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Elasticsearch Engineer Jobs (NOW HIRING)

Elastic Engineer

Chantilly, VA · On-site

$118K - $162K/yr

They are seeking an Elasticsearch Engineer to design, deploy, and maintain enterprise log analytics and monitoring solutions using the Elastic Stack, supporting a critical Identity, Credential, and ...

Elastic Engineer

Chantilly, VA · On-site

$118K - $162K/yr

They are seeking an Elasticsearch Engineer to design, deploy, and maintain enterprise log analytics and monitoring solutions using the Elastic Stack, focusing on building scalable, high-performance ...

Elastic Engineer

Chantilly, VA

$117K - $160K/yr

We are seeking an Elasticsearch Engineer to design, deploy, and maintain enterprise log analytics and monitoring solutions using the Elastic Stack. This role supports a critical Identity, Credential ...

Leidos has an exciting opportunity for a Elasticsearch Systems Engineer (SME) in our Intel Security Sector's Analysis Solutions Business Area . Our talented team is at the forefront in Security ...

Contribute to optimizing Elasticsearch infrastructure and configurations to ensure cluster health and optimal search performance. * Integration: Collaborate with developers to integrate the Elastic ...

Contribute to optimizing Elasticsearch infrastructure and configurations to ensure cluster health and optimal search performance. * Integration: Collaborate with developers to integrate the Elastic ...

Required Skills Java J2EE/ElasticSearch Required Experience Experience in Elastic Search should be ... AWS Certified Developer preferred Preferred education: Typically a Bachelor's Degree or global ...

ElasticSearch Relevancy Eng MAHIN-JOB-32559 Role - ElasticSearch Relevancy Eng Location - San Jose ... Proficiency in one or more programming languages such as Java. Familiarity with machine learning ...

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Elasticsearch Engineer information

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$45

$66

$90

How much do elasticsearch engineer jobs pay per hour?

As of Jun 15, 2026, the average hourly pay for elasticsearch engineer in the United States is $66.83, according to ZipRecruiter salary data. Most workers in this role earn between $55.05 and $79.09 per hour, depending on experience, location, and employer.

What is an Elasticsearch Engineer job?

An Elasticsearch Engineer is responsible for designing, implementing, and managing search and analytics solutions using Elasticsearch. They optimize search performance, ensure data indexing efficiency, and maintain cluster health and scalability. Additionally, they integrate Elasticsearch with various applications, troubleshoot issues, and enhance system security. Their role often involves working with data processing pipelines, query optimization, and infrastructure management.

What are the key skills and qualifications needed to thrive in the Elasticsearch Engineer position, and why are they important?

To thrive as an Elasticsearch Engineer, you need strong programming skills (particularly in Java, Python, or similar languages), in-depth knowledge of search algorithms and data indexing, and experience managing distributed systems. Familiarity with Elasticsearch, Kibana, Logstash (the ELK stack), cloud infrastructure (such as AWS or GCP), and relevant certifications like Elastic Certified Engineer are often required. Analytical problem-solving, attention to detail, and effective communication are key soft skills for success in this role. These abilities are crucial to design, implement, and optimize robust search solutions that efficiently meet business and user needs.

What does a typical day look like for an Elasticsearch Engineer?

A typical day for an Elasticsearch Engineer often involves designing and optimizing search architectures, developing custom queries or plugins, and ensuring the performance, security, and reliability of Elasticsearch clusters. You'll regularly collaborate with development teams to integrate Elasticsearch with various applications and may also monitor metrics, troubleshoot issues, and make improvements based on system usage data. Participation in code reviews and technical discussions is common, along with continuous learning to stay updated on new features and best practices. This hands-on and collaborative work environment helps ensure that large amounts of data are searchable and accessible to both technical and non-technical stakeholders.

More about Elasticsearch Engineer jobs
What cities are hiring for Elasticsearch Engineer jobs? Cities with the most Elasticsearch Engineer job openings:
What are the most commonly searched types of Elasticsearch Engineer jobs? The most popular types of Elasticsearch Engineer jobs are:
What states have the most Elasticsearch Engineer jobs? States with the most job openings for Elasticsearch Engineer jobs include:
Infographic showing various Elasticsearch Engineer job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $139,000 per year, or $66.8 per hour.
Elastic Engineer

Elastic Engineer

FANTOM CORPORATION

Chantilly, VA • On-site

$118K - $162K/yr

Full-time

Posted 12 days ago


Job description

Job Summary:
Fantom Corporation is a mission-focused organization supporting critical programs across the defense and intelligence community. They are seeking an Elasticsearch Engineer to design, deploy, and maintain enterprise log analytics and monitoring solutions using the Elastic Stack, supporting a critical Identity, Credential, and Access Management (ICAM) system.
Responsibilities:
• Design, develop, and deploy log analytics and monitoring solutions using the Elastic Stack (Elasticsearch, Logstash, Beats, Kibana)
• Deploy, configure, test, and maintain Elasticsearch clusters across development and production environments
• Monitor and optimize cluster performance, ensuring high availability and efficient search capabilities
• Configure Kibana dashboards and implement role-based access controls and multi-tenancy features
• Integrate Elastic Stack solutions with existing ICAM systems and enterprise infrastructure
• Troubleshoot and resolve issues related to data ingestion, infrastructure, and system performance
• Perform daily administration tasks, including upgrades, maintenance, and system health monitoring
• Gather and report system metrics on a monthly and quarterly basis
• Collaborate with developers and engineers to support system integration and feature development
• Participate in Agile development processes, including sprint planning, user story estimation, and backlog grooming
• Work within a DevSecOps environment utilizing CI/CD pipelines
• Conduct design reviews, peer reviews, and code reviews
• Develop technical documentation, including architecture diagrams, SOPs, and troubleshooting guides
Qualifications:
Required:
• Must posses an active Top Secret Security Clearance
• Must be willing to obtain a polygraph upon hire
• Bachelor’s degree in a related field with 8–12 years of experience, or Master’s degree with 6–10 years of experience
• 5+ years of experience designing, developing, and deploying solutions using the Elastic Stack (Elasticsearch, Logstash, Kibana, Beats)
• Experience in software development, system integration, or platform administration roles
• Strong knowledge of Elasticsearch cluster design, performance tuning, and troubleshooting
• Experience implementing Elastic security features, including SSL/TLS, authentication, and role-based access controls
• Experience working in Agile environments using tools such as Jira and Confluence
• Strong documentation skills, including SOPs, architecture diagrams, and troubleshooting guides
• Ability to work independently in a fast-paced, mission-critical environment
• Ability to obtain and maintain a CI Polygraph
• DoD 8570/8140 IAT Level II compliance
Preferred:
• Elastic Certified Engineer certification
• Experience with containerization and orchestration tools such as Docker and Kubernetes
• Experience supporting high-availability production systems with strict uptime requirements
• Familiarity with ICAM technologies and identity management concepts
Company:
Fantom Corporation provides Podcasting Media and Information Technology (IT) Services to customers in defense and intelligence agencies. Founded in 2014, the company is headquartered in Mclean, USA, with a team of 11-50 employees. The company is currently Early Stage.