Sr. Security Analytics Engineer (REMOTE)

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 through relentless innovation to exceed our customers’ expectations while making a real impact for our company through our shared purpose. 

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.

GEICO is looking for a highly skilled Security Analytics Engineers at multiple levels to join our security team. In this role, you will be responsible for building and optimizing our Security Data Platform and Data Lake, leveraging advanced analytics, data engineering, and AI/ML for security use cases. You will work with cutting-edge SIEM solutions (Google Chronicle) and other data analytics tools to drive insights, threat detection, and security intelligence. 

Key Responsibilities: 

• Design, develop, and maintain security data platforms for data analytics, data modeling, and data engineering. 

• Implement data quantization and data vectorization techniques to optimize & enhance security analytics. 

• Develop AI/ML-driven security solutions to improve threat detection and response capabilities. 

• Work with SIEM platforms (Google Chronicle) to ingest, normalize, and analyze security event data. 

• Design scalable and efficient security data pipelines to collect and process large datasets. 

• Develop and optimize queries using Kusto Query Language (KQL) and SQL for data analysis and security insights. 

• Write efficient, maintainable, and scalable code in Python and Go to support security data analytics and automation. 

• Collaborate with security analysts, data engineers, and software developers to ensure the security data ecosystem meets organizational needs. 

• Ensure compliance with security best practices and policies for secure transmission, encryption, hashing, and encoding of security data. 

• Utilize Git and SDLC principles to ensure robust version control and efficient software development workflows. 

Required Skills & Experience: 

• Strong knowledge of security concepts, including TCP/UDP protocols, secure data transmission, and encryption techniques. 

• Experience with system design & architecture for security data platforms. 

• Proficiency in Python and Go for security data processing and automation. 

• Experience with Kusto Query Language (KQL), SQL, and other data query languages. 

• Hands-on experience with SIEM platforms (Google Chronicle preferred). 

• Understan