Senior It Analyst - Data Engineering

J&J FAMILY OF COMPANIES

Irvine, California, United States of America
Base: $92,000.00 - $148,350.00; bonus/equity: not ...
Not specified
Microsoft azure data ecosystem
Design, build, and run scalable data platforms
Operationalizing ai and ml models
Johnson & Johnson is seeking a Senior IT Analyst specializing in Data Engineering to design and operate scalable data platforms within their healthcare innovation sector. The ideal candidate should have strong expertise in Microsoft Azure technologies and experience with operationalizing AI and machine learning models

Job Summary

  • The role will involve design, build, and run scalable data platforms and inference pipelines that enable analytics, ML model training and production inference.
  • Implement CI/CD, infrastructure-as-code and automated deployment for data workflows and model artifacts.
  • The anticipated base pay range for this position is : $92,000.00 - $148,350.00

Matching Summary

Match Score: 85

Johnson & Johnson is seeking a Senior IT Analyst specializing in Data Engineering to design and operate scalable data platforms within their healthcare innovation sector. The ideal candidate should have strong expertise in Microsoft Azure technologies and experience with operationalizing AI and machine learning models.

Salary

Base: $92,000.00 - $148,350.00; Bonus/Equity: Not specified; Benefits: Vacation –120 hours per calendar year, Sick time - 40 hours per calendar year, Holiday pay –13 days per calendar year, Work, Personal and Family Time - up to 40 hours per calendar year, Parental Leave – 480 hours, Bereavement Leave – 240 hours, Caregiver Leave – 80 hours, Volunteer Leave – 32 hours per calendar year, Military Spouse Time-Off – 80 hours per calendar year

Skills & Requirements

Must-have

  • Microsoft Azure data ecosystem
  • design, build, and run scalable data platforms
  • operationalizing AI and ML models
  • ETL/ELT pipelines
  • Python and/or PySpark programming
  • SQL query language
  • Responsible AI principles

Nice-to-have

  • AI data models and LLMs
  • Azure Machine Learning and MLOps
  • Power BI and BI tools
  • Azure Cognitive Services and OpenAI
  • storytelling for executive leadership

Key Requirements

  • Bachelor's Degree required
  • 1-2 years in data engineering, ETL, platform engineering
  • Experience operationalizing predictive models
  • Experience with Microsoft/Azure data stack

Work Rights

Not specified

Tailored Resume

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