ZipRecruiter

Log In

1

Elasticsearch Jobs (NOW HIRING)

Leidos

Elasticsearch Systems Engineer (SME)

Bethesda, MD · On-site

$154K - $278K/yr

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 ...

previous page

Showing results 41-60

All JobsTechnology JobsElasticsearch Jobs

Elasticsearch information

See salary details

$52

$67

$75

How much do elasticsearch jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for elasticsearch in the United States is $67.93, according to ZipRecruiter salary data. Most workers in this role earn between $56.49 and $74.28 per hour, depending on experience, location, and employer.

What does an Elasticsearch do?

An Elasticsearch job typically involves designing, implementing, and managing search and analytics solutions using Elasticsearch. Responsibilities may include indexing large datasets, optimizing search queries, maintaining cluster performance, and ensuring data availability. Professionals in this role often work with technologies like Kibana, Logstash, and Beats to analyze and visualize data. Strong knowledge of distributed systems, query performance tuning, and security best practices is essential.

What skills and qualifications are needed for an Elasticsearch?

To thrive as an Elasticsearch Engineer, you need strong expertise in distributed systems, search algorithms, and a deep understanding of Elasticsearch architecture, typically supported by a background in computer science or related fields. Familiarity with tools such as Kibana, Logstash, Beats, and proficiency in scripting languages like Python or Java are crucial, and Elasticsearch certification is highly valued. Analytical thinking, problem-solving abilities, and strong communication skills set outstanding professionals apart in this field. These competencies ensure effective management, optimization, and troubleshooting of search infrastructure critical to business operations.

More about Elasticsearch jobs

What cities are hiring for Elasticsearch jobs?

Cities with the most Elasticsearch job openings:

What are the most commonly searched types of Elasticsearch jobs?

The most popular types of Elasticsearch jobs are:

What states have the most Elasticsearch jobs?

States with the most job openings for Elasticsearch jobs include:

What job categories do people searching Elasticsearch jobs look for?

The top searched job categories for Elasticsearch jobs are:

Elasticsearch jobs near you
Infographic showing various Elasticsearch job openings in the United States as of August 2026, with employment types broken down into 50% Full Time, and 50% Contract. Highlights an 50% In-person, 25% Hybrid, and 25% Remote job distribution, with an average salary of $141,299 per year, or $67.9 per hour.

Elasticsearch Engineer

Trinity Global Consulting

Chantilly, VA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 28 days ago

Job description

Duties May Include
  • Design, develop, and deploy a log analytics and infrastructure monitoring solution using the full Elastic stack (Elasticsearch, Logstash, Beats, and Kibana) in support of an existing ICAM system.
  • Deploy, configure, test, troubleshoot, maintain, and upgrade Elastic clusters and environments, including daily administration tasks.
  • Optimize infrastructure and configuration of Elasticsearch to continuously maintain cluster health, search performance, and log data integrity across development and production environments.
  • Configure Kibana for end-user access using role-based filtering and/or multi-tenancy features; interface with developers to integrate the Elastic stack with the existing ICAM baseline.
  • Work within an Agile/DevSecOps environment, participating in sprint planning, design reviews, code reviews, and CI/CD pipeline automation; develop mockups, wireframes, and architecture documentation.
  • Gather and report monthly and quarterly metrics for customer review; develop and maintain troubleshooting guides, SOPs, and architecture diagrams.

Requirements

Required Qualifications
  • Bachelor's degree in a related discipline plus 8-12 years of prior relevant experience, or Master's degree with 6-10 years of prior relevant experience.
  • 5 or more years of demonstrable experience designing, developing, and deploying solutions using the Elastic stack (Elasticsearch, Logstash, Kibana, and Beats).
  • Active Top Secret security clearance; must be able to obtain and maintain a CI (Counterintelligence) polygraph.
  • Must be DoD-8570/8140 Level 2 compliant.
  • Experience with Elastic stack security features including client authentication, SSL/TLS configuration, and role-based document filtering.
  • Strong documentation skills with demonstrated ability to produce troubleshooting guides, SOPs, and architecture diagrams.
  • Experience working with Agile tools such as Jira and Confluence; must be highly autonomous and proactive in maintaining system infrastructure and data integrity.
  • U.S. citizenship required.
Desired Qualifications
  • Elastic Certified Engineer certification.
  • Experience with container orchestration technologies such as Docker and Kubernetes.
  • Experience working in a production environment with strict availability and uptime requirements.
  • Experience or familiarity with Identity, Credential, and Access Management (ICAM) technologies and concepts.

Benefits

At Trinity Global Consulting (TGC), we value our employees and provide a comprehensive benefits package that includes:

  • Medical, Dental & Vision Coverage – Coverage for eligible employees and family through CareFirst and VSP.
  • Paid Time Off – PTO granted in accordance with contract requirements.
  • Paid Holidays – 11 federal holidays observed annually.
  • Disability & Life Insurance – Short-term/long-term disability, life insurance, and AD&D coverage included.
  • 401(k) Retirement Plan – Competitive plan managed through Ameritas.
  • Professional Training – Formal training provided as required, with additional learning opportunities based on role.