Senior Elastic Stack Data Integration Engineer

LaunchTech•Colorado Springs, CO

15h

About The Position

LaunchTech is seeking a Senior Elastic Stack Data Integration Engineer to support the Missile Defense Agency (MDA) on the Integrated Research and Development for Enterprise Solutions (IRES) contract. In this role, you will serve as the primary technical authority for designing, building, and maintaining data ingestion pipelines supporting Elastic SIEM . The position focuses on architecting scalable Logstash ingestion frameworks, developing advanced pipeline logic, normalizing and enriching security telemetry, and ensuring reliable delivery of high-fidelity data into Elasticsearch for mission-critical cyber operations. What You’ll Be Doing The Senior Elastic Stack Data Integration Engineer will: Architect, build, and maintain Logstash pipelines to ingest and transform logs from diverse systems including network devices, servers, cloud services, and security platforms Implement advanced parsing, grok patterns, JSON transformations, conditional routing, enrichment logic, and ECS mapping Optimize pipeline performance, resiliency, and scalability through persistent queues, pipeline workers, memory tuning, and load balancing Ensure ingested data aligns with Elastic Common Schema (ECS) or internal schema standards Implement enrichment workflows including GeoIP enrichment, threat intelligence lookups, and metadata injection Validate data completeness, integrity, and fidelity across ingestion pipelines 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 while implementing proactive alerting and troubleshooting processes Create and maintain 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 ingestion pipelines with customer environments and logging requirements Partner with detection engineering teams to ensure telemetry supports analytic coverage and detection rule development Collaborate with infrastructure and platform operations teams to support deployment, scaling, and reliability engineering efforts Mentor junior engineers and support technical leadership across pipeline architecture decisions What You Bring

Requirements

Must have 10 or more years of general (full-time) work experience
Experience requirement may be reduced with completion of advanced education
Must have 5 or more years of experience in log ingestion, data engineering, or SIEM pipeline development
Must have 2 or more years of experience in a lead or senior role mentoring and guiding technical teams
Must have strong experience with Elastic Stack components including Elasticsearch, Kibana, Beats, and Elastic Agent
Must have experience with data ingestion, transformation, and enrichment techniques
Must have hands-on experience ingesting and normalizing diverse log types including Windows events, syslog, firewall logs, cloud telemetry, and security tooling
Must be proficient with Linux administration, system debugging, and command-line operations
Must possess a DoD 8570.01-M IAT Level II certification with CE (Security+ CE, CySA+, GSEC, SSCP, CND, CCNA-Security, or equivalent)
Must have an active DoD Secret Security Clearance
Must be able to obtain a DoD Top Secret Security Clearance

Nice To Haves

Elastic Certified Engineer or relevant Elastic Stack certifications
Experience integrating Kafka, Redis, or other message bus technologies into ingestion pipelines
Proficiency in scripting languages such as Python, Bash, or PowerShell for automation and data validation
Experience designing geo-distributed or multi-cluster ingestion architectures
Knowledge of threat intelligence ingestion, correlation enrichment, and advanced ECS mapping
Experience with CI/CD pipelines, GitOps workflows, or Infrastructure-as-Code tools such as Terraform or Ansible
Familiarity with data quality assurance frameworks and pipeline testing methodologies
Knowledge of cloud-native logging architectures such as AWS Firehose, Azure Event Hub, or Google Cloud Logging

Responsibilities

Architect, build, and maintain Logstash pipelines to ingest and transform logs from diverse systems including network devices, servers, cloud services, and security platforms
Implement advanced parsing, grok patterns, JSON transformations, conditional routing, enrichment logic, and ECS mapping
Optimize pipeline performance, resiliency, and scalability through persistent queues, pipeline workers, memory tuning, and load balancing
Ensure ingested data aligns with Elastic Common Schema (ECS) or internal schema standards
Implement enrichment workflows including GeoIP enrichment, threat intelligence lookups, and metadata injection
Validate data completeness, integrity, and fidelity across ingestion pipelines
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 while implementing proactive alerting and troubleshooting processes
Create and maintain 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 ingestion pipelines with customer environments and logging requirements
Partner with detection engineering teams to ensure telemetry supports analytic coverage and detection rule development
Collaborate with infrastructure and platform operations teams to support deployment, scaling, and reliability engineering efforts
Mentor junior engineers and support technical leadership across pipeline architecture decisions