Distinguished Software Engineer – Data Lakehouse Platform (REMOTE)
GEICOAbout the role
Distinguished Software Engineer – Data Lakehouse Platform (REMOTE)
Position Summary
GEICO is seeking an experienced 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 Distinguished 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 Distinguished Engineer, you will:
Provide comprehensive technical and thought leadership across diverse areas within the enterprise.
Develop and execute technical software development strategies spanning various domains.
Influence and educate leadership at all organizational levels.
Lead architecture sessions and reviews with peers and leadership
Scope, design, and build scalable, resilient Data Lakehouse components
Accountable for the quality, usability, and performance of the solutions
Spearhead new software evaluations and innovate with new tooling
Analyze cost and forecast, incorporating them into business plans
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
Influence and educate peers and leadership
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, and influence engineering direction and product roadmap
Advanced experience developing new and enhancing existing open- source based Data Lakehouse platform components
Experience cultivating relationships with and contributing to open-source software projects.
Advanced experience with open-source table formats (Apache Iceberg, Delta, Hudi or equivalent)
Advanced 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
Ability to excel in a fast-paced, startup-like environment
Experience in Azure Network (Subscription, Security zoning, etc.) or equivalent
Experience
12+ years of professional experience in data software development, programming languages and developing with big data technologies
10+ years of experience with architecture and design
6+ years of experience in open-source frameworks
6+ years of experience with AWS, GCP, Azure, or another cloud service
3+ years of leadership experience, successfully leading cross-functional technical teams to achieve strategic goals and deliver innovative solutions
Education
Bachelor’s degree in Computer Science, Information Systems, Mathematics or equivalent education or work experience
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Annual Salary
$150,000.00 - $300,000.00The above annual salary range is a general guideline. Multiple factors are taken into consideration to a
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