Data Engineer jobs in Canada

Then Jobber might be the place for you! We’re looking for a Senior Data Engineer to be part of our Data Integration team.

Jobber exists to help people in small businesses be successful. We work with small home service businesses, like your local plumbers, painters, and landscapers, to transform the way service is delivered through technology. With Jobber, they can quote, schedule, invoice, and collect payments from their customers while providing an easy and professional customer experience.

Our culture of transparency, inclusivity, collaboration, and innovation has been recognized by Great Place to Work, Canada’s Most Admired Corporate Cultures, and more. Jobber has also been named on the Globe and Mail’s Canada’s Top Growing Companies list, and Deloitte Canada’s Technology Fast 50, Enterprise Fast 15, and Technology Fast 500 lists.

The Data Integration team

The Data Integration team is responsible for the ingress and egress of data critical to analytics, reporting, and GTM decision-making at Jobber. The team manages various tools, systems, and services that move batch and event-based data between different internal and external systems.

This is an opportunity to play a pivotal role in the evolution of our data integration platform, driving forward-thinking solutions that increase the scalability, resiliency, and quality of our Data systems.

The role:

We are seeking a highly skilled Senior Data Engineer with a strong focus on data modelling, data engineering practices, and data standards. The ideal candidate will manage data ingress systems, manage pipelines that transform data, build models to improve integration with external CRM systems, and automate components of data ingress/egress.

Empower the Team

• Develop tools, frameworks, and workflows that reduce manual processes, enhance data accessibility, and enable data-driven decision-making.
• Build robust alerting and monitoring systems to maintain data quality and reliability.
• Collaborate across functions to support experiments and analyses that drive impactful business decisions.

Accelerate Business Growth

• Work closely with data platform engineers, data scientists, and product teams to sync data between Jobber and external systems.
• Use tools like Airflow and dbt to streamline ETL/ELT workflows.
• Build data models that enable easier integration and self-serve in the Data Integration Platform.

Strategize, Plan, & Innovate

• Lead initiatives to research and propose emerging technologies.
• Participate in design and code reviews, actively contributing to knowledge sharing and mentoring within the team.

Ensure Data Integrity

• Take ownership of data quality, establishing best practices to maintain high trust in data.

Data Engineering and Infrastructure

• Excellent ETL pipeline development skills with hands-on experience with Orchestration (Airflow).
• Experience with CI/CD practices and optimizing data flow within high-volume, scalable infrastructures.
• Experience with Data ingestion systems (Fivetran/Airbyte) and Reverse ETL systems (HighTouch/Census).

Building Scalable Data Platform Solutions

• Proficiency in designing, developing, and maintaining efficient batch and real-time data pipelines within a cloud infrastructure (preferably AWS).
• Strong skills in SQL, stream processing, Containerization (ECS orchestration), and AWS Lambda.

Communication and Collaboration

• Ability to explain complex data concepts to both technical and non-technical stakeholders.
• Work independently while collaborating with cross-functional teams to meet data needs.

• Experience with CRM systems (such as Salesforce, Hubspot, Zendesk).
• Experience with Data warehouses (Redshift) and Lakehouse (Iceberg / Delta).

And the work environment:

At Jobber, you can choose where you do your most impactful work from! You can work from home across Canada or in a hybrid setting from one of our offices in Edmonton (HQ) or Toronto.