Staff Data Platform Engineer
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Summary
Staff-level data engineer on Jobber's Data Platform Team in Edmonton: designs scalable batch and real-time data pipelines on AWS, builds reliability, governance and observability frameworks, and mentors engineers while providing architectural direction.
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 pipelines Lead reliability standards, testing, and disaster recovery Build monitoring, logging, lineage, and auditing frameworks Develop self-service tools, automation, and data frameworks Mentor engineers and guide technical excellence Requirements:
Experience with batch and real-time data processing Expertise in warehouse management and dimensional modeling Strong AWS, containerization, CI/CD, and API experience Proficiency in software design, architecture, and coding Background in Terraform, CloudFormation, and observability Bring data engineering mastery, AWS proficiency, and technical leadership to Jobber’s trusted, scalable data platform.
Design scalable batch and real-time data pipelines Lead reliability standards, testing, and disaster recovery Build monitoring, logging, lineage, and auditing frameworks Develop self-service tools, automation, and data frameworks Mentor engineers and guide technical excellence Requirements:
Experience with batch and real-time data processing Expertise in warehouse management and dimensional modeling Strong AWS, containerization, CI/CD, and API experience Proficiency in software design, architecture, and coding Background in Terraform, CloudFormation, and observability Bring data engineering mastery, AWS proficiency, and technical leadership to Jobber’s trusted, scalable data platform.