Senior Elastic Stack Data Integration Engineer – Colorado Springs, CO or Huntsville, AL

CB5 Solutions LLC.; Colorado Springs (CO); On-site; USD 120,000 - 160,000; Full time

Benefits offered by this job

Job summary

cb5 Solutions LLC is seeking a Senior Elastic Stack Data Integration Engineer to design and maintain scalable data ingestion pipelines for Elastic SIEM. You will focus on building Logstash pipelines, ECS-aligned transformations, and high-availability architectures.

The role requires strong Elastic Stack experience, Linux proficiency, and DoD 8570-M IAT Level II certification with CE, plus DoW/Top Secret eligibility. You will collaborate across teams to ensure data supports analytics and audits.

Qualifications

• 4+ years of general full-time work experience.
• 3+ years in log ingestion, data engineering, or SIEM pipeline development.
• 2+ years in a management or leadership role.
• Strong Elastic Stack background (Elasticsearch, Kibana, Beats, Elastic Agent).
• Experience with data ingestion, processing, and enrichment techniques.
• Proficient with Linux administration and CLI operations.
• Active DoD DoD 8570.01-M IAT Level II certs and CE; clearance eligibility.

Responsibilities

• Design, build, and maintain data ingestion pipelines for Elastic SIEM.
• Develop scalable Logstash architectures and ECS-aligned data models.
• Implement parsing, enrichment, normalization, and ECS mapping.
• Optimize pipeline performance, resiliency, and high availability.
• Coordinate with teams for SIEM analytics needs and audits.

Skills

Logstash expertise

Data ingestion

Team leadership

Linux administration

Security clearance

Education

DoD 8570.01-M IAT Level II certification with CE

CCNA-Security, CySA+, GICSP, GSEC, Security+ CE, CND, SSCP

Tools

Elasticsearch

Kibana

Beats

Elastic Agent

Kafka

Redis

Job description

Senior Elastic Stack Data Integration Engineer - Colorado Springs, CO or Huntsville, AL

About the Job

At cb5, we are on a mission to find exceptional talent. Our tight-knit organization is led by five brothers, each technology leaders in their respective technical fields and driven to foster a culture of excellence through solidarity. We are seeking a Senior Elastic Stack Data Integration Engineer to serve as a member of the engineering team.

Key Responsibilities

As the Senior Elastic Stack Data Integration Engineer:

• The Senior Elastic Stack Data Integration Engineer will serve as the primary technical authority for designing, building, and maintaining data ingestion pipelines supporting Elastic SIEM. This role focuses on creating scalable, resilient Logstash architectures; developing advanced pipeline logic; normalizing, enriching, and transforming security telemetry; and ensuring reliable delivery of high-fidelity data to Elasticsearch.
• This role will perform the following:
  • Architect, build, and maintain Logstash pipelines to ingest and transform logs from diverse systems, including network devices, servers, cloud services, and security platforms.
  • Implement parsing, grok patterns, JSON transformations, conditional routing, enrichment logic, and ECS mapping.
  • Optimize pipeline performance, resiliency, and scalability (e.g., persistent queues, pipeline workers, memory tuning, load balancing).
  • Ensure all ingested data aligns to ECS (Elastic Common Schema) or internal schema requirements.
  • Implement data enrichment workflows (GeoIP, threat intel lookups, metadata injection).
  • Validate data completeness, integrity, and fidelity across ingestion flows.
  • Maintain and optimize Logstash clusters, including version management, scaling, tuning, and high-availability configurations.
  • Manage integrations with Beats, Elastic Agent, Kafka, syslog endpoints, and custom data collectors.
  • Monitor ingestion throughput, latency, and error rates; implement proactive alerting and troubleshooting processes.
  • Create and maintain technical documentation, including pipeline diagrams, data flow maps, runbooks, and schema references.
  • Establish enterprise standards for parsing, enrichment, normalization, and ingestion patterns.
  • Support internal and external audits by documenting data handling flows and pipeline logic.
  • Work closely with SIEM integration engineers to align pipelines with customer environments and logging requirements.
  • Partner with detection engineering teams to ensure data supports analytic coverage and rule development.
  • Collaborate with infrastructure and platform operations for deployment, scaling, and reliability engineering.

The successful candidate will have:

• Deep command of Logstash architecture, patterns, and performance optimization.
• Mastery of parsing, enrichment, normalization, and ECS alignment.
• Strong understanding of network protocols, logging patterns, and telemetry generation from enterprise systems.
• Advanced troubleshooting skills across data ingestion, pipeline logic, and Elastic Stack processing layers.
• Capability to design scalable, HA ingestion workflows with clear operational boundaries.
• Ability to conduct data modeling, schema design, and transformation mapping.
• Effective at interfacing with multiple teams, gathering requirements, and aligning pipeline designs with SIEM analytics needs.
• Focused on reliability, maintainability, and observability across all pipeline components.
• Strong attention to detail and a disciplined approach to documentation, versioning, and configuration management.
• Demonstrated ability to work independently, drive pipeline architecture decisions, and mentor junior engineers.
• Strong documentation, workflow diagramming, and communication skills.

Qualifications

• Must have 4, or more, years of general (full-time) work experience. May be reduced with completion of advanced education.
• Must have 3, or more, years of directly related experience in log ingestion, data engineering, or SIEM pipeline development.
• Must have 2, or more, years of experience working in a management or leadership role
• Must have a strong background in Elastic Stack components (Elasticsearch, Kibana, Beats, Elastic Agent).
• Must have experience with data ingestion, processing, and enrichment techniques.
• Must have hands-on experience ingesting, processing, and normalizing diverse log types (Windows events, syslog, firewall logs, cloud telemetry, security tooling).
• Must be proficient with Linux administration, system-level debugging, and CLI-based operations.
• Must have a DoD 8570.01-M IAT Level II certification with Continuing Education (CE) - (CCNA-Security, CySA+, GICSP, GSEC, Security+ CE, CND, SSCP)
• Must have an active DoW Secret Security Clearance
• Must be able to obtain, and maintain, a DoW Top Secret Security Clearance

Preferred Qualifications

• Be an Elastic Certified Engineer or have relevant Elastic Stack certifications.
• Have strong experience integrating Kafka, Redis, or other message bus technologies into ingestion workflows.
• Have scripting proficiency in Python, Bash, or PowerShell for automation and data validation.
• Have experience designing geo-distributed or multi-cluster ingestion architectures.
• Have knowledge of threat intelligence ingestion, correlation data enrichment, and advanced ECS mapping.
• Have experience with CI/CD pipelines, GitOps workflows, or Infrastructure-as-Code (Terraform, Ansible).
• Be familiar with data quality assurance frameworks and pipeline testing methodologies.
• Have knowledge of cloud-native logging architectures (AWS Firehose, Azure Event Hub, GCP Logging).

cb5 Solutions LLC is an Equal Opportunity Employer. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, disability, veteran status, or any other protected characteristic.

Attached documents must be in .PDF, .DOC, .DOCX format.