Senior It Analyst - Data Engineering

Johnson & Johnson

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
Johnson & Johnson is seeking a Senior IT Analyst - Data Engineering to design and operate scalable data platforms and inference pipelines, with a focus on operationalizing AI within their Microsoft data and cloud ecosystem. The ideal candidate will have a strong background in data engineering and analytics, with expertise in ETL/ELT processes and machine learning integration

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 - Data Engineering to design and operate scalable data platforms and inference pipelines, with a focus on operationalizing AI within their Microsoft data and cloud ecosystem. The ideal candidate will have a strong background in data engineering and analytics, with expertise in ETL/ELT processes and machine learning integration.

Salary

Base: $92,000.00 - $148,350.00; Bonus/Equity: Not specified; Benefits: Vacation, Sick time, Holiday pay, Work/Personal/Family Time, Parental Leave, Bereavement Leave, Caregiver Leave, Volunteer Leave, Military Spouse Time-Off

Skills & Requirements

Must-have

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

Nice-to-have

  • storytelling techniques for executive leadership
  • AI-driven insights for sales strategies
  • Responsible AI principles

Key Requirements

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

Work Rights

Not specified

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