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

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 AWS, GCP, Azure, or another cloud service
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
Ability to excel in a fast-paced, startup-like environment
Experience in Azure Network (Subscription, Security zoning, etc.) or equivalent
Bachelor’s or Master’s degree in Computer Science, Software Engineering, or related field like physics or mathematics.

Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family’s overall well-being.
Financial benefits including market-competitive compensation; a 401K savings plan vested from day one that offers a 6% match; performance and recognition-based incentives; and tuition assistance.
Access to additional benefits like mental healthcare as well as fertility and adoption assistance.
Supports flexibility
We provide workplace flexibility as well as our GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year.

Staff Software Engineer – Infrastructure, Data Lakehouse Platform

Key skills