCP pipelines.

Skills

Python

SQL

Data engineering

GCP

APIs

Education

Master's degree in Computer Science or related field

Tools

Terraform

Jenkins

BigQuery

Dataform

GKE

Cloud Run

Job description

Johnson & Johnson is seeking a Principal Data Engineer to lead safety analytics data engineering on Google Cloud Platform (GCP). You will own data pipelines, quality, and governance, enabling AI/ML and GenAI workflows within Global Medical Safety.

Strong collaboration with scientists and IT is required. The role emphasizes regulatory readiness, reproducibility, and scalable architectures using BigQuery, Dataform, Terraform, and CI/CD tools.