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GEICO · 2 weeks ago

Staff Engineer – Data Lakehouse Platform

Palo Alto, CA

Full-time

Hybrid

Senior Level, Lead/Staff

$115K/yr - $230K/yr

6+ years exp

GEICO is a well-known insurance company that values innovation and aims to provide quality coverage to its customers. They are looking for an experienced Staff Engineer to lead the development of a Data Lakehouse platform, ensuring high performance and reliability while fostering a culture of continuous improvement within the engineering team.

Auto InsuranceFinancial ServicesGovernmentInsuranceInternetMobile

No H1B

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

Qualification

Data Lakehouse developmentDistributed systems architectureCloud computing AWSCloud computing AzureCloud computing GCPContainer technology DockerContainer technology KubernetesOpen-source software contributionML Ops pipeline managementData visualization (Apache Superset)Soft skills

Required

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 Apache Superset for data visualization and business intelligence

Experience with Jupyter Notebook for data science and machine learning development

Experience with cloud computing (AWS, Microsoft Azure, Google Cloud, Hybrid Cloud, or equivalent)

Expertise in developing large-scale distributed systems that are scalable, resilient, and highly available, with a focus on designing and implementing systems that can handle high traffic and large data volumes

Ensuring system reliability, uptime, and performance in complex environments

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

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 or large scale distributed systems

3+ years of experience with architecture and design

3+ years of experience with AWS, GCP, Azure, or another cloud service

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

Preferred

Experience with ML Ops pipeline development and management, including designing and implementing data pipelines for machine learning workflows

Ensuring data quality, integrity, and security in ML pipelines

Monitoring and optimizing ML pipeline performance and efficiency

Experience working with Large Language Models (LLM) to create Agentic systems, including integrating LLMs with data lakehouse platforms and other systems

Developing and deploying Agentic models and workflows

Ensuring model performance, reliability, and security in production environment

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

Benefits

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.

Company

GEICO

Glassdoor2.7

GEICO, Government Employees Insurance Company, has been providing affordable auto insurance since 1936. It is a sub-organization of Berkshire Hathaway.

Founded in 1936

Chase, Maryland, USA

10001+ employees