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2 дня назад

Senior Business Intelligence Engineer (Healthcare)

89 000 - 121 400$
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

Текст:
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TL;DR
Senior Business Intelligence Engineer (Healthcare): Building and supporting claims-related data pipelines, curated datasets, reporting layers, Power BI dashboards, and Databricks data engineering solutions with an accent on complex SQL, data discovery, and healthcare analytics. Focus on migrating data environments to Databricks, translating ambiguous stakeholder requests into scalable solutions, and supporting AI/ML and generative AI use cases with structured and unstructured healthcare data.

Location: Remote nationwide within the United States; occasional travel to hirify.global offices for training or meetings may be required.

Salary: $89,000–$121,400 per year, plus eligibility for a bonus incentive plan.

Company

hirify.global is a U.S. healthcare and insurance company providing insurance and healthcare services to Medicare, Medicaid, individual, family, military, and community members.

What you will do

  • Maintain and enhance claims-related data pipelines, curated datasets, semantic and reporting layers, dashboard refresh processes, and recurring analytics assets.
  • Partner with market, finance, operations, corporate, and technology stakeholders to translate ambiguous business requests into scalable data and reporting solutions.
  • Research source systems, data ownership, business definitions, lineage, data availability, and technical approaches for claims-related requests.
  • Write complex, performant SQL queries and develop Power BI dashboards, reports, and analytical products.
  • Build and support Databricks pipelines, transformations, workflows, and automation.
  • Support migration to Databricks and contribute to AI/ML and generative AI initiatives using structured and unstructured healthcare data.

Requirements

  • Undergraduate degree.
  • At least 5 years of SQL experience, including complex queries across multiple data sources.
  • At least 2 years of Databricks data engineering experience building and maintaining pipelines, workflows, and transformations.
  • Experience developing business intelligence dashboards and reports with Power BI or similar visualization tools.
  • Analytical problem-solving skills, including data discovery and handling ambiguous business requests.
  • Strong verbal and written communication skills for collaboration with technical and non-technical stakeholders.

Nice to have

  • Advanced degree.
  • Python or PySpark experience in data engineering, analytics, automation, or AI/ML.
  • Experience with AI/ML, generative AI, or retrieval-augmented generation in Databricks or a similar cloud analytics platform.
  • Healthcare claims, provider, finance, or operations analytics experience.
  • Experience with automated ETL/ELT, data platform migration, cloud modernization, lakehouse analytics, or PowerApps.

Culture & Benefits

  • Full-time schedule of 40 hours per week.
  • Medical, dental, and vision benefits.
  • 401(k) retirement savings plan, paid time off, holidays, and paid parental and caregiver leave.
  • Short- and long-term disability coverage, life insurance, and additional wellness benefits.
  • Home or hybrid home/office workers need a dedicated space to protect member PHI and HIPAA information; minimum internet speeds are 25 Mbps download and 10 Mbps upload.

Hiring process

  • Initial application prescreen may be followed by a pre-recorded voice, text, or video interview through HireVue.
  • Recorded interviews are reviewed before candidates are invited to subsequent interview rounds.

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