Position Title: Senior Elastic Stack Data Integration Engineer

Location: Schriever Space Force Base, Colorado Springs, CO or Redstone Arsenal, Huntsville, AL

Relocation Assistance: None available at this time

Remote/Telework: NO - Not available for this position

Clearance Type: DoW Secret

Shift: Day shift

Travel Required: Up to 10% of the time

Description of Duties:

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.

Key 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 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.

Resumes, in month and year format, must be submitted with application in order to be considered for the position.  The selected candidate may be assigned as an employee for one of our teammate companies.

Basic Requirements:

• 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

Desired Requirements:

• 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).

This position will be posted for a minimum of 3 days. If a candidate has not been selected at that time, it will continue to be posted until a suitable candidate is selected or the position is closed.

Compensation Details:

The compensation range or hourly rate listed for this position is provided as a good-faith estimate of what the company intends to offer for this role at the time this posting was issued. Actual compensation may vary based on factors such as job responsibilities, education, experience, skills, internal equity, market data, applicable collective bargaining agreements, and relevant laws.

Benefits Overview:

Our health and welfare benefits are designed to support you and your priorities. Offerings include:

• Health, dental, and vision insurance

• Paid time off and holidays

• Retirement benefits (including 401(k) matching)

• Educational reimbursement

• Parental leave

• Employee stock purchase plan

• Tax-saving options

• Disability and life insurance

• Pet insurance

Note: Benefits may vary based on employment type, location, and applicable agreements. Positions governed by a Collective Bargaining Agreement (CBA), the McNamara-O'Hara Service Contract Act (SCA), or other employment contracts may include different provisions/benefits.

Original Posting:

Amentum anticipates this job requisition will remain open for at least three days, with a closing date no earlier than three days after the original posting. This timeline may change based on business needs.

Amentum is proud to be an Equal Opportunity Employer. Our hiring practices provide equal opportunity for employment without regard to race, sex, sexual orientation, pregnancy (including pregnancy, childbirth, breastfeeding, or medical conditions related to pregnancy, childbirth, or breastfeeding), age, ancestry, United States military or veteran status, color, religion, creed,  marital or domestic partner status, medical condition, genetic information, national origin, citizenship status, low-income status, or mental or physical disability so long as the essential functions of the job can be performed with or without reasonable accommodation, or any other protected category under federal, state, or local law. Learn more about your rights under Federal laws and supplemental language at Labor Laws Posters.