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7 дней назад

Data Engineer (Healthcare)

102 300 - 143 200$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
middle
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
Data Engineer (Healthcare): Building and optimizing data architecture, pipelines, transformations, and data quality processes for healthcare business and analytics needs with an accent on SQL, data modeling, ETL, and large-scale data analysis. Focus on profiling complex datasets, investigating data issues, improving data delivery architecture, and supporting concurrent cross-functional data initiatives.

Location: Remote within the United States; Rochester, Minnesota. Monday–Friday during business hours with 10%+ travel.

Salary: $102,300–$143,200 per year.

Company

hirify.global is a major healthcare provider focused on patient care, medical research, and health services.

What you will do

  • Build and optimize data architecture, pipelines, transformations, metadata, dependencies, and workload-management processes.
  • Assemble, process, and analyze large and disconnected datasets using SQL, joins, unions, and data-mining techniques.
  • Investigate customer data requests, identify root causes, resolve data issues, and recommend solutions.
  • Perform data profiling, quality reviews, validation, testing, and improvement initiatives.
  • Research data sources and improve data solutions for functional and non-functional business requirements.
  • Support software developers, database architects, analysts, and data scientists across concurrent projects.

Requirements

  • Bachelor’s degree in Computer Science, Engineering, or a related field, or an associate degree with at least two years of experience.
  • Strong SQL skills and experience with data analysis, profiling, modeling, exploration, and mining.
  • Understanding of ETL, data quality, source-system databases, and data transformation.
  • Experience using tools such as Rapid SQL, AQT, Information Analyzer, or Informatics.
  • Strong analytical, problem-solving, planning, time-management, interpersonal, and customer-service skills.
  • Must be eligible to work in the United States; visa sponsorship, visa transfer, and F-1 STEM OPT extension support are not available.

Culture & Benefits

  • Full-time schedule with 80 hours per pay period.
  • Medical, dental, vision, HSA, and FSA options.
  • Competitive retirement package.
  • Continuing education and career advancement opportunities.
  • Employment benefits are available.

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