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JobberStaff Data Engineer
Jobber builds software that helps small home service businesses schedule work, send invoices and take payments. This staff-level data engineering role sits in the Data Platform…
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About This Role
Jobber builds software that helps small home service businesses schedule work, send invoices and take payments. This staff-level data engineering role sits in the Data Platform team, within the Data Integration group. That group's purpose is to get the right data to the right teams at the right time, so they can deliver value faster. The Data Integration group moves data in, including streaming changes from source systems into Snowflake…
Job Description
Jobber builds software that helps small home service businesses schedule work, send invoices and take payments. This staff-level data engineering role sits in the Data Platform team, within the Data Integration group. That group's purpose is to get the right data to the right teams at the right time, so they can deliver value faster.
The Data Integration group moves data in, including streaming changes from source systems into Snowflake tables. It also manages data activation and outbound flows, runs the systems that move and transform data, provides self-serve tooling, and looks after integrity and governance. The Staff Data Engineer designs and maintains batch and real-time pipelines and anticipates where the platform needs to go. The role sets testing and reliability standards, including service targets for uptime, recovery time and recovery point, and writes disaster recovery playbooks. It also builds observability, lineage and audit tooling, and creates self-service tools that reduce demand on the platform team. The engineer partners with technical programme managers on roadmaps, works with staff engineers across domains, and mentors engineers at all levels.
The posting calls for practical work with batch and streaming frameworks, lakehouse or warehouse management, dimensional modelling and workflow orchestration. Candidates should be able to build scalable systems using containers, CI/CD pipelines and APIs, and should know the AWS services relevant to data. Experience with infrastructure-as-code tools such as Terraform or CloudFormation, plus strong observability practice, is expected. The team runs an on-call rotation in one-week shifts, and time off in lieu is given after out-of-hours incidents. The posted salary range is CAD 169,200 to 228,900, with a midpoint of CAD 199,100.
Responsibilities
- Create and operate scalable pipelines for both batch and real-time data
- Establish testing and reliability standards, including uptime and recovery targets
- Lead reliability work and write disaster recovery playbooks
- Build monitoring, logging, lineage and auditing frameworks for trust in data
- Create self-service tools so teams can work with data without waiting on the platform team
- Work with technical programme managers on strategic roadmaps
- Help analysts, scientists and product teams explore and report on data faster
- Mentor engineers and set engineering practice
Requirements
- Practical work with batch and streaming data processing frameworks
- Experience managing lakehouse or warehouse environments and large-scale transformation
- Working knowledge of data serialisation, workflow orchestration and dimensional modelling
- Ability to design scalable, maintainable systems using containers, CI/CD and APIs
- Good grasp of the AWS services used for data work
- Experience with infrastructure-as-code such as Terraform or CloudFormation
- Background in observability, including logging, monitoring and tracing
- Track record of guiding teams through complex projects as a technical lead
- Strong communication and the ability to work through ambiguity
Qualifications
- Some time with machine learning platforms or distributed compute tools such as Ray, TensorFlow or PyTorch
- Experience supporting data scientists with model operations or drift detection
- Experience with web frameworks such as Ruby on Rails or front-end stacks such as TypeScript and React
- Familiarity with GraphQL and API layer design
- Experience building developer tooling or shared platforms
- Understanding of privacy, security and compliance rules that apply to cloud data platforms
Core Skills
Benefits
- Extended health benefits with premiums fully paid
- Yearly allowances toward health and wellbeing
- Retirement savings matching through an RRSP, TFSA or FHSA
- Equity and stock options
- Talent development programme with coaching and leadership training
Frequently Asked Questions
Answers are based only on the employer’s listing; where it doesn’t say, neither do we.
What is the salary range?
The band starts at CAD 169,200, sits at CAD 199,100 in the middle and tops out at CAD 228,900 per year.
Does the role involve on-call work?
Yes. Team members take turns on an on-call rotation, one week at a time, with time off in lieu after out-of-hours incidents and occasional weekend cover during major maintenance.
What is the core technical stack?
The posting references Snowflake, AWS services, Terraform or CloudFormation, containers, CI/CD and APIs.
Does the posting state the work location?
The posting does not state a work location.
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