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 strongtrack recordof 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 andleverageindustry best practices for our data engineering efforts as we embark on our Data transformation journeyfor our contact center migration project. Our team thrives and succeeds in deliveringhigh qualitydata platforms, products, and services to our business partners in a hyper-growth environment where priorities shift quickly.We are part of a team thatfacilitatesenterprise 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 andleverageyour 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, AzureReposetc.

• Experience with monitoring (such as Splunk or equivalents) and reporting tools (such asPowerBIor 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,DuckDBetc.

• Experience withopen sourceOLAP engines such asStarrocks,Pinotetc.

• 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

• Bachelor27s degree in computer science ora relatedfield and/or equivalent experience.