Senior Data Engineer, ML Platform

About Jobber

Are you ready to take the ML Platform to the next level and help MLEs move 10x faster? Then Jobber might be the place for you! We’re looking for a Senior Data Engineer to be part of our ML Platform 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. 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 ML Platform Team

The ML Platform team at Jobber is at the beginning of an exciting journey—building a scalable, self-serve platform that empowers data scientists and ML engineers to deliver models faster and scale with ease. We’re laying the foundation for ML across key functions like Revenue, Marketing, Finance, Sales, Support, and Risk.

This is a rare opportunity to shape the foundations of the ML platform at Jobber. If you’re excited to blend software engineering, data engineering, infrastructure, and knowledge of machine learning into a high-leverage role, we’d love to hear from you.

The Role

Reporting to the Director of Data at Jobber, the Senior Data Engineer will be a part of the ML Platform team at Jobber that builds and enhances the various components of the ML Platform to improve ML model development workflows. In this role, you will enable ML Engineers and Data Scientists to easily explore data, build pipelines to land features, test models and deploy to production.

The Senior Data Engineer, ML Platform will:

• Advance Our ML Platform: Continue enhancing our Ray-based ML Platform by building capabilities that reduce friction across the entire ML lifecycle—from experimentation to deployment and monitoring.
• Streamline Model Deployment: Design and implement tools and workflows to significantly shorten the time it takes to get models into production, ensuring both scalability and reliability.
• Enable Multi-Stage Environments: Expand our platform’s environment infrastructure to support seamless development, staging, and deployment of multiple model versions with robust testing pipelines.
• Collaborate Cross-Functionally: Partner with data scientists and ML engineers to gather requirements, define success criteria, and deliver on project milestones across the model development lifecycle.
• Build & Maintain Inference Pipelines: Design, implement, and operate production-grade data pipelines that support model inference while meeting defined SLOs for performance and reliability.
• Evolve the Feature Store: Proactively develop capabilities for our feature store to support a diver