Staff Data Engineer

The role

You will lead and mentor a team of data engineers to shape the future of data integration. You will design scalable data pipelines, drive reliability, and develop self-service tools to empower teams across the organization.

What you will do

• Design, build, and maintain scalable batch and real-time data pipelines
• Deliver high-quality solutions through expertise in modern data tools
• Mentor team members at all levels
• Establish testing, reliability standards, SLAs, and disaster recovery playbooks
• Build frameworks for monitoring, logging, lineage, and auditing
• Define governance policies for data integrity and availability
• Develop self-service tools and automation for engineering, analytics, and data science teams
• Partner with Technical Program Managers to define strategic roadmaps
• Collaborate with Staff Engineers to improve system reliability and scalability
• Participate in an on-call rotation

Required qualifications

• Hands-on experience with batch and real-time data processing frameworks
• Experience with lakehouse/warehouse management
• Experience with large-scale data transformation
• Experience with data serialization
• Experience with workflow orchestration
• Experience with dimensional modeling (star/snow-flake schemas)
• Ability to design and deliver scalable, maintainable, and high-performance solutions
• Experience with containerization, CI/CD, and API development
• Strong understanding of AWS services relevant to the data domain
• Success guiding teams through complex, high-impact projects
• Proficiency in software design, system architecture, and coding
• Background in infrastructure-as-code (Terraform, CloudFormation), observability, and system reliability

Nice to have

• Machine Learning Platform Experience (e.g., Ray, TensorFlow, PyTorch)
• Experience collaborating with Data Scientists to operationalize models
• Cross-Domain Engineering Experience (e.g., Ruby on Rails, TypeScript/React)
• Familiarity with GraphQL, API layer design, and performance optimization
• Prior work on developer tooling or shared platforms
• Knowledge of data privacy, security, and compliance in cloud-based data environments

Benefits

• Extended health benefits package with fully paid premiums
• Matching in RRSP, TFSA or FHSA
• Stock options
• Dedicated Talent Development team
• Access to coaching, learning, and leadership programs
• Time off in lieu for on-call incidents

About the company

Jobber helps small home service businesses like plumbers, painters, and landscapers transform how they deliver service through technology. The company provides tools to quote, schedule, invoice, and collect payments.