Onlano
Backend DevelopmentRemote

Principal Data Engineer at JobGet

JobGet - Company

Canada, ๐Ÿ‡จ๐Ÿ‡ฆ CanadaFull-time - Principal (10+ years)0 applicantsCloses Aug 7, 2026

Salary

CAD 160,000 - 190,000 / year

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Job description

Job details

  • Location: Canada
  • Work mode: Remote
  • Employment type: Full-time (Not an internship)
  • Salary: CAD 160,000 - 190,000 per year

Role overview

JobGet is seeking a Principal Data Engineer to lead the evolution of its data infrastructure. As a key technical leader, you will design and optimize scalable data pipelines that power the mobile-first hiring platform for everyday workers, ensuring seamless integration across acquired platforms like Snagajob and Seasoned.

Job details

This is a Full-time position based in Canada. The role operates in a Remote capacity. This is not an Internship. The offered salary range for this position is 160,000 CAD to 190,000 CAD.

Responsibilities

  • Architect and implement robust data pipelines to support high-volume hiring data.
  • Lead the integration of data streams from multiple acquired platforms into a unified system.
  • Optimize data warehouse performance and ensure high availability of critical datasets.
  • Collaborate with cross-functional teams to define data strategy and governance standards.
  • Mentor senior engineers and drive technical excellence across the data organization.

Requirements

  • Over 10 years of experience in data engineering or backend software development.
  • Proven track record of designing scalable distributed systems and data architectures.
  • Expertise in modern data stack tools and cloud-based data warehousing solutions.
  • Strong proficiency in Python, SQL, and big data processing frameworks.
  • Experience leading technical strategy in a fast-paced, growth-oriented environment.

Benefits

  • Competitive annual salary range of 160,000 - 190,000 CAD
  • Flexible remote work environment
  • Opportunity to shape the future of frontline hiring technology
  • Collaborative international team culture

Keywords

Data EngineeringETL PipelinesBig DataCloud InfrastructureSQLPythonData ArchitectureScalability