Sr. Security Analytics Engineer (REMOTE)

Description: • 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. Requirements: • 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). • Understanding of SDLC, Git, and version control best practices. • Nice to have: Eager and ability to learn & leverage AI/ML for security use cases. • Strong problem-solving skills and ability to work in a fast-paced environment. • Prior experience in security analytics, detection engineering, or threat intelligence. • Familiarity with big data processing tools and cloud-based security analytics platforms. • Experience working in large-scale security data environments. Benefits: • Competitive salary, benefits, and career growth opportunities. • 401K savings plan vested from day one with 6% match; performance and recognition-based incentives; and tuition assistance. • A comprehensive Total Rewards program including market-competitive compensation; access to benefits like mental healthcare; fertility and adoption assistance. • GEICO Flex program enabling remote work from anywhere in the US for up to four weeks per year. • Training, certification assistance, career mentorship and coaching with supportive leaders at all levels. Apply tot his job