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5 дней назад

Senior Software Engineer I - Data & Algorithm Engineering (Healthcare)

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 Software Engineer I - Data & Algorithm Engineering (Healthcare): Maintaining, improving, and expanding healthcare data models and Databricks pipelines with an accent on scalable backend systems, data processing, and patient insights. Focus on designing performant ETL and ingestion workflows, optimizing large-scale data systems, and monitoring models that support care delivery decisions.

Location: Remote, United States

Company

hirify.global develops healthcare technology that transforms complex patient data into actionable insights for partner practices and supports improved care delivery.

What you will do

  • Maintain, improve, and expand data models and Databricks pipelines for the Patient Domain.
  • Develop secure, maintainable, performant, correct, scalable, and stable backend solutions.
  • Turn complex healthcare data into well-defined insights about patients and their interactions with the healthcare system.
  • Design and execute technical roadmaps with Engineering Managers, Product Managers, and cross-functional stakeholders using Agile processes.
  • Mentor and coach junior engineers and provide thorough pull request reviews.

Requirements

  • Bachelor’s degree or higher in Computer Science, Engineering, or a related field.
  • 4+ years of experience building backend applications as part of a cross-functional engineering team.
  • 3+ years of experience with SQL or another database querying language on large, multi-table datasets.
  • 2+ years of experience making technical decisions that balance short-term and long-term business value.
  • 2+ years of experience coaching other engineers.
  • Experience with data engineering, data warehouses, backend languages, data pipelines, ETL, large-scale data processing, database systems, and performance optimization.

Nice to have

  • Experience with Snowflake, BigQuery, or Redshift in addition to Databricks.
  • Experience building data pipelines with Kafka or similar technologies.
  • Knowledge of database replication, sharding, scalability, and high availability.
  • Familiarity with Docker, Kubernetes, and CI/CD pipelines.
  • Experience with security and systems handling sensitive data.

Culture & Benefits

  • Full-time employment within the Technology – Engineering department.
  • Remote work arrangement for candidates in the United States.
  • Collaboration with engineering, product, and healthcare stakeholders.
  • Peer mentoring and continuous feedback through code reviews and coaching.

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