Data Engineer (Business Data)

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.

NOTE: This role can be worked remotely from the above location(s).

What You'll Do

  • 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.

What You'll Bring

  • 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.

You'll Stand Out If You 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.

Compensation

At FreshBooks, we approach each individual's compensation with a promise of fair market value and internal equity commensurate with experience and specific skill set.

The total compensation for this role ranges from CA$102,400 - CA$128,000 per year, which may include participation in our incentive programs. Additionally, this position offers an equity grant and immediate enrollment in FreshBooks' comprehensive benefits program, detailed below.

NOTE: This posting is reflective of an existing vacancy at FreshBooks.

Perks And Benefits

We understand that you'll weigh many factors when deciding if FreshBooks is the right next step in your career. Here are some of our offerings for our employees (we call ourselves ✨ FreshBookers✨) to support their growth:

  • 🩺 Comprehensive health and wellness benefits. Generous time off including a flexible vacation plan, a 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 dependent on your region, and more.
  • 📚 Perks that matter. Including a Peer Recognition Program
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