[Hiring] Staff Data Engineer @Jobber

Role Description

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.

As a Staff Data Engineer, you will play a critical role in shaping the future of data integration at Jobber. Your expertise will span architecture, technical leadership, design, and hands-on coding, enabling you to significantly influence the direction of data at Jobber.

As a Staff Data Engineer, you will:

• Shape Foundational Data Components: Design, build, and maintain scalable batch and real-time data pipelines.
• Demonstrate Technical Mastery: Deliver high-quality solutions through deep expertise in modern data tools and technologies.
• Drive Reliability & Resilience: Establish testing and reliability standards, SLAs, and disaster recovery playbooks.
• Advance Observability & Governance: Build frameworks for monitoring, logging, lineage, and auditing.
• Accelerate and Empower Data Access: Develop self-service tools, frameworks, and automation.
• Contribute to Strategic Planning: Partner with Technical Program Managers to define and refine strategic roadmaps.
• Drive Cross-Team Collaboration: Collaborate with Staff Engineers and technical leaders across domains.
• Accelerate Business Growth: Work closely with data analysts, scientists, and product teams.
• Safeguard Data Integrity: Own the integrity and reliability of data.
• On-Call Rotation: Participate in an on-call rotation, covering one week at a time.

Qualifications

• Core Data Engineering Expertise: Hands-on experience with batch and real-time data processing frameworks.
• Scalable Systems Development: Proven ability to design and deliver highly scalable, maintainable, and high-performance solutions.
• AWS Cloud Proficiency: Strong understanding of AWS services relevant to the data domain.
• Technical Leadership & Engineering Excellence: Demonstrated success guiding teams through complex projects.
• Reliability & DevOps Practices: Strong background in infrastructure-as-code and observability.
• Collaboration & Adaptability: Exceptional communication skills and resourcefulness.

Requirements

• Machine Learning Platform Experience: Exposure to ML platforms and distributed compute frameworks.
• Cross-Domain Engineering Experience: Hands-on exposure to non–data engineering codebases.
• API & Integration Knowledge: Familiarity with GraphQL and API layer design.
• Platform Building Experience: Prior work on developer tooling or shared platforms.
• Governance & Compliance Awareness: Knowledge of data privacy, security, and compliance in cloud-based data environments.

Benefits

• Minimum annual salary of $169,200 CAD, midpoint of $199,100 CAD, and maximum salary of $228,900 CAD.
• Equity rewards and annual stipends for health and wellness.
• Retirement savings matching and an extended health package with fully paid premiums.
• Access to a dedicated talent development program including career coaching.