Senior Data Engineer

7 days ago

Toronto, Ontario, Canada The Select Group Full time $120,000 - $180,000 per year

We are seeking a Senior Data Engineer to support the modernization of enterprise data systems that manage employees, store, and compensation-related data. You will focus on building a scalable, SOC-compliant architecture in BigQuery to unify logic, streamline pipelines, and deliver high-quality datasets for business units including retail, corporate, dealer, and call center operations. This is a hands-on role requiring strong technical depth, attention to compliance, and the ability to collaborate across cross-functional teams.

Senior Data Engineer Skills

  • 6+ years of experience in data engineering with strong relational and dimensional modeling skills
  • 3+ years of experience with BigQuery and GCP tools such as Dataflow, Pub/Sub, and Cloud Storage
  • Advanced SQL and Python skills for building and transforming data pipelines
  • Experience integrating data from ERP, CRM, or legacy enterprise systems
  • Familiarity with SOC-compliant or regulated data environments
  • Experience with tools like Pulumi/Terraform for managing data pipelines, schemas, and permissions via GitHub
  • Experience with enabling 'zero-copy' data models, like BQ sharing/Analytics Hub, publishing datasets to consumption layers for internal subscribers
  • Background in financial, compensation, or retail data domains preferred
  • Experience working in Agile delivery teams using CI/CD tools such as GitHub, Airflow, Terraform
  • Strong communication and collaboration skills across technical and business teams

Nice to have:

  • Experience working with compensation or incentive payout systems
  • Familiarity with enterprise hierarchy or org structure data
  • Exposure to data product development or building reusable data assets

Senior Data Engineer Responsibilities

  • Design and implement scalable data pipelines using BigQuery and Dataflow
  • Integrate and normalize complex datasets from various enterprise and legacy systems
  • Translate business logic into well-structured, auditable SQL-based data transformations
  • Build and maintain source-to-target mappings and orchestration for batch and real-time pipelines
  • Deconstruct and re-architect a legacy codebase to build new modular, scalable, and supportable data solution
  • Apply data modeling best practices to deliver clean, trusted, and maintainable datasets
  • Collaborate with architects, engineers, and product owners to align on technical delivery
  • Ensure pipelines meet data governance, compliance, and security requirements
  • Support pipeline optimization, issue triage, and performance tuning
  • Participate in Agile team ceremonies and contribute to a collaborative engineering culture

TSG is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

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