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Elasticsearch Certified Engineer Jobs (NOW HIRING)

Peraton

Interface Integration Engineer

Stuttgart, AR · On-site

$125 - $150/hr

Experience with ELK Stack to include Logstash pipelines, Elasticsearch indexing/querying, Kibana ... Elastic certifications such as Elastic Certified Engineer or Observability Engineer * Security ...

Mondo

Sr Elastic Engineer

Hampton, VA · On-site

$160/hr

Design, deploy, and maintain Elastic Stack environments including Elasticsearch, Kibana, Logstash ... Red Hat Certified Specialist in Ansible Automation

Peraton

Interface Integration Engineer

$80K - $128K/yr

Configure and manage ELK Stack (Elasticsearch, Logstash, Kibana) for log ingestion, monitoring, and ... Elastic certifications such as Elastic Certified Engineer or Observability Engineer * Security ...

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Elasticsearch Certified Engineer information

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How much do elasticsearch certified engineer jobs pay per hour?

As of Sep 9, 2026, the average hourly pay for elasticsearch certified engineer in the United States is $52.93, according to ZipRecruiter salary data. Most workers in this role earn between $38.46 and $63.94 per hour, depending on experience, location, and employer.

What is an Elasticsearch Certified Engineer?

An Elasticsearch Certified Engineer is an IT professional who has demonstrated expertise in deploying, managing, and troubleshooting Elasticsearch clusters. This certification, provided by Elastic, validates the individual's ability to use Elasticsearch for data indexing, searching, and analysis. Certified Engineers are proficient in Elasticsearch core concepts, mapping, querying, aggregation, and cluster maintenance. Earning this certification can enhance job prospects in roles related to search, analytics, and big data.

What are the key skills and qualifications needed to thrive as an Elasticsearch Certified Engineer?

To thrive as an Elasticsearch Certified Engineer, you need strong expertise in search and analytics concepts, data modeling, and proficiency with Elasticsearch, typically proven by certification. Familiarity with tools like Kibana, Logstash, Beats, and relevant APIs is essential, as is experience with Linux systems and scripting languages. Analytical thinking, problem-solving, and effective communication are key soft skills that help address complex technical challenges and collaborate with teams. These skills ensure optimal deployment, troubleshooting, and maintenance of Elasticsearch clusters, enabling efficient data-driven solutions.

What are some common challenges Elasticsearch Certified Engineers face when managing large-scale clusters?

Elasticsearch Certified Engineers often encounter challenges such as monitoring cluster health, optimizing query performance, and ensuring high availability as data grows. Balancing indexing speed with search efficiency and managing node failures are frequent concerns. Proactive maintenance, regular performance tuning, and effective use of Elasticsearch’s monitoring tools help address these issues. Collaboration with DevOps teams and data architects is also key to maintaining robust, scalable search infrastructures.

What is the difference between Elasticsearch Certified Engineer vs Elasticsearch Developer?

AspectElasticsearch Certified EngineerElasticsearch Developer
CertificationsOfficial Elasticsearch certificationsNot necessarily certified, may have general programming or Elasticsearch knowledge
Work EnvironmentFocus on deployment, configuration, and optimization of Elasticsearch clustersFocus on developing applications that integrate with Elasticsearch
Employer UsageUsed by organizations managing large-scale search infrastructureUsed by developers building search features into applications
Search & Comparison IntentUnderstanding certification and infrastructure skillsUnderstanding development and integration skills

The Elasticsearch Certified Engineer primarily focuses on deploying, configuring, and maintaining Elasticsearch clusters, often requiring official certifications. In contrast, Elasticsearch Developers concentrate on coding and integrating Elasticsearch into applications. Both roles are essential but serve different aspects of Elasticsearch usage in organizations.

What is the salary of Elasticsearch Certified Engineer?

The salary of an Elasticsearch Certified Engineer typically ranges from $80,000 to $130,000 annually, depending on experience, location, and the complexity of the environment. Certified professionals with advanced skills in Elasticsearch, data indexing, and search optimization tend to earn higher salaries.

What are popular job titles related to Elasticsearch Certified Engineer jobs?

For Elasticsearch Certified Engineer jobs, the most frequently searched job titles are:

Infographic showing various Elasticsearch Certified Engineer job openings in the United States as of September 2026, with employment types broken down into 1% Locum Tenens, 3% As Needed, 74% Full Time, 16% Part Time, and 6% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $110,095 per year, or $52.9 per hour.

Principal Elasticsearch Systems Engineer

Bethesda, MD • On-site

Leidos
IT Services • 10K+ employees
Learn more about Leidosexternal

Full-time

This job post has expired 2 days ago. Applications are no longer accepted.

Leidos rating

8.3

Company rating: 8.3 out of 10

Based on 153 frontline employees who took The Breakroom Quiz

81st of 500 rated business services

Job description

Job Summary:
Leidos has an exciting opportunity for a Principal Elasticsearch Systems Engineer in their Intel Security Sector's Analysis Solutions Business Area. This role provides support across an Agile team in a DevSecOps environment and focuses on maintaining a large enterprise Elasticsearch deployment, ensuring production scalability and stability while maintaining data integrity.
Responsibilities:
• Maintain Elasticsearch clusters in a cloud-based environment across multiple availability zones.
• Ensure Elasticsearch clusters run under optimal conditions.
• Evaluate and optimize Elasticsearch clusters, including configuration parameters, indexing, search, query performance tuning, security, and administration.
• Maintain infrastructure to ensure performance and data integrity.
• Keep Elasticsearch clusters upgraded, as permitted by the applications reliant on them.
Qualifications:
Required:
• 3+ years of experience with Elasticsearch Administration.
• Direct experience maintaining and integrating Elasticsearch within an operational enterprise information system.
• Experience working in an Agile development environment and tempo.
• Experience with deploying and using Elasticsearch in Commercial Cloud Platforms (e.g., AWS, Google Cloud, Azure).
• Bachelor’s with 12 or more years of relevant experience or a Master’s with 10 or more years of relevant experience. Will consider additional work experience in lieu of a degree.
• TS/SCI with Poly is required for consideration.
Preferred:
• Experience working on the customer’s systems.
• Understanding of the customer’s system development policies.
• Additional certifications related to Elasticsearch.
Company:
Leidos is an industry and technology leader serving government & commercial customers with smarter, more efficient digital and mission innovations. Founded in 1969, the company is headquartered in Reston, USA, with a team of 10001+ employees. The company is currently Late Stage.

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About Leidos

Sourced by ZipRecruiter

At Leidos, we deliver innovative solutions through the efforts of our diverse and talented people who are dedicated to our customers' success. We empower our teams, contribute to our communities, and operate sustainable practices. Everything we do is built on a commitment to do the right thing for our customers, our people, and our community.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Reston, VA, US

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