Current jobs related to Staff Data Engineer - Toronto - Jobber

Staff Data Engineer Join to apply for the Staff Data Engineer role at Jobber . Does working with data motivate and excite you? Do you want to make a difference cross‑functionally? Then Jobber might be the place for you We’re looking for a new Staff Data Engineer to join our Data Platform Team. Jobber exists to help people in small businesses be successful. We work with small home‑service businesses, like 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. 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. We help employees grow professionally; we have onboarding resources, tutorials, hackathons and buddies to support learning 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. The team The Data Platform team is responsible for managing the critical data stores and systems that enable orchestration and transformation of data to power analytics, machine learning and reporting at Jobber. Data Platform empowers teams across the organization to fully leverage data, tools, and technology while upholding high data quality standards and governance. You’ll research, develop and maintain data systems and provide essential operational and analytical support to ensure Jobber’s internal teams are set up for success. The role As a Staff Data Engineer at Jobber , you will play a critical role in shaping the future of our data platform. You’ll lead and mentor a team of exceptional data engineers while solving complex technical challenges. Your expertise will span architecture, technical leadership, design, and hands‑on coding, enabling you to significantly influence the direction of data at Jobber. Shape Foundational Data Components: Design, build, and maintain scalable batch and real‑time data pipelines while anticipating future needs. Demonstrate Technical Mastery: Deliver high‑quality solutions through deep expertise in modern data tools and technologies, champion technical excellence, set best practices, and mentor team members at all levels. Drive Reliability & Resilience: Establish testing and reliability standards, SLAs (uptime, RTO, RPO), and disaster recovery playbooks; lead major reliability initiatives to minimize downtime and protect critical business data. Advance Observability & Governance: Build frameworks for monitoring, logging, lineage, and auditing to ensure visibility, compliance, and trust in data; define governance policies that enforce data integrity, availability and reliability. Accelerate and Empower Data Access: Develop self‑service tools, frameworks, and automation that reduce manual effort and enable teams across engineering, analytics and data science to work effectively with data. Contribute to Strategic Planning: Partner with Technical Program Managers to define and refine strategic roadmaps, ensuring data engineering priorities align with business objectives. Drive Cross‑Team Collaboration: Collaborate with Staff Engineers and technical leaders across domains to identify friction points and design solutions that improve system reliability, consistency and scalability. Accelerate Business Growth: Work closely with data analysts, scientists and product teams to enable fast, seamless exploration and reporting. Build automation and infrastructure that reduce friction and accelerate decision‑making. Safeguard Data Integrity: Own the integrity and reliability of data, ensuring stakeholders maintain trust in the insights and decisions driven by it. On‑Call Rotation: Members of the Data Platform team participate in an on‑call rotation, covering one week at a time. When an incident occurs outside of regular working hours, we provide time‑off‑in‑lieu to support a healthy balance and recovery. From time to time, major maintenance work may require team members to serve as primary or secondary on‑call support over a weekend. Jobber is committed to maintaining a fair, transparent and humane on‑call experience; your interview team will explain how we manage on‑call responsibilities in practice. To be successful, you should have Core Data Engineering Expertise: Hands‑on experience with batch and real‑time data processing frameworks, lakehouse/warehouse management, large‑scale data transformation, data serialization, workflow orchestration and dimensional modeling (star/snow‑flake schemas). Scalable Systems Development: Proven ability to design and deliver highly scalable, maintainable and high‑performance solutions across multiple layers of the technology stack, leveraging containerization, CI/CD and API development. AWS Cloud Proficiency: Strong understanding of AWS services relevant to the data domain, with hands‑on experience designing and implementing data solutions. Technical Leadership & Engineering Excellence: Demonstrated success guiding teams through complex, high‑impact projects while providing architectural direction and serving as a trusted technical lead. Reliability & DevOps Practices: Background in infrastructure‑as‑code (Terraform, CloudFormation), observability (logging, monitoring, tracing) and system reliability. Collaboration & Adaptability: Exceptional communication skills, self‑motivation and resourcefulness, with the ability to navigate ambiguity, prioritize effectively and deliver results in fast‑paced environments. It would be really great (but not a deal‑breaker) if you had Machine Learning Platform Experience: Exposure to ML platforms and distributed compute frameworks (Ray, TensorFlow, PyTorch) and experience collaborating with Data Scientists to operationalize models, implement drift detection or scale ML workloads. Cross‑Domain Engineering Experience: Hands‑on exposure to non‑data‑engineering codebases, such as web application frameworks (Ruby on Rails) and modern front‑end stacks (TypeScript/React). API & Integration Knowledge: Familiarity with GraphQL, API layer design and performance optimization. Platform Building Experience: Prior work on developer tooling or shared platforms that support multiple engineering domains. Governance & Compliance Awareness: Knowledge of data privacy, security and compliance in cloud‑based data environments. Compensation At Jobber, we also believe that compensation should be transparent, fair and supportive of your experience and growth. This role has a minimum annual salary of $145,900 CAD , a midpoint of $171,600 CAD and a maximum salary of $197,400 CAD , designed to reflect the progression from learning the ropes to truly excelling. Base salary is just one part of a total compensation package that will include equity rewards, annual stipends for health and wellness, retirement savings matching and an extended health package with fully paid premiums for body and mind. We believe in transparency and open conversations about compensation. If you have any questions about our approach, we’re happy to discuss them throughout the hiring process. What you can expect from Jobber A total compensation package that includes an extended health benefits package with fully paid premiums for both body and mind, matching in RRSP, TFSA or FHSA, and stock options. A dedicated Talent Development team and access to coaching, learning and leadership programs to help you grow your career, reach your goals and unlock your full potential. A unique opportunity to build, grow and leave your impact on a $400‑billion industry that has no dominant player…yet. To work with a group of people who are humble, supportive and care deeply about our customers. Diversity & Inclusion We believe that diverse teams perform better and that fostering an inclusive work environment is a key part of growing a successful team. We welcome people of diverse backgrounds, experiences and perspectives. We are an equal‑opportunity employer and are committed to working with applicants requesting accommodation at any stage of the hiring process. Note Our Talent team at Jobber will be offline for a holiday break, starting December 24th and extending until January 2nd. We’ll be back to go through applications and reach out with an update on your candidacy once we return in January. Happy Holidays #J-18808-Ljbffr