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Elasticsearch Engineer Jobs (NOW HIRING)

Navtech, Inc.

Elastic Search Engineer

Manhattan, NY · On-site +1

I have an opportunity for "ElasticSearch Engineer" _ REMOTE " and I am looking for a candidate who can join Immediately if you are interested, reply to me with your updated resume or if you could ...

FANTOM CORPORATION

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 ...

RedBeard Solutions

Elastisearch Engineer

Chantilly, VA

$160K - $170K/yr

Elasticsearch Engineer WORK LOCATION: Chantilly, VA JOB CATEGORY: Information Technology JOB TYPE: Full Time CITIZENSHIP: United States Citizen CLEARANCE TYPE: Top Secret/SCI W/CI POLY TRAVEL ...

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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.

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Elasticsearch Engineer jobs near you
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.

ElasticSearch Engineer with Security Clearance

Bailey Information Technology, LLC

Chantilly, VA

Other

Posted 4 days ago

Job description

Bailey Information Technology Consultants is currently interviewing team members with experience in the following areas: Records Management and Tools, SIGINT, Software Development, Business Analysis, DevOps, Geospatial, Configuration Management, Technical Writing, and Engineering. We have multiple opportunities for forward-thinkers with a passion for great service and developing innovative solutions for intelligent customers. Bailey has been at the forefront of planning and development for various organizations in this vital industry.

Quality engineers require a quality organization and Bailey provides outstanding benefits and work-life balance that stand out in the industry. We are a company with a strong family atmosphere that prides itself on providing career growth opportunities for our employees. When you join our team, you'll be joining a modern working environment, filled with professional and friendly people.

We're invested in our people, so you'll find that there are plenty of opportunities for you to learn and continue to develop your career. Elasticsearch Engineer Location: Chantilly, VA Clearance: TS, SCI/Poly eligible Level: T4 Responsibilities: * Design, develop, and deploy a log analytics and infrastructure monitoring solution using the Elastic stack (Elasticsearch, Logstash, Beats, and Kibana). This solution will act in support of an existing identity, credential, and access management (ICAM) system.

* Deploy, configure, test, troubleshoot, maintain, upgrade Elastic clusters and environments * Plan resources and continuously optimize the infrastructure and configuration of Elasticsearch to maintain cluster health and search performance * Configure Kibana for end-user access using role-based filtering and/or multi-tenancy features * Interface with other developers to integrate Elastic stack with existing ICAM baseline * Responsible for gathering monthly and quarterly metrics for customer review * Resolve installation, infrastructure, data flow, and log ingest issues in both development and production environments * Perform daily administration tasks for Elasticsearch clusters and environments * Work in an Agile environment: estimate features and user stories, participate in developing sprint roadmaps, analyze user stories, develop design and architecture elements to support user story and / or feature development * Work in DevSecOps environment with automated CI/CD pipelines * Participate in design reviews * Develop mockups and wireframes * Conduct peer reviews and code reviews Requirements/Qualifications: * Bachelor's degree in related discipline plus 8-12 years of prior relevant experience or master's with 6-10 years of prior relevant experience * Experience as a software developer, integrator, administrator, or similar technical role * 5 or more years of demonstrable experience designing, developing, and deploying solutions using the Elastic stack, including Elasticsearch, Logstash, Kibana, and Beats. * Active Top Secret clearance * Must be able to obtain and maintain CI (Counterintelligence) polygraph * Must be DoD-8570/8140 level 2 compliant * Experience with Elastic stack security features, such as client authentication, SSL/TLS configuration, and role-based document filtering * Strong documentation skills with a proven ability to develop troubleshooting guides, standard operating procedures, architecture diagrams, etc. * Highly autonomous, self-directed, and proactive when it comes to maintaining system infrastructure and log data integrity * Experience working with Agile tools such as Jira / Confluence etc.

Preferred: * Elastic Certified Engineer * Experience with container orchestration technologies like Docker and Kubernetes * Experience working in a production environment with strict availability/uptime requirements * Experience or familiarity with identity, credential, and access management (ICAM) technologies and concepts Clearance Requirements* Requires an active Top Secret security clearance upon hire and must meet SCI eligibility. Must be willing and able to obtain a polygraph within the customer's timeline after hire. Applicants selected will be subject to a U.S.

Government security investigation and must meet eligibility requirements for access to classified information. Due to the nature of work performed within our facilities, U.S. citizenship is required.

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