Why Join GEICO?

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 on relentless innovation to exceed our customers' expectations while making a real impact on local communities nationwide.

Founded in 1936, GEICO is a member of the Berkshire Hathaway family of companies and one of the largest auto insurers in the United States. 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.

Senior Engineer - Data

Position Summary

GEICO is seeking an experienced Senior Data 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 play a key role in leveraging modern technologies to enhance our data capabilities, while championing innovation, best practices, and continuous learning.

Position Description

As a Senior Data Engineer, you will work to build and maintain robust data systems that power a state-of-the-art analytics platform. 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 pipeline development and data transformation to data storage and processing optimization.

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
• Use your technical expertise to shape product definitions and drive towards optimal solutions
• Engage in cross-functional collaboration throughout the entire development lifecycle

• Lead in design sessions and code reviews with peers to elevate the quality of engineering across the organization
• Define, create, and support reusable data components and patterns that align with both business and technology requirements
• Build a world-class analytics platform to satisfy reporting needs
• Mentor other engineers
• Consistently share best practices and improve processes within and across teams

Qualifications

• Advanced programming experience and big data experience within Python, SQL, dbt, Spark, Kafka, Git, Containerization (Docker and Kubernetes)
• Experience with Apache Iceberg for managing large-scale tabular data in data lakes is a plus
• Experience with orchestration tools such as Apache Airflow or similar technologies to automate and manage complex data pipelines

• Experience with business intelligence tools (Power BI or Superset preferred)
• Proven understanding of microservices oriented architecture and REST APIs and GraphQL
• Experience architecting and designing new and current systems
• Advanced understanding of DevOps concepts including Azure DevOps framework and tools
• Experience with CI/CD to ensure smooth and continuous integration and deployment of data solutions
• Advanced PowerShell scripting skills
• Advanced understanding of monitoring concepts and tooling
• Advanced understanding of security protocols and products
• In-depth knowledge of CS data structures and algorithms
• Knowledge of developer tooling across the data development life cycle (task management, source code, building, deployment, operations, real-time communication)
• Strong problem-solving ability
• Ability to excel in a fast-paced environment

 Experience

• 4+ years of professional experience in data engineering, programming languages and developing with big data technologies 
• 3+ years of experience with architecture and design
• 3+ years of experience with AWS, GCP, Azure, or another cloud service
• 2+ years of experience in Big-data tools like Spark and Databricks

Education

• Bachelor’s degree in Computer Science, Information Systems, or equivalent education or work experience

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 training, the work location as well as market and business considerations.

The GEICO Pledge:

Great Company: Protecting customers through life’s twists and turns with innovation and integrity.

Great Careers: Personalized development programs, mentorship, and certification assistance.

Great Culture: Inclusive and collaborative culture rooted in shared success.

Great Rewards: Competitive pay, benefits, and flexibility to support your well-being and future.

The equal employment opportunity policy of the GEICO Companies provides for a fair and equal employment opportunity for all associates and job applicants regardless of race, color, religious creed, national origin, ancestry, age, gender, pregnancy, sexual orientation, gender identity, marital status, familial status, disability or genetic information, in compliance with applicable federal, state and local law. GEICO hires and promotes individuals solely on the basis of their qualifications for the job to be filled.

GEICO reasonably accommodates qualified individuals with disabilities to enable them to receive equal employment opportunity and/or perform the essential functions of the job, unless the accommodation would impose an undue hardship to the Company. This applies to all applicants and associates. GEICO also provides a work environment in which each associate is able to be productive and work to the best of their ability. We do not condone or tolerate an atmosphere of intimidation or harassment. We expect and require the cooperation of all associates in maintaining an atmosphere free from discrimination and harassment with mutual respect by and for all associates and applicants.