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6 дней назад

Principal Data Engineer (Healthcare)

148 100 - 214 700$
Формат работы
remote (только USA)/onsite
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
Principal Data Engineer (Healthcare): Building and optimizing clinical-data databases and ETL pipelines across cloud platforms with an accent on data modeling, data quality, and reliable delivery architecture. Focus on designing scalable data flows, integrating heterogeneous sources, and applying advanced analytics and machine learning to large healthcare datasets.

Location: Rochester, Minnesota, United States; Remote. Monday–Friday schedule; 10%+ travel may be required. Visa sponsorship and transfer are not available.

Salary: $148,100–$214,700 per year

Company

hirify.global is a major healthcare provider and research organization focused on patient care, clinical data, and enterprise health services.

What you will do

  • Design, implement, document, and test databases containing clinical data.
  • Build ETL pipelines from heterogeneous data sources using cloud technologies such as Google Cloud and Microsoft Azure.
  • Use SQL, Python, and other programming languages to assemble complex datasets for business and analytical needs.
  • Create data architecture, optimize databases, and define data transformation, structures, and workflows.
  • Conduct data profiling and quality reviews and recommend improvements to data management processes.
  • Collaborate with informaticists, clinicians, software engineers, and data scientists while managing projects and guiding other team members.

Requirements

  • Master’s degree in engineering, mathematics, computer science, health science, or another quantitative field, plus at least five years of professional or research experience; alternative degree and experience combinations are specified.
  • Expertise in data modeling, data analysis, data profiling, database design, and data quality.
  • Proficiency in SQL and at least one additional data-engineering language, such as Python or Scala.
  • Experience with one or more cloud technologies, including Amazon Web Services, Google Cloud, or Microsoft Azure.
  • Ability to manage concurrent projects, prioritize varied workloads, communicate effectively, and provide technical and consultative leadership.
  • Must be eligible to work in the United States; visa sponsorship, visa transfer, and F-1 STEM OPT sponsorship are not available.

Nice to have

  • Ph.D. or advanced degree in computer science, engineering, or a quantitative field.
  • Experience with clinical data, healthcare trends, predictive and prescriptive modeling, machine learning, or data mining.
  • Experience providing enterprise-level consulting services and leading seminars or training.

Culture & Benefits

  • Full-time position with 80 hours per pay period.
  • Medical, dental, and vision plan options.
  • HSA and FSA options for eligible expenses.
  • Competitive retirement package and continuing education opportunities.
  • Work is primarily scheduled Monday–Friday.

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