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Elasticsearch Developer Jobs in Virginia (NOW HIRING)

Sr Elasticsearch Engineer

Chantilly, VA · On-site

$107K - $146.90K/yr

Experience as a software developer, integrator, administrator, or similar technical role * 5 or ... Elasticsearch, Logstash, Kibana, and Beats. * Active Top Secret clearance * Must be able to obtain ...

Contribute to optimizing Elasticsearch infrastructure and configurations to ensure cluster health ... Experience as a software developer, integrator, administrator, or similar technical role. * Must be ...

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Elasticsearch Developer information

See Virginia salary details

$18

$44

$100

How much do elasticsearch developer jobs pay per hour?

As of May 30, 2026, the average hourly pay for elasticsearch developer in Virginia is $44.90, according to ZipRecruiter salary data. Most workers in this role earn between $23.37 and $54.33 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Elasticsearch Developer, and why are they important?

To thrive as an Elasticsearch Developer, you need a strong background in software development, information retrieval, and experience with Elasticsearch and related technologies, typically supported by a degree in computer science or a related field. Proficiency with Elasticsearch APIs, Kibana, Logstash, and experience with scripting languages like Python or Java are commonly required, along with relevant certifications such as Elastic Certified Engineer. Analytical thinking, problem-solving ability, and effective communication help developers collaborate and address complex search and data challenges. These skills ensure efficient data indexing, retrieval, and analysis, driving scalable solutions in data-driven environments.

What are some common challenges Elasticsearch Developers face when optimizing large-scale search queries, and how can they address them?

Elasticsearch Developers often encounter challenges such as slow query performance and resource bottlenecks when dealing with large datasets. To address these issues, developers should focus on designing efficient index mappings, utilizing filters instead of queries where possible, and leveraging features like pagination and aggregations carefully. Monitoring cluster health and resource usage is also key, as is regularly updating and tuning the underlying infrastructure. Collaborating closely with DevOps and data engineering teams ensures optimal configurations and quick resolution of performance problems.

What does an Elasticsearch Developer do?

An Elasticsearch Developer specializes in designing, developing, and maintaining search and analytics solutions using Elasticsearch, an open-source search and analytics engine. They are responsible for creating efficient data indexing, building search queries, optimizing performance, and integrating Elasticsearch with other applications. Additionally, they troubleshoot issues, ensure data security, and help organizations make the most of their data through scalable search capabilities.

What is the difference between Elasticsearch Developer vs Data Engineer?

AspectElasticsearch DeveloperData Engineer
Required CredentialsProficiency in Elasticsearch, JSON, REST APIsSQL, Python, ETL tools, cloud platforms
Work EnvironmentFocus on search, indexing, and data retrieval within applicationsBuild data pipelines, manage databases, and optimize data flow
Employer & Industry UsageTech companies, e-commerce, search enginesFinance, healthcare, tech firms, data-driven organizations

Elasticsearch Developers specialize in implementing and optimizing Elasticsearch for search and analytics, focusing on search engine functionalities. Data Engineers design and maintain data pipelines and infrastructure, often working with multiple tools and platforms. While both roles require data handling skills, Elasticsearch Developers focus on search solutions, whereas Data Engineers handle broader data architecture and processing tasks.

What job categories do people searching Elasticsearch Developer jobs in Virginia look for? The top searched job categories for Elasticsearch Developer jobs in Virginia are:
Infographic showing various Elasticsearch Developer job openings in Virginia as of May 2026, with employment types broken down into 3% Internship, 80% Full Time, 11% Part Time, and 6% Contract. Highlights an 94% Physical, 5% Hybrid, and 1% Remote job distribution, with an average salary of $93,392 per year, or $44.9 per hour.
Elasticsearch Engineer

Elasticsearch Engineer

E&M Technologies, Inc.

Chantilly, VA • On-site

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 25 days ago


Job description

Description

POSITION: Elasticsearch Engineer 

WORK LOCATION: Chantilly, VA 

JOB CATEGORY: Information Technology

JOB TYPE: Full Time


REQUISITION ID: EM 07-051 

CITIZENSHIP:  United States Citizen

CLEARANCE TYPE:  Top Secret/SCI W/CI POLY 

TRAVEL REQUIREMENTS: Yes, up to 10%


E&M Technologies, Inc. is dedicated to recruiting and developing diverse, high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers' mission and quest for professional growth. E&M provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do. 


E&M Technologies, Inc. is currently seeking an Elasticsearch Engineer to join our team in Chantilly, VA in support of NGA. The NGA delivers world-class geospatial intelligence that provides a decisive advantage to policymakers, military service members, intelligence professionals, and first responder. 

Job 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

Minimum Qualifications:  

  • Bachelor's degree in related discipline plus 8-12 years of prior relevant experience or master's with 6-10 years of prior 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. 
  • 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.  
  • Must be a U.S. Citizen. 
  • Must have or be capable of obtaining a U.S. Department of Defense (DoD) security clearance at the required level. 

Preferred Qualifications:  

  • 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 

To Apply for this Position: 

You must have the Minimum Qualifications in your resume to be selected as a candidate. 


The salary range provided is a good faith estimate representative of all experience levels. E&M considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills. 


Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement. 


This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply.? 


E&M anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require E&M to shorten or extend the application window.? 


E&M is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. E&M provides affirmative action in employment for qualified Individuals with a Disability and Protected 


Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act.

As part of the federal government's transition to the Trusted Workforce 2.0 Continuous Vetting framework, the Defense Counterintelligence and Security Agency (DCSA) is expanding enrollment in the FBI Rap Back program for cleared industry personnel beginning April 1, 2026.


Rap Back (Record of Arrest and Prosecution Back) is a service provided by the FBI that allows authorized agencies to receive notifications if there are updates to an individual's criminal history record while they hold a security clearance. This supports continuous vetting of cleared personnel.


Per DCSA guidance, we are required to provide the following FBI privacy advisements to all cleared employees:


FBI Privacy Act Notice

https://www.fbi.gov/how-we-can-help-you/more-fbi-services-and-information/compact-council/privacy-act-statement 

Noncriminal Justice Applicant's Privacy Rights

https://www.fbi.gov/how-we-can-help-you/more-fbi-services-and-information/compact-council/guiding-principles-noncriminal-justice-applicants-privacy-rights