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2 часа назад

Senior Software Engineer, Data (GCP)

180 000 - 230 000CAD
Формат работы
remote (только Canada)
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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Описание вакансии

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TL;DR

Senior Software Engineer, Data (GCP): Building and evolving data pipelines and platforms for post-purchase e-commerce experiences with an accent on scalability, data modeling, and embedded analytics. Focus on designing high-volume ETL processes using Airflow and BigQuery and preparing the data layer for agentic AI integration.

Location: Remote (Must be based in Canada and able to work within EST/EDT hours)

Salary: $180,000 - $230,000 CAD

Company

hirify.global is a post-purchase platform helping thousands of brands simplify the delivery and return experience for millions of consumers.

What you will do

  • Design and operate data pipelines processing terabytes of transactional data daily using Airflow/Composer and BigQuery.
  • Own end-to-end data models and transformations for merchant analytics and ML features.
  • Build and maintain embedded analytics infrastructure for direct merchant interaction.
  • Evolve the GCP data platform, including Cloud SQL, AlloyDB, and CDC datastreams.
  • Improve data quality and reliability through testing, observability, and validation frameworks.
  • Prepare the data layer for agentic and LLM-powered use cases through semantic clarity and standardized metric definitions.

Requirements

  • 5–8 years of experience building and operating production data systems.
  • Strong SQL skills and proficiency in Python, including experience building and maintaining APIs.
  • Experience with cloud data warehouses (GCP preferred) and orchestration via Airflow.
  • Deep understanding of dimensional modeling, slowly changing dimensions, and incremental processing.
  • Must be based in Canada and work within EST/EDT hours.
  • Active use of AI and agentic coding tools as part of the development workflow.

Nice to have

  • Experience in startup or high-ownership environments.
  • Experience building multi-tenant data products or embedded analytics.
  • Interest in making data accessible to AI systems via semantic layers and metadata.
  • Knowledge of cost optimization and data governance.

Culture & Benefits

  • Fully remote work arrangement.
  • High-impact role working with data from 1,500+ brands and billions of interactions.
  • Environment that values judgment and ownership over credentials.
  • Culture focused on innovation, collaboration, and professional celebration.

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