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FreshBooks Logo FreshBooks · IT - Software Development

Data Engineer (Business Data)

Canada, Toronto Employment contract 102400.00 - 128000.00 CAD / Year · Job Posted June 15, 2026
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Job Description

As a Data Engineer on the R&D Team, you will help FreshBooks build and evolve high-quality, trusted data assets that power analytics, business decision-making, and machine learning initiatives. You will focus on data modeling, transformation, and domain-oriented data architecture, working closely with Product, Analytics, and Machine Learning teams to ensure data is well-structured, well-documented, and easy to consume. You will contribute to building scalable, reliable datasets that serve as a foundation for reporting, experimentation, and operational use cases, with exposure to both batch and event-driven data.

Job Responsibility

  • Architect, design, and develop clean, high-performance datasets using modern tools like dbt and BigQuery, focusing on usability and scalability for analytical consumption
  • Be a key contributor to our domain-oriented data architecture, defining how core business entities (e.g., customers, payments) are modeled, governed, and exposed across the organization
  • Build and maintain robust batch and streaming data pipelines that transform raw data into trusted, analytics-ready assets to support both near real-time and traditional use cases
  • Collaborate closely with Analytics, Product, and Machine Learning teams to translate complex requirements into reusable, well-governed data models and contracts
  • Champion data quality, reliability, and documentation by implementing rigorous testing, validation, and monitoring practices
  • Leverage cutting-edge tools, including AI/agentic workflows, to accelerate development, enhance productivity, and improve data exploration and lineage
  • Participate in code reviews, contribute to improving engineering standards, and partner with platform teams to ensure our data solutions meet ambitious performance, cost, and scalability goals

Requirements

  • 2+ years of experience working in data engineering, analytics engineering, or a related field
  • Experience building and maintaining data models and transformation pipelines (e.g., dbt or similar tools)
  • Strong SQL skills and proficiency in Python (or similar language)
  • Solid understanding of data modeling concepts (e.g., dimensional modeling, normalization, data warehousing patterns)
  • Experience working with a cloud data warehouse (e.g., BigQuery, Snowflake, Redshift)
  • Familiarity with orchestrators such as Airflow, GCC, Dagster, Prefect (or similar tools)
  • Basic understanding or exposure to streaming/event-driven systems (e.g., Pub/Sub, Kafka, Kinesis, Dataflow)
  • Understanding of data quality, testing, and validation practices
  • Ability to work cross-functionally and communicate clearly with both technical and non-technical stakeholders

Nice to have

  • Experience in analytics engineering or working closely with analytics teams
  • Experience building or contributing to near real-time data pipelines
  • Familiarity with data governance, metadata management, or lineage tools
  • Experience using AI-assisted or agentic tools to improve development workflows
  • Experience in SaaS, fintech, or payments-related domains

What we offer

  • Comprehensive health and wellness benefits
  • Generous time off including a flexible vacation plan
  • Retirement savings program or pension plan matched to your local office
  • Stock options for every full-time employee
  • Parental leave and new parent support
  • Annual healthy living credit
  • Comprehensive medical and dental benefits
  • Fertility and gender-affirming benefits
  • Peer Recognition Program
  • Employee Assistance Program
  • Headphone credit
  • Meaningful in-person gatherings
  • Home office credit
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