Senior Data Engineer

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. Running a small business today isn’t like it used to be—the way we consume and deliver service is changing rapidly, technology is evolving, and customers expect more. That’s why we put the power and flexibility in their hands to run their businesses how, where, and when they want! 

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. With an Executive team that has over thirty years of industry experience of leading the way, we’ve come a long way from our first customer in 2011—but we’ve just scratched the surface of what we want to accomplish for our customers.

We help employees grow professionally; we have a ton of onboarding resources, tutorials, hackathons and buddies to support learnings and provide opportunities to innovate. We have a range of experience levels on teams which allows for mentor/mentee opportunities. Leaders at Jobber work with empathy and support employees to build healthy work-life harmony. Bring your dedication and passion to this job to fulfill your goals

The Customer Information Automation team

Your “Customer Information Automation” team leverages cloud-based architectural patterns, such as event-driven architecture and microservices, ensuring our partners and supporting systems have the information they need when they need it.  Speed, accuracy, and reliability are paramount for our success.

This is an opportunity to play a pivotal role in the evolution of our platform, driving forward-thinking solutions that will shape our future success.  You will work in an environment that values both technical expertise and leadership, where your contributions will have a significant impact on the team and the broader organization.

Join us, and be a part of this innovative team, strategic in its approach in solving complex , impactful challenges!

The role:

We are seeking a highly skilled and intrapreneurial Senior Data Engineer with a strong backend focus to lead the development and evolution of our Data Integration Platform.  The ideal candidate designs and maintains scalable data pipelines, ensuring seamless data operations with integrity.  When developing automated tools and frameworks, they empower other internal teams to leverage that data effectively, enhancing workflow efficiencies and enabling data-driven decision-making.  Collaborating with cross-functional teams, they drive business growth by extracting actionable insights from the data and continuously innovating our data infrastructure to support the company's strategic objectives.  This role is crucial in our mission and to meet our lofty, future goals.

At Jobber we never stop growing and learning, and you shouldn’t either.  Through continuous 1:1s, dedicated feedback and support from your manager and our Talent Development team, and your own sense of curiosity, we hope you develop to another level with your skill set.

As our Data Engineer, you will:

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.


• Day-to-day experience working closely with software engineering teams, fostering a collaborative environment for data-driven development.

Accelerate Business Growth

• Work closely with data analysts, data scientists, and product teams to facilitate the extraction of actionable insights.


• Use tools like Airflow and dbt to streamline ETL/ELT workflows, ensuring seamless data flow and integration.

Strategize, Plan, & Innovate

• Lead initiatives to research and propose emerging technologies, strengthening our data stack with a focus on performance, scalability, and maintainability.


• 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 across the organization.

As our Data Engineer, your core skills include:

Data Engineering and Infrastructure

• Experience with Reverse ETL into operational tools (such as Salesforce, Hubspot, Zendesk) through APIs or tools such as Census, High Touch, or Rudderstack or similar.


• Deep understanding of data warehousing principles, including dimensional modeling and star schemas.


• Experience with CI/CD practices and optimizing data flow within high-volume, scalable infrastructures.

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 to create reliable and scalable data solutions.


• Expertise in developing scripts, serverless applications, and automated workflows to ensure data integrity and accessibility.

Communication and Collaboration

• Ability to explain complex data concepts to both technical and non-technical stakeholders.


• You can work independently, collaborating with cross-functional teams and stakeholders to meet data needs and contribute to data-driven decision-making.

It would be really great (but not a deal-breaker) if you had:

• Experience with Data Catalog tools, AWS S3 & Glue, Apache Iceberg, and FiveTran.


• Familiarity with Kafka for real-time stream processing and message queuing.


• Hands-on experience with NoSQL databases and working knowledge of RESTful and GraphQL APIs for seamless data integrations.

And the work environment:

At Jobber you will 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.