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Staff Engineer

2 months ago

Seattle, Washington, United States GEICO Full time

Job Summary

GEICO is seeking an experienced Staff Engineer to join our team and contribute to the development of our Data Lakehouse Platform. As a key member of our engineering staff, you will work across the organization to innovate and bring the best open-source data infrastructure and practices into Geico.

Key Responsibilities

  • Scope, design, and build scalable, resilient Data Lakehouse components
  • Lead architecture sessions and reviews with peers and leadership
  • Accountable for the quality, usability, and performance of the solutions
  • Spearhead new software evaluations and innovate with new tooling
  • Determine and support resource requirements, evaluate operational processes, measure outcomes to ensure desired results, and demonstrate adaptability and sponsoring continuous learning
  • Collaborate with customers, team members, and other engineering teams to solve our toughest problems
  • Be a role model and mentor, helping to coach and strengthen the technical expertise and know-how of our engineering community
  • Consistently share best practices and improve processes within and across teams
  • Share your passion for staying on top of the latest open-source projects, experimenting with, and learning recent technologies, participating in internal and external technology communities, and mentoring other members of the engineering community

Requirements

  • Exemplary ability to design and develop, perform experiments
  • Experience developing new and enhancing existing open-source based Data Lakehouse platform components
  • Experience cultivating relationships with and contributing to open-source software projects
  • Experience with open-source table formats (Apache Iceberg, Delta, Hudi or equivalent)
  • Experience with open-source compute engines (Apache Spark, Apache Flink, Trino/Presto, or equivalent)
  • Experience with cloud computing (AWS, Microsoft Azure, Google Cloud, Hybrid Cloud, or equivalent)
  • Expertise in developing distributed systems that are scalable, resilient, and highly available
  • Expertise in container technology like Docker and Kubernetes platform development
  • Experience with continuous delivery and infrastructure as code
  • In-depth knowledge of DevOps concepts and cloud architecture
  • Experience in Azure Network (Subscription, Security zoning, etc.) or equivalent
  • Ability to excel in a fast-paced, startup-like environment

Preferred Qualifications

  • 6+ years of professional experience in data software development, programming languages and developing with big data technologies
  • 4+ years of experience on open-source development
  • ​3+ years of experience with architecture and design
  • 3+ years of experience with AWS, GCP, Azure, or another cloud service

Education

  • Bachelor's degree in Computer Science, Information Systems, Mathematics or equivalent education or work experience