Artificial Intelligence Data Engineer Ii

LA Care Health Plan

Los Angeles, CA, US
Base: $105,267 - $173,689; bonus/equity: not speci...
On-site
Ai/ml data pipeline development
Python programming
Aws glue and snowflake
L.A. Care Health Plan is the nation’s largest publicly operated health plan, serving more than 2 million members with a mission to provide access to quality health care for vulnerable and low-income communities in Los Angeles County

Job Summary

  • L.A. Care Health Plan is the nation’s largest publicly operated health plan, serving more than 2 million members with a mission to provide access to quality health care for vulnerable and low-income communities in Los Angeles County.
  • The Artificial Intelligence Data Engineer II role involves designing scalable data pipelines, integrating diverse data sources, ensuring data quality, and implementing AI/ML solutions compliant with healthcare regulations.
  • L.A. Care offers a comprehensive benefits package including Paid Time Off, Tuition Reimbursement, Retirement Plans, Medical, Dental and Vision coverage, Wellness Programs, and Volunteer Time Off.

Matching Summary

L.A. Care Health Plan is the nation’s largest publicly operated health plan, serving more than 2 million members with a mission to provide access to quality health care for vulnerable and low-income communities in Los Angeles County.

Salary

Base: $105,267 - $173,689; Bonus/Equity: Not specified; Benefits: Paid Time Off, Tuition Reimbursement, Retirement Plans, Medical, Dental, Vision, Wellness Program, Volunteer Time Off

Skills & Requirements

Must-have

  • AI/ML data pipeline development
  • Python programming
  • AWS Glue and Snowflake
  • Data quality validation and lineage tracking
  • HIPAA and healthcare compliance
  • MLOps and CI/CD pipelines
  • Feature store management

Nice-to-have

  • Experience with FHIR and HL7 standards
  • GenAI project experience
  • Collaboration with data scientists
  • Analytical problem-solving skills
  • Effective communication with non-technical stakeholders
  • Documentation and reproducibility skills

Key Requirements

  • Bachelor's Degree in Computer Science or related field
  • At least 5 years data engineering experience
  • Minimum 2 years AI/ML data pipeline experience
  • Experience with healthcare regulatory compliance
  • AWS Certified Data Engineer preferred
  • Snowflake SnowPro Advanced preferred
  • GenAI and MLOps certifications preferred

Work Rights

Not specified

Tailored Resume

Cover Letter