Shape Jobber’s data platform through scalable pipelines, AWS expertise, and technical leadership across teams. This is a strategic, hands-on engineering role.As a Staff Data Engineer on Jobber’s Data Platform Team, you will shape data integration architecture and delivery. You will design resilient systems, mentor data engineers, and provide architectural direction. Your work will support data ingestion, activation, governance, and self-service access.Key Responsibilities: Design scalable batch and real-time data pipelinesLead reliability standards, testing, and disaster recoveryBuild monitoring, logging, lineage, and auditing frameworksDevelop self-service tools, automation, and data frameworksMentor engineers and guide technical excellenceRequirements: Experience with batch and real-time data processingExpertise in warehouse management and dimensional modelingStrong AWS, containerization, CI/CD, and API experienceProficiency in software design, architecture, and codingBackground in Terraform, Cloud Formation, and observabilityBring data engineering mastery, AWS proficiency, and technical leadership to Jobber’s trusted, scalable data platform.#J-18808-Ljbffr

📌 Staff Data Platform Engineer (Edmonton)
🏢 Avenue.io
📍 Edmonton