Staff Data Platform Engineer

Shape Jobber’s data platform through scalable pipelines, technical leadership, and hands-on engineering across batch and real-time systems.As a Staff Data Engineer on the Data Platform Team, you will shape foundational data components and guide engineering excellence. You will design resilient systems, develop self-service tooling, and help teams across engineering, analytics, and data science use trusted data. The work spans architecture, coding, governance, reliability, and strategic planning.Key Responsibilities:
Design and maintain scalable batch and real-time data pipelinesLead reliability, disaster recovery, and observability initiativesBuild self-service tools, frameworks, and automationMentor data engineers and establish technical best practicesCollaborate across teams on roadmaps and scalable solutionsRequirements:
Experience with batch and real-time data processing frameworksExpertise in warehouse management, transformations, and dimensional modelingHands-on AWS experience designing data solutionsProficiency with Terraform, CloudFormation, and observability practicesStrong software design, architecture, coding, and communication skillsBring data engineering expertise, architectural judgment, and technical leadership to strengthen Jobber’s trusted data platform.
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