Senior Data Engineer building Dandy’s data infrastructure for its technology - powered dental operating system. Developing pipelines, governed data products, and AI - ready platform capabilities.
About the role
- Staff Data Engineer leading scalable data integration, governance, and reliability for Jobber’s small-business service management platform. Mentoring engineers and enabling trusted self-service analytics.
Responsibilities
- Design, build, and maintain scalable batch and real-time data pipelines
- Shape foundational data components and anticipate future system needs
- Lead and mentor data engineers while providing architectural and technical direction
- Establish testing and reliability standards, SLAs, and disaster recovery playbooks
- Lead reliability initiatives to minimize downtime and protect critical business data
- Build monitoring, logging, lineage, and auditing frameworks
- Define governance policies for data integrity, availability, and reliability
- Develop self-service tools, frameworks, and automation for data access
- Partner with Technical Program Managers on strategic roadmaps
- Collaborate with Staff Engineers and technical leaders across domains
- Enable data analysts, scientists, and product teams to explore, analyze, model, and report
- Own data integrity and reliability across the organization
- Participate in a one-week-at-a-time on-call rotation and occasional weekend maintenance support
Requirements
- Hands-on experience with batch and real-time data processing frameworks
- Experience with lakehouse/warehouse management, large-scale data transformation, data serialization, workflow orchestration, and dimensional modeling
- Ability to design and deliver scalable, maintainable, high-performance solutions
- Experience with containerization, CI/CD, and API development
- Strong understanding and hands-on experience with relevant AWS services
- Demonstrated success guiding teams through complex, high-impact projects
- Exceptional proficiency in software design, system architecture, and coding
- Experience with infrastructure-as-code, including Terraform and CloudFormation
- Background in observability, including logging, monitoring, and tracing
- Exceptional communication skills, self-motivation, and resourcefulness
- Ability to navigate ambiguity, prioritize effectively, and deliver in fast-paced environments
- Role available only to candidates based in Edmonton, Toronto, Vancouver, or Kitchener-Waterloo
- Must attend the office at least 1 day per week according to the department schedule
- Legally entitled to work in Canada
- Successful completion of a background check required
- Participation in an on-call rotation, typically one week at a time
- Machine learning platform experience, distributed compute frameworks, Ruby on Rails, TypeScript/React, GraphQL, developer tooling, and data privacy/security/compliance knowledge are nice to have
Benefits
- Equity rewards and stock options
- Annual health and wellness stipends
- Retirement savings matching in RRSP, TFSA or FHSA
- Extended health package with fully paid premiums for body and mind
- Dedicated talent development program
- Career coaching and career development opportunities
- Onboarding resources, tutorials, hackathons and buddies
- Mentorship opportunities
- Time off in lieu for after-hours on-call incidents
- Fully covered pre-approved travel expenses for one in-person interview
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