Staff Data Platform Engineer
Devconnectplatform
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.
#J-18808-LjbffrReference: WJ-4483_1569708 · Posted 11 Nov 2026, 03:23 PM