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Staff Data Engineer (Healthcare)

Формат работы
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
Staff Data Engineer (Healthcare): Designing and maintaining scalable data pipelines, enterprise data warehouse architecture, and data visualization solutions with an accent on data quality, security, and reliability. Focus on real-time data replication and streaming, dimensional modeling, high-volume orchestration, and embedding analytics into multi-tenant healthcare applications.

Location: Overland Park, Kansas, United States; onsite. Applicants for U.S.-based positions must be legally authorized to work in the United States.

Company

hirify.global develops healthcare technology and data solutions that support data-driven decision-making.

What you will do

  • Lead data architecture, data modeling, and integration standards for the enterprise data warehouse.
  • Build and maintain scalable data pipelines, infrastructure, and business intelligence solutions.
  • Improve performance, scalability, reliability, accessibility, and security across data workflows.
  • Collaborate with data scientists, analysts, solutions partners, and other stakeholders to improve data quality.
  • Influence code reviews and train teammates on data security, architecture, governance, and quality automation.
  • Participate in an on-call rotation and work additional or irregular hours when needed.

Requirements

  • Bachelor’s degree or equivalent work experience.
  • 8–12 years of relevant professional experience.
  • Experience with data architecture, enterprise data warehousing, data integration, and dimensional modeling.
  • Proficiency in Python, SQL, and Terraform.
  • Experience with scalable data infrastructure, pipeline orchestration, and data security.
  • Legal authorization to work in the United States is required; employment eligibility will be verified at hire.

Nice to have

  • Experience with HVR, Fivetran, DataStream, or similar CDC and replication tools feeding BigQuery in real time or near real time.
  • Experience with Apache Kafka, Google Cloud Pub/Sub, Dataflow, Airflow, dbt, Dataform, or similar platforms.
  • Experience with Tableau, Looker, or Sisense and embedded analytics for multi-tenant SaaS applications.
  • Healthcare industry experience and knowledge of Google Cloud Platform data services.
  • Experience with AI-assisted coding, LLM integration, or prompt engineering for data workflows.

Culture & Benefits

  • Collaborative, inclusive environment focused on innovation and independent thinking.
  • Medical, prescription, dental, and vision benefits.
  • Mental health support through an employee assistance program.
  • Generous paid time off and 13 paid holidays.
  • 100% vested 401(k) plan and educational assistance of up to $2,500 per year.

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