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Staff Data Engineer

jobberRemoteStrategy & Analytics
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Salary
Not listed
Job type
Full-time
Work mode
Remote
Experience
Senior
Posted
16 Sept 2026
Status
Open · checked 7d ago

About this role

Jobber is hiring a remote Staff Data Engineer to join the Data Platform Team and shape the future of data integration. This role suits an experienced technical leader who enjoys hands-on coding, architecture, and mentoring data engineers.

Role Overview

Jobber provides technology that helps small home service businesses handle quoting, scheduling, invoicing, and collecting payments. The Staff Data Engineer will act as a technical champion within the Data Platform Team, balancing hands-on coding with system architecture, technical leadership, and cross-functional collaboration.

Key Responsibilities

Design, build, and maintain scalable batch and real-time data pipelines while anticipating future system requirements.
Deliver high-quality solutions, set engineering best practices, and mentor team members across all levels.
Establish testing and reliability standards, service-level agreements, and disaster recovery playbooks.
Build frameworks for monitoring, logging, lineage, and auditing to ensure visibility and data compliance.
Develop self-service tools and automation that empower engineering, analytics, and data science teams.
Partner with Technical Program Managers to define strategic roadmaps aligned with business objectives.
Collaborate with other domain leaders to design solutions improving system reliability and scalability.
Support data analysts, scientists, and product teams by building infrastructure that accelerates decision-making.
Participate in an on-call rotation covering one week at a time, with time off provided in lieu for incidents outside regular hours.

Requirements

Hands-on experience with batch and real-time data processing frameworks, lakehouse or warehouse management, large-scale data transformation, data serialization, workflow orchestration, and dimensional modeling.
Proven ability to design scalable, maintainable, and high-performance solutions using containerization, CI/CD, and API development.
Strong understanding and hands-on experience with AWS cloud services relevant to the data domain.
Demonstrated success guiding teams through complex projects with architectural direction and coding proficiency.
Strong background in infrastructure-as-code tools such as Terraform or CloudFormation, observability, and system reliability.
Exceptional communication skills, self-motivation, and resourcefulness in fast-paced environments.

Nice to Have

Exposure to machine learning platforms and distributed compute frameworks such as Ray, TensorFlow, or PyTorch.
Experience collaborating with Data Scientists to operationalize models, implement drift detection, or scale machine learning workloads.

Skills and Tools

Snowflake
AWS
Terraform
CloudFormation
Ray
TensorFlow
PyTorch

About the Company

Jobber builds technology solutions for small home service businesses such as plumbers, painters, and landscapers, enabling them to deliver professional customer experiences. The company culture focuses on transparency, inclusivity, collaboration, and innovation, and has received recognition from Great Place to Work and Deloitte Canada's Technology Fast lists.

How to Apply

Interested candidates should apply on the official company careers page.

Skills and tech stack

SnowflakeAWSTerraformCloudFormationRayTensorFlowPyTorchTypeScriptReactMachine Learning

Questions candidates ask

Where is the Staff Data Engineer position located?

The position is remote.

What team will the Staff Data Engineer join?

The engineer will join the Data Platform Team.

What does the on-call rotation involve?

Team members participate in an on-call rotation covering one week at a time. Time off is provided in lieu of hours worked during incidents outside regular working hours.

What cloud platform is required for this role?

The role requires strong understanding and hands-on experience with AWS cloud services relevant to the data domain.

Are machine learning skills mandatory?

No, machine learning platform experience is listed as a nice-to-have skill rather than a deal-breaker.

Ready to apply?

The application is on the official jobber careers page.

Apply on company site