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15 часов назад

Principal Data Engineer (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

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TL;DR

Principal Data Engineer (Healthcare): Designing and scaling enterprise-grade data integration solutions for a health-tech platform with an accent on distributed processing, cloud architecture, and high-volume data pipelines. Focus on architecting fault-tolerant systems, establishing engineering standards, and ensuring security and compliance for mission-critical healthcare data workflows.

Location: Must be based in the US

Company

hirify.global is a health-tech company building a trusted data foundation for health plans to improve care outcomes and reduce costs through clean, reliable healthcare data.

What you will do

  • Architect and evolve high-volume batch and real-time data pipelines using PySpark, SparkSQL, and Databricks.
  • Develop end-to-end ingestion and transformation frameworks integrating Snowflake, AWS, and external APIs.
  • Lead technical design for complex client implementations, ensuring highly available and fault-tolerant architectures.
  • Establish and champion engineering best practices across CI/CD, testing, monitoring, and observability.
  • Design security-first data solutions ensuring alignment with HIPAA and SOC 2 requirements.
  • Mentor senior and junior engineers while driving technical excellence across the organization.

Requirements

  • 7+ years of experience designing and operating large-scale, distributed data systems in cloud environments.
  • Expert-level proficiency in Python, SQL, and PySpark.
  • Proven experience building production-grade ETL/ELT pipelines using Databricks or Airflow.
  • Strong working knowledge of AWS data services (S3, SQS, Lambda, IAM).
  • Hands-on experience with Snowflake, dbt, Delta Lake, or Kafka.
  • Working experience with healthcare data domains (claims, eligibility, clinical datasets).

Nice to have

  • Experience in large-scale healthcare payer or analytics environments.
  • Exposure to machine learning or advanced analytics workflows.
  • Familiarity with DevOps or platform engineering practices.

Culture & Benefits

  • Unlimited paid time off policy.
  • Comprehensive health coverage with multiple plan options.
  • Equity grants for every employee.
  • Home office setup allowance and monthly cell phone stipend.
  • Growth-focused environment with emphasis on professional development.

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