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24 часа назад

Senior Data Modeler (Healthcare)

110 000 - 160 000$
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

Текст:
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TL;DR
Senior Data Modeler (Healthcare): Managing enterprise data models and transforming multimodal clinical data into a common data model with an accent on healthcare informatics, SQL, and data architecture. Focus on designing data models across transactional and analytical systems, validating clinical endpoints, and implementing traceable data-quality monitoring.

Location: Chicago, United States

Salary: $110,000–$160,000 annually for Illinois; $120,000–$170,000 for NYC/Boston. Compensation may vary for California, Colorado, and New York.

Company

hirify.global develops a precision-medicine platform that connects multimodal healthcare and clinical data to support treatment decisions and cardiovascular research.

What you will do

  • Manage an enterprise data model integrating clinical records, EHR, ECG, radiology, and other complex healthcare data domains.
  • Create and maintain entity-relationship diagrams, data dictionaries, API specifications, and data translation documentation.
  • Design and implement transformations from source systems into a common data model.
  • Collaborate with clinicians and data scientists to define and validate clinical endpoint features.
  • Implement proactive data-quality monitoring with traceability to source systems and profile partner data for completeness.
  • Educate engineering teams on data-modeling standards, rules, and best practices.

Requirements

  • Healthcare and informatics data domain knowledge.
  • Experience with data-modeling techniques including 3NF, dimensional modeling, star schemas, and data vault.
  • Advanced SQL skills in an enterprise data-warehouse environment.
  • Knowledge and practical experience with ETL/ELT and BI architectures, concepts, and frameworks.
  • Experience architecting solutions across relational, MPP, and NoSQL database technologies.
  • Experience with data-modeling tools such as Erwin, Vertabelo, or Lucidchart.

Nice to have

  • Experience with GCP architecture, particularly BigQuery.
  • Experience with clinical and cardiovascular data, Epic tables, or HL7.
  • Experience writing and debugging Python, working with dbt, or implementing master, reference, or metadata management solutions.

Culture & Benefits

  • Work in small, autonomous, cross-functional teams.
  • Build and deploy software on a modern Python, dbt, BigQuery, and GCP technology stack.
  • Use decentralized microservice architecture and automation to deliver scalable solutions.
  • Benefits may include incentive compensation, restricted stock units, medical coverage, and other benefits depending on the position.

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