Junior Data Engineer - Claims

Engineer II​ - Data

Position Summary  

​GEICO is seeking an experienced Engineer with a passion for building high-performance, low maintenance, zero-downtime platforms, and applications.  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, while co-creating the culture of psychological safety and continuous improvement.

Position Description 

Our Engineer II is a key member of the engineering staff working across the organization to provide
a friction-less experience to our customers and maintain the highest standards of protection and availability. Our team thrives and succeeds in delivering high-quality technology products and services in a hyper-growth environment where priorities shift quickly. The ideal candidate has broad and deep technical knowledge, typically ranging from front-end UIs through back-end systems and all points in between.

Position Responsibilities 

​​As an Engineer II, you will:

• Scope, design, and build scalable, resilient distributed systems

• ​Engage in cross-functional collaboration throughout the entire software lifecycle 
• ​Participate in design sessions and code reviews with peers to elevate the quality of engineering across the organization
• ​Utilize programming languages like Python, C# or other object-oriented languages, SQL, and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of Azure tools and services
• ​Consistently share best practices and improve processes within and across teams 
• ​Build product definition and leverage your technical skills to drive towards the right solution

 Qualifications 

• ​Programming experience with at least one modern language such as Java, C++, or C# including object-oriented design
• Experience contributing to the architecture and design (architecture, design patterns, reliability, and scaling) of new and current systems
• In-depth knowledge of CS data structures and algorithms 
• Understanding of existing Operational Portals such as Azure Portal 
• Understanding of HTML-5, JavaScript/TypeScript, XML, and JSON
• Understanding of micro-services oriented architecture and extensible REST APIs
• Understanding of monitoring tools such as Application Insights 
• Intermediate PowerShell scripting skills 
• Intermediate level understanding of Azure Network such as security zones, VNETs, and Public Peered Services 
• Understanding of Azure PaaS and IaaS services 
• Understanding of security protocols and products such as of Active Directory, Windows Authentication, SAML, OAuth
• Experience in Datacenter structure, capabilities, and offerings, including the Azure platform, and its native services 
• Knowledge of developer tooling across the software development life cycle (task management, source code, building, deployment, operations, real-time communication)
• Understanding in DevOps Concepts, Cloud Architecture, and Azure DevOps Operational Framework
• Experience with GIT and the overall GIT lifestyle
• Experience with GraphDB
• Experience with Big Data and the tooling on our Big Data Platform (Hadoop, Hive, Kafka)
• Experience with Load test tooling (Gatling)
• Experience with troubleshooting tools such as Dynatrace, Thousand Eyes, Influx, Spark GUI, Yarn Logs, ETL Metrics, and Grafana
• Experience with Containerization using Docker and Kubernetes
• Understanding of Java programming fundamentals
• Understanding of Spring Boot Framework
• Web Service APIs with technologies such as Rest and GraphQL
• Experience with SQL Queries
• Experience with CI/CD tooling (Jenkins, Gradle, Artifactory, etc.)
• Experience with Spark and Scala with a beginning understanding of DSaT MDF
• Experience with Enterprise Reporting Tool (Qlik or MicroStrategy)
• Analysis and Estimation skills
• Strong problem-solving ability  
• Strong oral and written communication skills 
• Ability to excel in a fast-paced, startup-like environment

 Experience 

• ​​2+ years of non-internship professional software development experience in Big Data
• ​2+ years of experience with architecture and design 
• ​2+ years of experience with AWS, GCP, Azure, or another cloud service 
• ​2+ years of experience in open-source frameworks​ 

Education 

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