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 in the job description.
Microsoft/azure data ecosystem
Operationalizing ai
Scalable data platforms
Johnson & Johnson is seeking a hands-on Senior IT Analyst specializing in Data Engineering for their Irvine, California location. The role focuses on building and maintaining scalable data platforms, operationalizing AI, and collaborating with various teams to ensure data quality and governance

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 Natural Language Processing (NLP) techniques to enhance data interpretation and drive insights from unstructured text data within structured datasets.
  • Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law.

Matching Summary

Match Score: 85

Johnson & Johnson is seeking a hands-on Senior IT Analyst specializing in Data Engineering for their Irvine, California location. The role focuses on building and maintaining scalable data platforms, operationalizing AI, and collaborating with various teams to ensure data quality and governance.

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 for an immediate family member, 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
  • operationalizing AI
  • scalable data platforms
  • inference pipelines
  • ETL/ELT pipelines
  • Python and/or PySpark programming

Nice-to-have

  • AI data models
  • LLMs
  • Power BI
  • Azure Cognitive Services
  • Responsible AI toolkits

Key Requirements

  • Bachelor's Degree required
  • 1-2 years in data engineering
  • Experience operationalizing predictive models
  • Familiarity with SQL as primary query language

Work Rights

Not specified

Tailored Resume

Cover Letter