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Director of Engineering, Data Products (Healthcare)

223 100 - 290 000$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
director
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Director of Engineering, Data Products (Healthcare): Building and scaling clinical data ingestion, canonical data models, and reusable data capabilities for an AI-enabled primary care platform with an accent on FHIR-based interoperability, data quality, and operational reliability. Focus on leading engineering teams, scaling multi-customer data onboarding, and designing secure data infrastructure for regulated healthcare environments.

Location: Remote - USA

Base salary: $223,100–$290,000 USD per year, plus equity and performance-based bonus opportunities.

Company

Counterpart Health, a subsidiary of hirify.global, develops an AI-enabled primary care platform that supports earlier diagnosis, chronic condition management, and value-based care.

What you will do

  • Own the technical roadmap for the Data Products platform, including clinical data ingestion, canonical data modeling, and ingestion scalability.
  • Manage and optimize clinical data pipelines, data hygiene, canonical storage standards, observability, and monitoring.
  • Scale customer data onboarding through standardized playbooks and improve data readiness across multiple customers.
  • Enable shared funnel visibility and support a robust enterprise reporting framework.
  • Lead adoption of AI-assisted software development workflows for coding, testing, and deployment while maintaining code quality and security.
  • Partner with the VP of Engineering and leaders in Product, Data Science, and Design to deliver the Data Products roadmap.

Requirements

  • 10+ years of engineering experience focused on high-scale data platforms, distributed systems, and interoperability standards such as FHIR and CCDA.
  • Experience managing and scaling engineering teams responsible for data-heavy workloads and complex clinical data pipelines.
  • Experience leading cross-functional engineering teams in regulated environments and working with HIPAA and SOC 2 requirements.
  • Experience implementing and scaling AI-assisted development workflows, automated testing, or AI-driven SDLC practices.
  • Strong understanding of clinical data complexity, data integrity, engineering sustainability, organizational change, resource allocation, capacity planning, and technical debt.
  • Must be based in the USA for this remote role.

Culture & Benefits

  • Remote-first work environment with flexibility to collaborate with global teams.
  • Medical, hospitalization, outpatient, optical, and dental coverage.
  • Annual leave, company holidays, paid parental leave, mental health resources, and No-Meeting Fridays.
  • Learning programs, mentorship, professional development funding, and regular performance feedback.
  • Office setup reimbursement and a monthly cell phone and internet stipend.

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