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 Data Platform team at Jobber:
As a Senior Data Engineer, reporting to the Manager of Data Engineering, you’ll be a key contributor on our Data Platform team.
Our team builds Jobber’s data infrastructure and systems, driving improved operational outcomes, enhancing workflow efficiencies, and generating critical business insights. We empower teams across the organization to fully leverage data, tools, and technology to achieve their goals. By researching, developing, and maintaining data systems, we provide essential operational and analytical support to ensure our internal teams are set up for success.
We're seeking individuals who are ready for their next challenge—those who want to use their expertise to influence people, processes, and decisions that have a direct impact on the company's trajectory.
The Senior Data Engineer will
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Build Scalable Data Solutions: Design, develop, and maintain batch and real-time data pipelines within cloud infrastructure (preferably AWS). Leverage Python, SQL, and AWS technologies (Glue, Lambda, ECS Fargate) to ensure smooth data operations. Build scripts, serverless applications, and automated workflows.
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Empower Internal Teams: Develop tools and frameworks that automate manual processes, set up alerting/monitoring systems, and help teams run data-driven experiments and analyze results. Work closely with cross-functional teams to support their needs and ensure data accessibility.
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Accelerate Business Growth: Collaborate with data analysts, scientists, and product teams to extract actionable insights from data. Utilize tools like Airflow and dbt to streamline ETL/ELT pipelines and ensure the seamless flow of data.
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Strategic Planning and Innovation: Lead initiatives to research and propose new technologies and tooling for our data stack, with an emphasis on performance and scalability. Participate in design and code reviews, continuously learning from and mentoring your peers.
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Data Integrity: Own the integrity of our data and maintain a high level of trust across the organization.
To be successful, you should have:
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Leadership Skills: Proven ability to lead and collaborate in team environments, fostering a culture of shared success.
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Technical Proficiency:
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Strong coding skills in Python and SQL.
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Expertise in building and maintaining ETL pipelines using tools like Airflow and dbt.
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Experience working with AWS data infrastructure, particularly Redshift, Glue, Lambda, and ECS Fargate.
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Familiarity with handling large datasets using tools like Spark or similar (e.g., Trino).
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Experience with Terraform for infrastructure management.
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Data Expertise:
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Experience with dimensional modelling, star schemas, and data warehousing in a cloud environment (preferably AWS Redshift).
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Knowledge of CI/CD processes, data ingestion, and optimizing data flow across systems.
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Proficient in working with high-volume, scalable data infrastructure.
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Strong Communication: Ability to collaborate effectively with both technical and non-technical teams, explaining complex data concepts in a clear and concise manner.
It would be really great (but not a deal-breaker) if you had:
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Experience with AWS tools like EMR and SageMaker.
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Familiarity with Kafka for stream processing and message queuing.
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Knowledge of NoSQL databases.
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Hands-on experience with integration and APIs.
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.
