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19 часов назад

Principal Java Data Engineer

156 000 - 174 000CAD
Формат работы
remote (только United_states)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US/Canada
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 Java Data Engineer (Healthcare): Designing and implementing scalable distributed data systems and pipelines based on Java microservices with an accent on event-driven architectures, data governance, and observability. Focus on optimizing batch and streaming data workloads using Apache Hudi, Trino, Azure ADLS, embedding quality checks, and advancing Lakehouse modernization for high-scale healthcare platform.

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

CAD $156,000 - $174,000 + bonus + benefits

Company

Leading health tech company with the largest long-term and post-acute care dataset, serving 30,000+ providers and accelerating human-first healthcare with AI.

What you will do

  • Lead design and implementation of scalable Java microservices-based distributed systems
  • Engineer and optimize data pipelines with Apache Hudi, Apache Trino, Azure ADLS
  • Collaborate with product, analytics, and AI teams to make data a strategic asset
  • Advance event-driven architectures and cloud-native technologies adoption
  • Drive data governance, observability, performance tuning, and quality embedding in pipelines
  • Foster quality culture through peer reviews and knowledge sharing

Requirements

  • 10+ years in software/data engineering, including 4+ years on data pipelines (batch/streaming)
  • Experience driving technical direction, mentoring, and hands-on delivery of high-scale solutions
  • Strong event-driven architectures, distributed systems, resilient low-latency pipelines
  • Cloud platforms (AWS, Azure, GCP), containerized data workloads
  • Data quality practices, CI/CD, schema management, testing (dbt, Great Expectations)
  • Observability (metrics, logging, tracing, alerting), data governance, performance optimization
  • Lakehouse tech: Apache Hudi, Azure ADLS Gen2, HDFS, Trino, Databricks, Spark
  • Strong collaboration and communication to influence stakeholders

Culture & Benefits

  • Benefits from Day 1: retirement plan matching, flexible PTO
  • Wellness support programs, parental & caregiver leaves, fertility & adoption support
  • Continuous development support, employee assistance program
  • Allyship and inclusion communities, employee recognition
  • Flexibility, growth opportunities, meaningful impact in healthcare

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