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15 часов назад

Principal Software/Data Engineer (event architecture)

183 200 - 203 500$
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 Software/Data Engineer (event architecture): Designing and delivering production-grade streaming data pipelines for healthcare data platform with an accent on real-time processing, event-driven architectures, and data quality. Focus on engineering scalable solutions with Kafka, Flink, Spark Streaming, implementing observability, governance, and modernization to cloud-native technologies.

Location: Remote, USA with required travel to Mississauga and/or Salt Lake City offices for onboarding, team events, and meetings.

Salary: $183,200 - $203,500 USD a year + bonus + benefits

Company

Leading health tech company with the largest long-term and post-acute care dataset, serving over 30,000 provider organizations and integrating AI to improve healthcare outcomes.

What you will do

  • Lead design and implementation of scalable streaming data pipelines
  • Engineer and optimize real-time data solutions using Kafka, Flink, Spark Streaming
  • Collaborate with product, analytics, and AI teams to make data a strategic asset
  • Advance modernization with event-driven architectures and cloud-native technologies
  • Drive data governance, observability, performance tuning for streaming workloads
  • Embed data quality through schema contracts, tests, assertions, and automated checks

Requirements

  • 10+ years in software/data engineering, including 4+ years in streaming/real-time systems
  • Experience driving technical direction, mentoring, and hands-on delivery of high-scale solutions
  • Deep expertise in Kafka, Flink, Spark Streaming, event-driven architectures, distributed systems
  • Cloud platforms (AWS, Azure, GCP), containerized deployments
  • Data quality practices, CI/CD, schema management, testing (dbt, Great Expectations)
  • Observability with metrics, logging, tracing, alerting; data governance, Lakehouse (Databricks, ADLS Gen2, Hudi)

Nice to have

  • Strong analytical and problem-solving mindset
  • Quick learner adapting to new technologies
  • Self-starter with collaboration skills
  • Comfortable leveraging AI tools

Culture & Benefits

  • Benefits from Day 1: retirement plan matching, flexible PTO, wellness programs
  • Parental & caregiver leaves, fertility & adoption support
  • Continuous development support, employee assistance program
  • Allyship and inclusion communities, employee recognition
  • Flexibility, growth opportunities, AI training and tools integration

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