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.
Position Summary
The GEICO Enterprise Voice Services team is seeking an experienced Senior Data Engineer to drive data architecture and engineering efforts. You have a passion for efficient data engineering that is founded on sound operational and analytical data models and robust data architecture. You understand holistically how data moves through an organization, including how it is originated, transformed, derived, and persisted to enable business analytics and machine learning models. You have a strong track record of building high-performance and resilient data pipelines on open source. This role requires in-depth knowledge of data modeling and architecture, data pipelines, and data management. Experience with Contact Center Analytics is preferred.
Position Description
Our Senior Data Engineer is a key member of the engineering staff working across the organization to innovate and leverage industry best practices for our data engineering efforts as we embark on our Data transformation journey for our contact center migration project. Our team thrives and succeeds in delivering high quality data platforms, products, and services to our business partners in a hyper-growth environment where priorities shift quickly. We are part of a team that facilitates enterprise voice data and its attributes to the organization. This position will be fully remote.
Position Responsibilities
As a Senior Data Engineer, you will:
Scope, design, and build scalable, resilient distributed systems
Build product definition and leverage your technical skills to drive towards the right solution
Engage in cross-functional collaboration throughout the entire software lifecycle
Lead in design sessions and code reviews with peers to elevate the quality of engineering across the organization
Define, create, and support reusable application components/patterns from a business and technology perspective
Build world class reporting platform to satisfy reporting needs
Utilize programming languages like Python, SQL, and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of Azure tools and services
Mentor other engineers
Consistently share best practices and improve processes within and across teams
Qualifications
Advanced programming/development experience with Python, SQL, Containerization (Docker and Kubernetes), Hive, Spark, dbt, Airflow.
Experience with DevOps & CI/CD tootling (such as Azure DevOps, Jenkins, Gradle, Artifactory)
Experience with Source Version Control tools like GitHub, Azure Repos etc.
Experience with monitoring (such as Splunk or equivalents) and reporting tools (such as PowerBI or equivalents).
Experience architecting and designing new and current systems
Advanced scripting skills using bash or equivalents.
Advanced understanding of data security and governance protocols.
Experience with cloud data warehouse solutions such as Snowflake.
Experience with open-source query engines such as Trino, DuckDB etc.
Experience with open source OLAP engines such as Starrocks, Pinot etc.
Experience with Infrastructure as Code
In-depth knowledge of CS data structures and algorithms
Strong problem-solving ability
Ability to excel in a fast-paced environment
Knowledge of developer tooling across the software development life cycle (task management, source code, building, deployment, operations, real-time communication)
Experience
4+ years of professional experience in data software development, programming languages and developing with big data technologies
4+ years of experience in Big-Data Tools
3+ years of experience with architecture and design
3+ years of experience with AWS, GCP, Azure, or another cloud service
Education
Bachelor’s degree in computer science or a related field and/or equivalent experience.
Annual Salary
$105,000.00 - $215,000.00The 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.