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4 часа назад

Senior Back End Engineer (Data Platform)

150 000 - 190 000CAD
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
Senior Back End Engineer (Data Platform) (Spark/data platform): Building reliable Spark-based data pipelines and platform services for complex sales compensation calculations with an accent on data modeling, scalability, and production reliability. Focus on designing deterministic data systems, improving observability and data quality, and translating complex business requirements into maintainable platform capabilities.

Location: Toronto, Canada; most of the team works in the EST time zone, with some members in PST and Central time zones.

Salary: 150,000–190,000 CAD per year.

Company

hirify.global is a Series B SaaS startup building sales compensation software that manages billions in annual commissions for enterprise customers.

What you will do

  • Design, build, and improve Spark-based data pipelines and platform services.
  • Work with complex data models covering sales compensation plans, hierarchies, relationships, and enterprise datasets.
  • Build deterministic data systems and improve testing, observability, data quality, reliability, and scalability.
  • Translate complex business requirements into scalable data designs with Product, Engineering, and Analytics.
  • Participate in system design discussions, design reviews, code reviews, technical discussions, and knowledge sharing.
  • Use AI tooling to improve delivery speed while maintaining strong engineering standards.

Requirements

  • Strong production experience building data or backend systems.
  • Experience with Spark or similar data processing and ETL frameworks.
  • Proficiency in a production-grade language such as Python, Java, Scala, Kotlin, Go, or C#.
  • Strong SQL, relational schema design, and data modeling skills.
  • Experience with large-scale, hierarchical, graph-like, relationship-heavy, or workflow-driven datasets.
  • Ability to reason through technical tradeoffs, identify risks, and improve scalability, reliability, observability, or maintainability.

Nice to have

  • Experience building SaaS products for mid-market or enterprise customers.
  • Experience with rule-driven systems, validation workflows, calculation engines, or approval platforms.
  • Familiarity with AWS, Kubernetes, graph databases, or graph-based modeling.
  • Exposure to Sales Performance Management, RevOps, or incentive compensation.

Culture & Benefits

  • Low-meeting environment with a strong focus on ownership and accountability.
  • Employee stock ownership plan in addition to base compensation.
  • Medical, dental, vision, disability, and life insurance, plus paid parental leave.
  • $750 annual training stipend and opportunities for individual contributor or people-leadership growth.
  • Collaborative, inclusive, and customer-focused working culture.

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