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4 дня назад

Analytics Engineer, Unity (Healthcare)

120 000 - 150 000$
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

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TL;DR
Analytics Engineer, Unity (Healthcare) (dbt/SQL/Python): Building scalable analytics-ready data products and maintainable data models for pharmacy benefit management and care navigation with an accent on healthcare data transformation, data quality, auditability, and self-service analytics. Focus on designing production-grade dbt models, optimizing cloud data warehouse performance, implementing testing and observability, and enabling AI-assisted analytics engineering.

Location: Remote

Salary: $120,000–$150,000 per year; compensation depends on geographic location, experience, and qualifications.

Company

hirify.global is a healthcare technology company that helps patients find better care and medications through a mobile platform, clinicians, pharmacists, and on-demand health guides. The company is headquartered in New York City and has satellite offices in Denver and Dallas.

What you will do

  • Design, build, and maintain scalable dbt-based data models supporting pharmacy benefit management and care navigation.
  • Transform complex pharmacy benefits and healthcare workflows into transparent, maintainable, and auditable data products.
  • Partner with analytics, data engineering, clinical, product, client success, operations, and business stakeholders.
  • Implement automated data quality checks, testing frameworks, reconciliation processes, documentation, lineage, and observability.
  • Optimize data models and cloud warehouse performance for large-scale datasets and self-service business intelligence.
  • Build data foundations for AI-assisted insight generation and future agentic analytics engineering use cases.

Requirements

  • 3+ years of experience in analytics engineering, data modeling, data warehousing, or a related field.
  • Strong experience with dbt and advanced SQL; experience developing transformations and workflows with Python.
  • Understanding of dimensional modeling, medallion architecture, semantic modeling, and scalable data architecture.
  • Experience with production-grade data models, data quality testing, documentation, and cloud warehouses such as Amazon Redshift, Snowflake, or BigQuery.
  • Experience orchestrating and monitoring pipelines with tools such as Apache Airflow or Dagster, preferably in AWS environments.
  • Familiarity with Git, CI/CD, pull requests, testing, deployment workflows, and AI-assisted engineering practices.

Nice to have

  • Experience with Claude, Claude skills, Model Context Protocol, or similar AI-enabled development and analytics tooling.

Culture & Benefits

  • Remote work arrangement.
  • Work on healthcare products focused on improving patient outcomes and reducing healthcare costs.
  • Environment centered on human-first collaboration, constructive debate, grit, and continuous improvement.
  • Inclusive workplace committed to equal employment opportunity and diverse perspectives.

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