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Senior Engineer - Data Analytics

Salary

$95k - $215k

Min Experience

4 years

Location

California, United States

JobType

full-time

About the job

Info This job is sourced from a job board

About the role

GEICO is seeking an experienced Senior Engineer with a passion for building high-performance, low maintenance, zero-downtime data solutions. 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. Within the Data Analytics and Vertical Engineering team, you will develop state-of-the-art data pipelines, models, and reports, transforming vast datasets that reach up to multiple terabytes in size, while championing innovation, best practices, and continuous learning. As a Senior Engineer, you will work to provide an excellent user experience for our internal stakeholders across the organization and maintain the highest standards of data and analytics engineering. Our team thrives and succeeds in delivering high quality data solutions in a hyper-growth environment where priorities shift quickly. The ideal candidate has broad and deep technical knowledge, typically ranging from data processing and pipeline development to dimensional data modeling and reporting. Position Responsibilities As a Senior Engineer, you will: Scope, design, and build scalable, resilient distributed systems Utilize programming languages like Python, SQL, and NoSQL databases, along with Apache Spark for data processing, dbt for data transformation, container orchestration services such as Docker and Kubernetes, and various Azure tools and services Utilize your passion for data exploration to produce high quality reports with tools such as Power BI and Apache Superset to empower outstanding business decisions Use your technical expertise to shape product definitions and drive towards optimal solutions Lead in design sessions and code reviews with peers to elevate the quality of engineering across the organization Engage in cross-functional collaboration throughout the entire development lifecycle Manage data pipelines, ensuring consistent data availability Mentor other engineers Consistently share best practices and improve processes within and across teams

About the company

At GEICO, we help our customers through life's twists and turns. Our mission is to protect people when they need it most and we're constantly evolving to stay ahead of their needs. We're an iconic brand that thrives on innovation, exceeding our customers' expectations and enabling our collective success. From day one, you'll take on exciting challenges that help you grow and collaborate with dynamic teams who want to make a positive impact on people's lives. We offer a career where you can learn, grow, and thrive through personalized development programs, created with your career – and your potential – in mind. You'll have access to industry leading training, certification assistance, career mentorship and coaching with supportive leaders at all levels. We foster an inclusive culture of shared success, rooted in integrity, a bias for action and a winning mindset. Grounded by our core values, we have an an established culture of caring, inclusion, and belonging, that values different perspectives. Our teams are led by dynamic, multi-faceted teams led by supportive leaders, driven by performance excellence and unified under a shared purpose.

Skills

Python
SQL
NoSQL
Docker
Kubernetes
Azure
Power BI
ETL
DevOps
AWS
GCP
GraphQL