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4 дня назад

Principal Data Engineer (Healthcare)

155 000 - 184 000$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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TL;DR

Principal Data Engineer (Healthcare): Leading the design, development, and optimization of scalable data platforms and advanced analytics applications with an accent on distributed data processing and cloud-native architecture. Focus on building robust ETL/ELT workflows, driving architectural decisions for ML/AI-ready data pipelines, and ensuring high-performance data delivery for complex healthcare ecosystem solutions.

Location: Must be based in the US and available during EST or CST time zones.

Salary: $155,000–$184,000/yr

Company

HHAeXchange is a leading end-to-end homecare technology platform connecting patients, providers, and payers to improve care for aging populations and those with disabilities.

What you will do

  • Design and implement end-to-end data architectures and complex ingestion frameworks.
  • Build and optimize high-performance ETL/ELT workflows and distributed data processing systems.
  • Lead technical initiatives to ensure data quality, lineage, and governance across all platforms.
  • Define architectural direction and establish best practices for CI/CD, observability, and infrastructure-as-code.
  • Collaborate with engineering, product, and operations teams to translate business needs into scalable data solutions.
  • Mentor senior and junior engineering staff to promote engineering excellence.

Requirements

  • Must be located in the US and available for work in EST or CST time zones.
  • 8+ years of combined software and data engineering experience in distributed systems.
  • 5+ years of experience architecting and maintaining advanced reporting and analytics tools.
  • 3+ years of experience working within highly regulated industries (healthcare/homecare preferred).
  • Strong expertise in Python, SQL, and modern cloud data warehouses like Snowflake or BigQuery.
  • Demonstrated ability to influence architectural decisions and lead large-scale data projects.

Nice to have

  • Experience designing data platforms supporting AI/ML and LLM-driven workflows.
  • Knowledge of healthcare interoperability standards such as EHR or HL7/FHIR.
  • Hands-on experience with agentic AI development and AI-assisted tooling.

Culture & Benefits

  • Comprehensive US health insurance plans.
  • 401(k) retirement program with company-elected matching.
  • Generous paid time-off and company-paid holidays.
  • Collaborative environment focused on transforming healthcare technology.
  • Commitment to equal opportunity and professional growth.

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