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 pipelines Lead reliability, disaster recovery, and observability initiatives Build self-service tools, frameworks, and automation Mentor data engineers and establish technical best practices Collaborate across teams on roadmaps and scalable solutions Requirements:

Experience with batch and real-time data processing frameworks Expertise in warehouse management, transformations, and dimensional modeling Hands-on AWS experience designing data solutions Proficiency with Terraform, CloudFormation, and observability practices Strong software design, architecture, coding, and communication skills Bring data engineering expertise, architectural judgment, and technical leadership to strengthen Jobber’s trusted data platform.

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