GEICO

Sr. Security Analytics Engineer (REMOTE)

GEICO

full-time

Posted on:

Origin:  • 🇺🇸 United States

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Salary

💰 $105,000 - $215,000 per year

Job Level

Senior

Tech Stack

CloudGoPythonSDLCSQL

About the role

  • Design, develop, and maintain security data platforms for data analytics, data modeling, and data engineering.\n
  • Implement data quantization and data vectorization techniques to optimize & enhance security analytics.\n
  • Develop AI/ML-driven security solutions to improve threat detection and response capabilities.\n
  • Work with SIEM platforms (Google Chronicle) to ingest, normalize, and analyze security event data.\n
  • Design scalable and efficient security data pipelines to collect and process large datasets.\n
  • Develop and optimize queries using Kusto Query Language (KQL) and SQL for data analysis and security insights.\n
  • Write efficient, maintainable, and scalable code in Python and Go to support security data analytics and automation.\n
  • Collaborate with security analysts, data engineers, and software developers to ensure the security data ecosystem meets organizational needs.\n
  • Ensure compliance with security best practices and policies for secure transmission, encryption, hashing, and encoding of security data.\n
  • 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.\n
  • Experience with system design & architecture for security data platforms.\n
  • Proficiency in Python and Go for security data processing and automation.\n
  • Experience with Kusto Query Language (KQL), SQL, and other data query languages.\n
  • Hands-on experience with SIEM platforms (Google Chronicle preferred).\n
  • Understanding of SDLC, Git, and version control best practices.\n
  • Nice to have: Eager and ability to learn & leverage AI/ML for security use cases.\n
  • Strong problem-solving skills and ability to work in a fast-paced environment.\n
  • Prior experience in security analytics, detection engineering, or threat intelligence.\n
  • Familiarity with big data processing tools and cloud-based security analytics platforms.\n
  • Experience working in large-scale security data environments.