Generative AI Data Engineer | Cloud Pipelines & Automation

Johnson & Johnson

New Brunswick (NJ)

On-site

USD 79,000 - 127,650

Full time

14 days+

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Benefits offered by this job

Medical, dental, and vision insurance
401(k) savings plan
Generous vacation and paid time off
Parental leave

Job summary

Johnson & Johnson is hiring a Data and Generative AI Engineer in New Brunswick, NJ. The role requires a strong background in software development, data engineering, and generative AI. The candidate will design and implement innovative AI solutions and oversee data pipelines.

With a minimum of 4 years of experience required and a preference for advanced degrees, this position offers competitive pay between $79,000 - $127,650.

Join a dynamic team committed to cutting-edge technology and meaningful work in healthcare.

Qualifications

  • Minimum of 4 years of relevant industry experience.
  • Ability to work and collaborate with a distributed team.
  • Familiarity with large language models and generative AI concepts.

Responsibilities

  • Design, develop, and maintain software solutions.
  • Collaborate with teams to define and design new features.
  • Monitor system performance and solve issues to ensure optimal operation.
  • Automate data pipelines and orchestrate workflows.

Skills

Software development
Data engineering
Generative AI
Cloud technologies
Python
Data modeling
ETL processes
Problem-solving

Education

Bachelor's degree in Computer Science or related field
Master's degree preferred

Tools

Databricks
AWS
Azure

Job description

Johnson & Johnson is hiring a Data and Generative AI Engineer in New Brunswick, NJ. The role requires a strong background in software development, data engineering, and generative AI. The candidate will design and implement innovative AI solutions and oversee data pipelines.

With a minimum of 4 years of experience required and a preference for advanced degrees, this position offers competitive pay between $79,000 - $127,650.

Join a dynamic team committed to cutting-edge technology and meaningful work in healthcare.

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