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17 часов назад

Senior Data Engineer, Event Data

145 000 - 185 000CAD
Формат работы
remote (только Canada)
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
Senior Data Engineer, Event Data (Elixir/Python): Building and operating event streaming pipelines, analytical databases, and data services that process client and internal data at billions-event scale with an accent on high-volume ingestion, low-latency access, and reliable event processing. Focus on integrating legacy and modern architectures, defining data contracts, and building observability for highly available systems.

Location: Toronto, Canada (Remote)

Salary: CAD 145,000–185,000 base pay annually, with a possible additional bonus and benefits.

Company

hirify.global develops content personalization solutions for marketers using data-activated content generation and AI decisioning.

What you will do

  • Design, build, and maintain event streaming pipelines ingesting data from client systems, internal services, and third-party sources.
  • Develop analytical databases and data models optimized for high-volume queries and low-latency access.
  • Build production Elixir and Python services for event processing, transformation, and routing.
  • Integrate legacy event pipelines with modern streaming infrastructure and design low-risk migration paths.
  • Implement monitoring, alerting, observability, SLA tracking, and data quality standards.
  • Collaborate with data platform, product engineering, analytics, and data-producing teams on reliable event data products.

Requirements

  • 6+ years of experience in data engineering or backend/systems engineering, focused on event-driven and streaming systems.
  • Strong Elixir and/or Python skills for application connectors, data services, and pipeline components.
  • Advanced SQL skills and production experience with columnar or OLAP databases.
  • Experience with stream processing frameworks or message brokers such as Apache Flink, Kafka, Pulsar, or Kinesis.
  • Experience operating data systems on AWS, production data pipelines, Infrastructure-as-Code tools, and system migrations.
  • Ability to lead design discussions, write technical specifications, and collaborate across teams.

Nice to have

  • Experience with Flink, Databricks, GCP, or retail event data such as clickstream, purchase, and product interaction events.

Culture & Benefits

  • Medical, financial, and other benefits are provided.
  • Work on a newly formed team shaping a critical event data domain.
  • Collaborate with teams across a global organization serving clients in multiple regions.
  • Inclusive workplace committed to equal opportunity and diverse perspectives.

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