Elasticsearch Engineer

Description

The company is hiring a full-time Elasticsearch Engineer in its Engineering category to support search, analytics and data engineering for acquisition and contract lifecycle systems that are mission-critical.

You will build scalable, robust solutions across complex data environments and bring deep Elasticsearch expertise to mission-focused work.

Responsibilities

• Design and tune Elasticsearch clusters, indexes, mappings and data models for large-scale use.
• Build advanced Kibana dashboards, scripted queries, alerting logic and analytics.
• Help lead the development and governance of ingestion and extraction workflows built on Apache NiFi.
• Drive improvements to the team's procurement system.
• Manage performance tuning, cluster health, resilience and observability across distributed environments.
• Provide technical leadership within SAFe teams on system design, data patterns and integration effects.
• Apply enterprise data security, compliance and migration practices.
• Track Elastic Stack developments, evaluate new features, and plan multi-phase upgrades, including impact on application code, APIs, integrations and external dependencies.
• Work with product owners, developers and other cross-functional teams so new platform capabilities are adopted safely and in step.
• Mentor junior engineers and set best practices and engineering standards.
• Develop long-term technical roadmaps that match changing mission needs.

Requirements

• Required:
• Bachelor's degree in computer science, engineering or a related field. Experience can be accepted in place of the degree.
• Six or more years of progressive engineering experience, including at least 2 years of hands-on professional Elasticsearch work.
• Expert knowledge of 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, plus experience with Oracle or PostgreSQL.
• Experience with AWS services such as S3, RDS and EKS, or comparable cloud-based data platforms.
• Proven ability to lead technical initiatives and shape architectural direction.
• Willing and able to obtain a DoD Secret clearance.
• Desired:
• Experience with vector search engines, embeddings, similarity algorithms and hybrid search approaches.
• Familiarity with machine learning-driven observability, including anomaly detection, log and metric correlation and predictive alerting.
• Experience with relational database platforms such as Oracle, PostgreSQL or SQL Server.
• Proficiency in Groovy, Python or similar scripting languages for automation and pipeline orchestration.
• Understanding of containerized deployments and infrastructure as code.
• Experience leading or mentoring technical teams.
• Elastic certifications such as Engineer, Analyst, Observability or similar.
• AWS certifications such as Solutions Architect or similar.
• Experience with DevOps pipelines, CI/CD, GitLab or Jenkins.
• Background in machine learning or data science workflows.
• Strong communication skills and the ability to work across technical and functional teams.
• Proven success supporting or leading work in fast-paced, mission-driven environments.

Conditions

Full-time, regular position.

Up to 10% travel, within the continental US.

Minimum clearance to start: Secret.

Salary depends on factors such as location, Federal Government contract labor categories and wage rates, relevant experience, specific skills, education and certifications.

Proposed salary range: $82,100-$172,400. Because the role can be worked in more than one location, this is the national average for the position.

Benefits

• Competitive pay, benefits and learning and development opportunities.
• Comprehensive coverage including healthcare, wellness, financial, retirement, family support, continuing education and time off.
• Flexible time off that lets you take the time you need.
• Access to robust learning resources.