Software Engineer - Infrastructure, Data Lakehouse Platform

Position: Staff Software Engineer - Infrastructure, Data Lakehouse Platform
At GEICO, we offer a rewarding career where your ambitions are met with endless possibilities.

Every day we honor our iconic brand by offering quality coverage to millions of customers and being there when they need us most. We thrive through relentless innovation to exceed our customers’ expectations while making a real impact for our company through our shared purpose.

When you join our company, we want you to feel valued, supported and proud to work here. That’s why we offer The GEICO Pledge:
Great Company, Great Culture, Great Rewards and Great Careers.

Position Summary

GEICO is seeking an experienced Staff Software Engineer with a passion for building high-performance, low maintenance, zero-downtime platforms, and core data infrastructure. You will help drive our insurance business transformation as we transition from a traditional IT model to a tech organization with engineering excellence as its mission, while co-creating the culture of psychological safety and continuous improvement.

Position Description Our Staff Software Engineer is a key member of the engineering staff working across the organization to innovate and bring the best open-source data infrastructure and practices into Geico as we embark on a greenfield project to implement a core Data Lakehouse for all Geico’s core data use-cases across each of the company’s business verticals.

Position Responsibilities As a Staff Software Engineer, you will:

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

Qualifications

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 Dev Ops concepts and cloud architecture

Ability to excel in a fast-paced, startup-like environment

Experience in Azure Network (Subscription, Security zoning, etc.) or equivalent

Experience6+ years of professional experience in data software development, programming languages and developing with big data technologies4+ years of experience on open-source development3+ years of experience with AWS, GCP, Azure, or another cloud service

Education

Bachelor’s or Master’s degree in Computer Science, Software Engineering, or related field like physics or mathematics

Annual Salary$ - $The above annual salary range is a general guideline. Multiple factors are taken into consideration to arrive at the final hourly rate/ annual salary to be offered to the selected candidate. Factors include, but are not limited to, the scope and responsibilities of the role, the selected candidate’s work experience, education and…