Data Engineer: AI-Driven Analytics

Johnson & Johnson; Raritan (NJ); On-site; USD 63,000 - 105,000; Full time

Job summary

Johnson & Johnson is seeking a Data Engineer, Technology Services to be located in Raritan NJ. You will design and implement data and analytics solutions across multiple business areas, collaborating with Business Technology partners to drive innovative data products.

The role focuses on building scalable data pipelines, enabling BI, analytics, and data science use cases, while ensuring best practices in data engineering, cloud delivery, and governance.

Qualifications

• Bachelor's degree in Computer Science, Information Technology or related field.
• Minimum 2 years of professional data engineering experience, or 1 year with relevant co-ops.

Responsibilities

• Collaborate with Business Technology partners to understand solutions and priorities.
• Shape solution design aligned with Technology Service's roadmap.
• Design, develop, deploy and support scalable data pipelines and data products for BI, analytics and data science.
• Optimize data solutions for performance, reliability and cost.
• Articulate benefits of reusable patterns and products to adopters.
• Stay current with emerging data engineering and AI-assisted development technologies.

Skills

Data Engineering

Data Platforms

Cloud Engineering

Python

PySpark

SQL

Scripting

Education

Bachelor's degree in Computer Science, Information Technology or related field

Tools

Databricks

MS Fabric

Snowflake

AWS Redshift

AWS

Azure

Kubernetes

Power BI

Tableau

Git

CI/CD

Job description

Johnson & Johnson is seeking a Data Engineer, Technology Services to be located in Raritan NJ. You will design and implement data and analytics solutions across multiple business areas, collaborating with Business Technology partners to drive innovative data products.

The role focuses on building scalable data pipelines, enabling BI, analytics, and data science use cases, while ensuring best practices in data engineering, cloud delivery, and governance.