Senior Data Platform Engineer

CHG Healthcare

Base: $130,500 -- $252,300 annually; bonus/equity:...
Onsite
Decompose monolithic mysql system
Design distributed service-oriented architectures
Build identity resolution and deduplication systems
CHG Healthcare is seeking a Senior Data Platform Engineer to lead the transformation of its data architecture, enhancing the platform that connects physicians with employers. The ideal candidate will possess extensive experience in designing and building production data systems and will thrive in a dynamic, collaborative environment

Job Summary

  • The company is evolving its platform foundation to support faster product development and more intelligent, data-driven experiences for physicians and employers.
  • This role involves owning the data layer by decomposing a monolithic MySQL system into domain-oriented data stores and establishing data contracts between systems.
  • CHG Healthcare offers comprehensive benefits including a 401(k) match, onsite health centers, flexible work schedules, and paid parental leave.

Matching Summary

Match Score: 85

CHG Healthcare is seeking a Senior Data Platform Engineer to lead the transformation of its data architecture, enhancing the platform that connects physicians with employers. The ideal candidate will possess extensive experience in designing and building production data systems and will thrive in a dynamic, collaborative environment.

Salary

Base: $130,500 -- $252,300 annually; Bonus/Equity: Not specified; Benefits: 401(k) match, healthcare, wellness programs, paid time off

Skills & Requirements

Must-have

  • Decompose monolithic MySQL system
  • Design distributed service-oriented architectures
  • Build identity resolution and deduplication systems
  • Define canonical entities and schemas
  • Implement batch and streaming data pipelines

Nice-to-have

  • Experience with GCP BigQuery and dbt stacks
  • Familiarity with refactoring legacy monolithic systems
  • Ability to operate as a solo domain owner
  • Comfortable working in high ambiguity environments
  • Experience integrating AI LLM workflows

Key Requirements

  • 5–10+ years of software or data engineering experience
  • Proven experience designing production data systems
  • End-to-end ownership capability for data domains

Work Rights

Not specified

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