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2 часа назад

Staff Data Engineer

160 000 - 205 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

Текст:
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TL;DR
Staff Data Engineer (BigQuery/dbt/Airflow): Designing and delivering scalable data pipelines, models, and quality frameworks for analytics, reporting, product, and operational use cases with an accent on data architecture, reliability, and self-service analytics. Focus on leading technical design, optimizing cloud data transformations, mentoring engineers, and solving complex data platform incidents.

Location: Remote, Canada

Salary: $160,000–$205,000 CAD per year

Company

hirify.global develops online gaming, sports betting, sports media, and entertainment technology as part of PENN Entertainment.

What you will do

  • Design, build, and maintain scalable data pipelines for analytics, reporting, product, and operational use cases.
  • Develop, test, and optimize dbt models, dimensional models, semantic models, and analytical data models.
  • Manage data orchestration platforms, including Airflow, with exposure to Dagster.
  • Drive data architecture decisions, engineering standards, data quality frameworks, observability, governance, metadata, lineage, and data ownership.
  • Partner with stakeholders and platform teams to improve data reliability, scalability, and performance and provide actionable analysis.
  • Lead technical design reviews, mentor engineers, support hiring and onboarding, and participate in incident response and root cause analysis.

Requirements

  • Bachelor’s degree in Computer Science, Data Engineering, Statistics, Information Systems, Business, or a related field.
  • 8+ years of experience in data engineering, analytics engineering, or a related discipline.
  • Hands-on expertise with BigQuery, dbt, Airflow, Python, SQL, and modern cloud data platforms.
  • Experience with Google Cloud Platform services including BigQuery, Cloud Storage, Pub/Sub, and Cloud Composer.
  • Strong knowledge of data warehousing, ETL/ELT design patterns, dimensional modeling, cloud data transformation pipelines, automated testing, monitoring, and data observability.
  • Proficiency with Git workflows, CI/CD pipelines, data visualization tools, stakeholder management, and leading complex cross-team projects.

Nice to have

  • Exposure to Azure data platforms and services.
  • Experience with Looker, Mode, Tableau, or similar data visualization and exploration platforms.

Culture & Benefits

  • Competitive compensation package with benefits and bonus eligibility for most non-sales positions.
  • Fun, relaxed work environment.
  • Education and conference reimbursements.
  • Career progression opportunities and mentoring.

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