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2 часа назад

Data Engineer, Enterprise Data, Analytics and Innovation, Digital Innovation (Healthcare)

110 000 - 125 000$
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
Data Engineer, Enterprise Data, Analytics and Innovation, Digital Innovation (Healthcare) (Python/SQL, Lakehouse): Building and operating reliable lakehouse and transactional data pipelines for healthcare and scientific communications with an accent on data quality, governance, scalability, and accessibility. Focus on integrating varied data sources, productionizing analytics and predictive tools, and optimizing pipeline reliability and cloud data platform performance.

Location: United States; 100% remote, with opportunities for local meet-ups.

Salary: $110,000–$125,000 per year

Company

hirify.global is an independent, purpose-driven healthcare and scientific communications network serving biopharmaceutical companies in oncology and hematology.

What you will do

  • Design, build, operate, and monitor reliable ETL and ELT pipelines in Python and SQL across lakehouse Bronze, Silver, and Gold layers.
  • Maintain ingestion from transactional MySQL systems into Vaniam Core and integrate third-party, client-provided, and product-generated data sources.
  • Develop schemas, tables, views, documentation, data quality checks, lineage tracking, and governance controls.
  • Collaborate with product, innovation, Data Science, and AI teams to productionize analytics, predictive features, dashboards, APIs, and decision-support tools.
  • Monitor execution, storage, cluster performance, cost efficiency, and uptime while troubleshooting bottlenecks and data issues.
  • Conduct code reviews, enforce engineering standards, and contribute to CI/CD practices for data pipelines.

Requirements

  • 5+ years of professional experience in data engineering, ETL, or related roles.
  • Strong proficiency in Python and SQL for data engineering.
  • Hands-on experience building and maintaining pipelines in a lakehouse or modern data platform, including practical knowledge of Medallion architecture.
  • Experience with Spark or PySpark, workflow orchestration such as Airflow or dbt, testing and observability frameworks, Docker, and Git-based version control.
  • Strong communication, problem-solving, collaboration, and data governance skills, including security, privacy, compliance, and access control.
  • Must be based in the United States; approved AI tools are used to streamline routine tasks, research, analysis, and workflow management.

Nice to have

  • Experience with Databricks and the Microsoft Azure ecosystem.
  • Expertise with Delta Lake, metadata management, and data catalogs.
  • Healthcare, scientific, or engagement data experience.
  • Experience exposing analytics through APIs or lightweight microservices.

Culture & Benefits

  • Fully remote work environment with flexible scheduling and local meet-ups.
  • Medical, dental, and vision benefits.
  • Generous parental leave and Flexible Time Off.
  • 401(k) plan with company match.
  • Professional growth and personal development through hirify.global University.
  • Wellness programs, Volunteer Time Off, Employee Assistance Programs, and employee discounts.

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