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1 день назад

Data Engineer (Azure/Databricks)

88 200 - 132 300$
Формат работы
remote (только USA)/hybrid
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 (Azure/Databricks): Building and maintaining reliable data pipelines and API integrations for healthcare revenue cycle analytics, operational reporting, and data-driven decision making with an accent on cloud data platforms, data quality, and platform modernization. Focus on developing scalable solutions with SQL, Databricks, Spark, Python, and Azure while supporting distributed processing, event-driven architectures, and healthcare data integrations.

Location: Remote nationwide within the United States; candidates must reside in and be authorized to work in the United States and be willing to travel to and work onsite at client, temporary, or corporate locations as business needs require.

Salary: $88,200–$132,300 per year, based on experience.

Company

hirify.global provides technology-enabled revenue cycle management and point solutions for hospitals, health systems, and affiliated physician groups across the United States.

What you will do

  • Develop, test, deploy, and maintain data pipelines and API integrations using established engineering patterns.
  • Translate defined product and business requirements into reliable technical solutions.
  • Implement data quality checks and monitor pipelines to support accurate production data.
  • Participate in design discussions and code reviews while contributing to platform modernization.
  • Use generative AI tools to support development, troubleshooting, and code quality improvements.
  • Document solutions and operational processes and resolve data issues with senior engineers.

Requirements

  • At least 3 years of hands-on experience developing solutions with Microsoft SQL.
  • At least 2 years of experience with big data and cloud technologies, including Databricks, Apache Spark, Python, and Microsoft Azure services such as ADF, Dataflows, Azure Functions, and Service Bus.
  • Experience with automated testing, code reviews, telemetry, DevOps practices, EDI, Delta Lake, and Parquet in ADLS.
  • Working knowledge of distributed data processing and event-driven architectures.
  • Ability to collaborate with technical and non-technical partners and take accountability for deliverables.
  • Must reside in and be authorized to work within the United States; applications from outside the United States will not be considered.

Nice to have

  • Experience working with healthcare data.
  • Familiarity with HL7.

Culture & Benefits

  • Comprehensive healthcare, time off, retirement, and well-being benefits.
  • Professional certification opportunities and tuition reimbursement.
  • Quarterly and annual incentive programs.
  • Culture focused on collaboration, growth, innovation, and work-life flexibility.
  • Remote work with onsite travel when business needs require.

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