Senior Elasticsearch Engineer

CACI International Inc

. Architect, design, and optimize Elasticsearch clusters, indexes, mappings, and data models at scale .

Posted 10/7/2026full-timeRemote • United StatesSenior💰 $98,500 - $206,800 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in Elasticsearch architecture, cluster optimization, and data modeling, alongside advanced proficiency in Kibana analytics and cloud-based data platforms. Capable of leading technical initiatives, mentoring teams, and applying enterprise-level data security and compliance best practices.

Highest-signal resume keywords

Elasticsearch InternalsKibana AnalyticsAWS ServicesSQL and PL/SQLTechnical Leadership

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

ElasticsearchKibanaSQLPL/SQLGroovyPythonApache NiFiDevOps PipelinesContainerized DeploymentsMachine Learning

Soft Skills

Strong CommunicationMentoring

Tools & Technologies

AWSOraclePostgreSQLGitLabJenkins

Certifications & Qualifications

Elastic EngineerElastic AnalystElastic ObservabilityAWS Solutions Architect

Industry Keywords

Data SecurityComplianceObservabilityData MigrationSAFe Teams

Tech Stack

Tools & technologies

ApacheAWSCloudElasticSearchGroovyJenkinsOraclePostgresPythonSQL

About the role

Key responsibilities & impact

Architect, design, and optimize Elasticsearch clusters, indexes, mappings, and data models at scale
Develop dashboards, scripted queries, alerting strategies, and analytics in Kibana
Lead development and governance of ingestion and extraction workflows using Apache NiFi
Drive enhancements to the Procurement Integrated Enterprise Environment (PIEE)
Oversee performance tuning, cluster health, resilience, and observability across distributed environments
Provide technical leadership within SAFe teams on system design, data patterns, and integration impacts
Apply enterprise-level data security, compliance, and migration best practices
Evaluate Elastic Stack capabilities and develop multi-phase upgrade roadmaps with impact analysis
Collaborate with product owners, developers, and cross-functional teams on platform capability adoption
Mentor mid-level and junior engineers and establish engineering standards
Develop long-term technical roadmaps aligned with mission needs

Requirements

What you’ll need

Bachelor’s degree in Computer Science, Engineering, or a related field; experience may be considered in lieu of degree
Eight or more years of progressive engineering experience
Two or more years of hands-on professional Elasticsearch experience
Expert-level proficiency in Elasticsearch internals, cluster tuning, scaling strategies, shard allocation, and snapshot management
Advanced experience with Kibana analytics, scripted fields, pipeline aggregations, alerting, and observability
Strong SQL and PL/SQL skills
Experience with Oracle or PostgreSQL
Experience with AWS services such as S3, RDS, and EKS, or equivalent cloud-based data platforms
Ability to lead technical initiatives and influence architectural direction
Willing and able to obtain a DoD Secret Clearance
Experience with vector search engines, embeddings, similarity algorithms, and hybrid search approaches
Familiarity with machine learning-driven observability, anomaly detection, log and metric correlation, and predictive alerting
Experience with relational database management systems, including Oracle, PostgreSQL, or SQL Server
Proficiency in Groovy, Python, or similar scripting languages
Understanding of containerized deployments and infrastructure as code
Experience leading or mentoring technical teams
Elastic certifications such as Engineer, Analyst, or Observability
AWS certifications such as Solutions Architect
Experience with DevOps pipelines, CI/CD, GitLab, or Jenkins
Background in machine learning or data science workflows
Strong communication skills and ability to work across diverse technical and functional teams
Proven success supporting or leading efforts in fast-paced, mission-driven environments
Minimum Secret clearance requirement to start is stated in the job details; the qualifications state willingness and ability to obtain it
Up to 10% travel may be required
Type of travel: Continental US

Benefits

Comp & perks

Flexible time off benefit
Robust learning resources
Healthcare benefits
Wellness benefits
Financial benefits
Retirement benefits
Family support benefits
Continuing education benefits
Time off benefits
Competitive compensation
Learning and development opportunities