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Staff Security Logging Engineer

Catapult Federal Services

Location

Monett, MO

Salary

Not specified

Type

fulltime

Posted

Today

via linkedin

Job Description

IT

Monett, MO Mar 16, 2026

Staff Security Logging Engineer

Remote \| MUST BE WITHIN 70 MILES OF

Markets/Locations: HQ - Monett, MO \| Albuquerque, NM \| Allen, TX \| Alpharetta, GA \| Angola, IN \| Bethlehem, PA \| Birmingham, AL \| Brentwood, TN \| Cedar Falls, IA \| Charlotte, NC \| Elizabethtown, KY \| Houston, TX \| Lenexa, KS \| Lombard, IL \| Louisville, KY \| Mendota Heights, MN \| Oklahoma City, OK \| Omaha, NE \| Redwood City, CA \| San Diego, CA \| Seattle, WA \| Shawnee, KS \| Springfield, MO \| Totowa, NJ \| Troy, MI.

12 Month Contract

About Our Client

Our client is a highly respected organization focused on building resilient and scalable cybersecurity operations. Their security team operates at the intersection of data engineering, observability, and threat defense, ensuring that enterprise security platforms receive the right data at the right time to detect and respond to threats.

They are seeking a Senior Security Data Pipeline Engineer with deep expertise in Splunk and Cribl ecosystems to architect and optimize large-scale telemetry pipelines that support SOC, SIEM, and security analytics platforms. This role is ideal for someone who thrives in complex enterprise environments and enjoys building highly reliable, scalable data infrastructure that powers modern cybersecurity operations.

Job Description

As a Senior Security Data Pipeline Engineer, you will design, implement, and optimize enterprise logging and security data platforms that support critical security operations. You will be responsible for building scalable data pipelines that ingest, normalize, and deliver security telemetry across multiple platforms including SIEM, SOAR, and cloud-native data lakes.

This role requires strong architectural thinking and the ability to collaborate with incident response, detection engineering, and security operations teams to ensure that security data pipelines remain reliable, cost-efficient, and highly performant.

What You’ll Do

  • Design and implement enterprise logging and security data platforms.
  • Architect and maintain scalable pipelines that ingest, parse, and normalize security telemetry from cloud, endpoint, network, and identity sources.
  • Identify suboptimal configurations within logging and data platforms and develop remediation strategies.
  • Develop and implement license management, ingest optimization, and cost-control strategies for security data platforms.
  • Build and maintain dashboards and alerts to monitor pipeline latency, throughput, and log source health to prevent data loss.
  • Implement data lifecycle strategies, including retention, archiving, and tiering to balance compliance and storage costs.
  • Partner with Incident Response and Detection Engineering teams to ensure telemetry is delivered in the correct format and timeframe.
  • Research and implement improvements to security tools across host, network, and cloud environments.
  • Provide advanced troubleshooting for complex cybersecurity-related issues.
  • Lead cybersecurity projects and drive improvements to platform performance and reliability.
  • Develop and implement standards that ensure cybersecurity controls align with approved security policies.
  • Lead documentation efforts and continuous process improvement initiatives.
  • Mentor junior engineers and provide technical guidance across the team.
  • Resolve escalated security cases and perform additional duties as needed.

Required Skills

  • Minimum 9 years of experience in security data observability, logging architecture, or data pipeline engineering supporting SOC or security operations environments.
  • Certified Cribl Engineer certification required.
  • At least 2 years of hands-on experience administering or engineering with Cribl.
  • Strong engineering-level experience with Splunk including ingestion, pipeline optimization, and data management.
  • Demonstrated experience working with major SIEM and/or SOAR platforms.
  • Strong experience designing and optimizing large-scale data ingestion pipelines.
  • Experience with enterprise logging architectures and telemetry normalization.
  • Ability to troubleshoot complex data pipeline and security platform issues.

Education

Bachelor’s degree in Cybersecurity, Computer Science, Information Systems, or a related field, or equivalent professional experience.

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