Security Data Engineering and Automation Lead - (Remote - Texas)

Job Description

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For one of our clients, we are looking for a Security Data Engineering and Automation Lead - REMOTE, working remotely from Houston, Texas.

As a Security Data Engineering and Automation Lead, you will play a critical role in designing, implementing, and maintaining a unified data model to support security operations. This position focuses on data engineering, automation, and advanced detection strategies to stay ahead of emerging threats. You will be responsible for 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, will be essential in driving innovation and optimizing security workflows.

Accountabilities:

• Design, implement, and maintain a unified security data model to standardize data ingestion and integration.
• Build and manage a centralized security data lake to support AI-driven threat detection and analytics.
• Develop automation pipelines for deploying, managing, and configuring security detections across SIEMs, EDRs, and other platforms.
• Implement CI/CD pipelines to streamline the deployment of detection rules, ensuring compatibility across multiple security platforms.
• Architect and integrate Security Orchestration, Automation, and Response (SOAR) functions to enhance SOC operations.
• Work closely with stakeholders to refine detection engineering pipelines and automate repetitive security tasks.
• Lead projects with a strong focus on collaboration, documentation, and process standardization.

Requirements

• Proficiency in Python for automation, data integration, and pipeline development.
• Strong experience with REST APIs to enable seamless security platform integrations.
• Expertise in data engineering, including ETL processes and data pipeline orchestration tools.
• Experience with CI/CD tools such as GitLab CI/CD, Jenkins, Azure DevOps, or GitHub Actions.
• Familiarity with Infrastructure-as-Code (IaC) tools like Terraform, CloudFormation, or Ansible.
• Hands-on experience with containerization (Docker) and orchestration tools (Kubernetes).
• Strong knowledge of SIEM (Splunk, Sentinel) and EDR tools (CrowdStrike, SentinelOne).
• Understanding of SOAR platforms (Cortex XSOAR, Siemplify) for automating security workflows.
• Excellent project management and communication skills, with the ability to translate technical concepts for non-technical stakeholders.
• Highly organized, with a strong ability to document and standardize processes.

Preferred:

• 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 security testing in CI/CD pipelines.
• Relevant certifications (AWS Certified DevOps Engineer, Azure DevOps Engineer Expert).

Benefits

• Competitive salary based on experience and qualifications.
• Remote work flexibility with a collaborative and supportive team environment.
• Comprehensive healthcare coverage, including medical, dental, and vision plans.
• 401(k) match with immediate vesting.
• Professional development opportunities, including training and certifications.
• Paid time off and holidays to support work-life balance.
• Access to cutting-edge technology and the opportunity to work on innovative security solutions.

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