Remote Security Data Engineering and Automation Lead - REMOTE - Texas

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Description:

  • The Security Data Engineering and Automation Lead will work remotely from Houston, Texas.
  • This role involves designing, implementing, and maintaining a unified data model to support security operations.
  • The position focuses on data engineering, automation, and advanced detection strategies to address emerging threats.
  • Responsibilities include integrating security technologies, automating threat detection processes, and developing scalable data pipelines.
  • Collaboration with cross-functional teams, including security analysts, data scientists, and engineering teams, is essential for driving innovation and optimizing security workflows.
  • Key accountabilities include designing and maintaining a unified security data model, building a centralized security data lake, developing automation pipelines, implementing CI/CD pipelines, and enhancing SOC operations through SOAR functions.
  • The lead will work closely with stakeholders to refine detection engineering pipelines and automate repetitive security tasks, while also focusing on collaboration, documentation, and process standardization.

Requirements:

  • Proficiency in Python for automation, data integration, and pipeline development is required.
  • Strong experience with REST APIs to enable seamless security platform integrations is necessary.
  • Expertise in data engineering, including ETL processes and data pipeline orchestration tools, is essential.
  • Experience with CI/CD tools such as GitLab CI/CD, Jenkins, Azure DevOps, or GitHub Actions is required.
  • Familiarity with Infrastructure-as-Code (IaC) tools like Terraform, CloudFormation, or Ansible is needed.
  • Hands-on experience with containerization (Docker) and orchestration tools (Kubernetes) is required.
  • Strong knowledge of SIEM (Splunk, Sentinel) and EDR tools (CrowdStrike, SentinelOne) is essential.
  • Understanding of SOAR platforms (Cortex XSOAR, Siemplify) for automating security workflows is necessary.
  • Excellent project management and communication skills are required, with the ability to translate technical concepts for non-technical stakeholders.
  • The candidate must be highly organized, with a strong ability to document and standardize processes.
  • Preferred qualifications include experience with GitOps workflows for security automation, familiarity with detection engineering frameworks such as Sigma, YARA, or YARA-L, knowledge of static code analysis tools (SonarQube), and relevant certifications (AWS Certified DevOps Engineer, Azure DevOps Engineer Expert).

Benefits:

  • The position offers a competitive salary based on experience and qualifications.
  • There is remote work flexibility within a collaborative and supportive team environment.
  • Comprehensive healthcare coverage is provided, including medical, dental, and vision plans.
  • A 401(k) match with immediate vesting is included in the benefits package.
  • Professional development opportunities, including training and certifications, are available.
  • Paid time off and holidays are offered to support work-life balance.
  • Employees will have access to cutting-edge technology and the opportunity to work on innovative security solutions.
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