Okay, I've searched for Full-time Data Analytics Engineer roles in Virginia Beach, VA that require a Bachelor's degree in Computer Science or a related field, at least 2 years of experience with cloud platforms such as Azure or AWS, and skills in Python and Kubernetes. I have found 47 positions matching your criteria.

Sure. Here's the analysis:

Job Analysis:

The Data Analytics and Vertical Engineering - Claims Domain Engineer role at GEICO is fundamentally about engineering resilient, scalable, and highly available software platforms that support the insurance claims domain—a mission-critical component of GEICO's customer service and business operations. This position demands a versatile engineer capable of handling the full technology stack, from front-end to back-end systems, while embracing a DevOps and cloud-first mindset. The role focuses heavily on designing and maintaining distributed systems using modern object-oriented languages (like C#), cloud services (specifically Azure), container orchestration (Docker, Kubernetes), and big data tools (Hadoop, Kafka). Candidates must navigate complex trade-offs involving reliability, performance, and security within a fast-changing, high-growth environment where collaboration with cross-functional teams is routine. Technical expertise is complemented by problem-solving acumen and a growth mindset, as the company is transforming from a traditional IT model into a technology-centric organization emphasizing engineering excellence, psychological safety, and continuous improvement. Success in this role means delivering high-quality, scalable systems that reduce friction for customers and business users alike, while contributing to GEICO’s digital transformation journey by driving innovation, sharing best practices, and adapting to shifting priorities efficiently.

Company Analysis:

GEICO sits as a dominant player in the highly competitive auto insurance market, recognized as the third-largest insurer in the U.S. and backed by the financial strength of Berkshire Hathaway. The company blends a rich heritage dating back to 1936 with a strong push toward innovation and technology-driven transformation, aiming to stay ahead in customer service and operational excellence. GEICO’s culture values inclusion, integrity, and a bias for action within a fast-paced environment that prizes psychological safety, continuous learning, and performance excellence. This engineering role is infused with the expectation to thrive in a startup-like atmosphere embedded in a large, stable organization—balancing agility with scale. The claims engineering team operates at the nexus of business and technology, tasked with not only stabilizing existing systems but also future-proofing core customer-facing platforms and contributing to broader digital strategy initiatives. From an organizational standpoint, this role has a collaborative cross-functional footprint, working closely with architecture, development, cloud, and operations teams, likely with moderate visibility to leadership given the emphasis on engineering excellence and transformational impact. The company’s commitment to diversity and community engagement further points to a workplace that seeks holistic employee contributions beyond technical output. Thus, this role offers a compelling environment for growth-minded engineers ready to contribute to a large corporate mission with the culture and working style of a tech-forward innovator.

Absolutely. Here are some mock interview questions that could come up:

• Tell me about a time when you had to design a scalable distributed system with high availability requirements. What challenges did you face and how did you overcome them?
• Describe an experience where you improved a development process or shared best practices across teams. How did you ensure adoption and impact?
• Give an example of how you handled a situation with shifting priorities in a fast-paced environment. How did you stay effective?
• How do you approach designing fault-tolerant systems that integrate multiple services using REST APIs or microservices architecture?
• What experience do you have with Container Orchestration tools like Docker and Kubernetes? Can you walk me through a deployment workflow you have worked on?
• How would you leverage Azure PaaS and IaaS services to build a claims platform that meets both scalability and security requirements?
• Explain your understanding of monitoring tools such as Application Insights or Dynatrace. How have you used them to troubleshoot production issues?
• What strategies do you apply when working with big data platforms involving tools like Hadoop, Hive, Kafka, or Spark in the context of insurance data analytics?
• Imagine a key component of your distributed system fails frequently under load, causing customer experience issues. What steps would you take to diagnose and resolve the problem?
• If a cross-functional team has conflicting priorities regarding a feature’s implementation, how would you facilitate reaching a consensus while maintaining project momentum?
• Why does GEICO’s mission to protect people and innovate insurance resonate with you? How do you see your role contributing to these goals?
• How do your personal values align with GEICO’s pledge of Great Company, Great Culture, Great Rewards, and Great Careers?
• What attracts you most to working at GEICO as a large but tech-forward insurance company versus a pure tech startup or fintech?
• In what ways do you think psychological safety and continuous improvement influence your productivity and team success?
• What questions do you have about GEICO’s engineering transformation or the specific challenges faced by the Claims domain engineering team?