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2 дня назад

Senior Data Engineer (Healthcare)

150 000 - 180 000$
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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Описание вакансии

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TL;DR

Senior Data Engineer (Healthcare): Designing and managing scalable data assets and pipelines for healthcare transformation with an accent on EMR integration, secure HIPAA transformations, and cloud data platforms. Focus on spearheading the discovery of new datasets and setting the architectural standard for data engineering practices.

Location: Remote (United States)

Salary: $150,000 - $180,000 USD

Company

hirify.global is an AI-driven healthcare technology company that leverages machine learning and behavioral science to optimize hospital operations and improve patient care.

What you will do

  • Lead the design, development, and management of scalable data assets and high-availability pipelines.
  • Spearhead the discovery, evaluation, and integration of new datasets, collaborating with stakeholders to ensure relevance to core products.
  • Develop secure, HIPAA-compliant transformations to normalize information across various hospital workflows and EMR sources (e.g., FHIR).
  • Translate analytical vision into highly functional data structures and scheduled transformation pipelines.
  • Establish and guide architectural standards for data engineering practices to foster a culture of innovation.

Requirements

  • Must be based in the United States.
  • Proven expertise in quality data pipeline design, development, and optimization for applications and ML.
  • Advanced ability to interpret complex datasets, identify anomalies, and extract meaningful insights.
  • Strong cross-functional communication skills to explain technical components to non-technical partners.
  • Ability to independently lead ambiguous data initiatives from inception to completion.

Nice to have

  • 5+ years of experience operating scalable cloud-based data platforms in production.
  • Relevant certifications (e.g., Databricks Certified Data Engineer, AWS Solutions Architect, SnowPro, Microsoft Fabric, or dbt).
  • Experience with MLOps and maintaining machine learning models and infrastructure.
  • Proficiency with data visualization tools such as Sigma, Looker, or Tableau.
  • Degree in Computer Science, Engineering, or a related field.
  • Prior experience in the healthcare domain.

Culture & Benefits

  • Open Paid Time Off and paid parental leave.
  • Professional development support, wellness, and technology stipends.
  • Employee stock option awards and generous referral bonuses.
  • Mission-driven environment focused on impacting the lives of patients and doctors.
  • Remote-first work culture within the US.

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