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3 дня назад

Principal Java Data Engineer

156 000 - 174 000CAD
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Canada
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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TL;DR
Principal Java Data Engineer (Data Platforms): Designing and maintaining large-scale data platforms and batch and real-time pipelines based on Java microservices with an accent on lakehouse architectures, event-driven systems, data quality, and observability. Focus on building resilient distributed pipelines, enforcing schema and validation contracts, implementing metrics and tracing, and mentoring engineers as a hands-on technical leader.

Location: Hybrid in Mississauga, Canada, with residence within commuting distance of the office required

Salary: CAD 156,000–174,000 per year, plus bonus and benefits

Company

hirify.global is a privately held health technology company providing a healthcare platform and data ecosystem for long-term and post-acute care providers across North America.

What you will do

  • Lead the design and implementation of scalable distributed systems using Java microservices.
  • Build and optimize batch and real-time data pipelines with Apache Hudi, Apache Trino, Azure ADLS, and related technologies.
  • Advance event-driven architecture, cloud-native modernization, and containerized data workloads.
  • Implement data quality controls, schema contracts, transformation tests, assertions, and automated freshness, completeness, and accuracy checks.
  • Establish observability through metrics, logging, distributed tracing, SLAs, SLOs, alerting, and dashboards for data pipelines.
  • Provide technical leadership, mentor engineers, and collaborate with product, analytics, and AI teams.

Requirements

  • At least 10 years of professional software or data engineering experience, including at least 4 years focused on batch and streaming data pipelines.
  • Hands-on experience leading technical direction, mentoring engineers, and delivering high-scale solutions.
  • Strong knowledge of event-driven architectures, distributed systems, resilient low-latency pipelines, and cloud platforms such as AWS, Azure, or GCP.
  • Experience with data quality, schema management, automated testing, validation frameworks, CI/CD, and data governance.
  • Experience with observability tools and practices, including metrics, logging, tracing, alerting, and performance optimization.
  • Experience with lakehouse and big data technologies, including Apache Hudi, Azure ADLS Gen2, HDFS, Trino, Databricks, and Spark.

Culture & Benefits

  • Benefits begin on the first day of employment.
  • Retirement plan matching and flexible paid time off.
  • Wellness support, employee assistance, and parental, caregiver, fertility, and adoption programs.
  • Continuous development support and employee recognition programs.
  • Inclusive employee communities and a collaborative, quality-focused engineering culture.

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