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Elasticsearch Developer Jobs in Virginia (NOW HIRING)

Backend Java Developer

Ashburn, VA · On-site

$51.75 - $67/hr

ElasticSearch * Kibana * AWS S3 * Strong understanding of cloud-native architecture * Experience designing scalable backend services * Excellent problem-solving and communication skills Preferred ...

... • Elasticsearch • Vue.js • AWS or other cloud experience • TS/SCI with Full-Scope Polygraph Preferred : • Working knowledge of DevOps, release engineering and operations approach to ...

... Elasticsearch o Comfort and familiarity designing and utilizing custom ETL methodology o Strong communication, design, and documentation skills o Strong time and workflow management skills o Comfort ...

JavaScript and Node.js * Elasticsearch * Vue.js * AWS or other cloud experience Desired Qualifications: * Working knowledge of DevOps, release engineering and operations approach to automate ...

JavaScript and Node.js * Elasticsearch * Vue.js * AWS or other cloud experience Desired Qualifications: * Working knowledge of DevOps, release engineering and operations approach to automate ...

Cloud DevOps Architect

Sterling, VA · On-site

$65.75 - $86.75/hr

... Elasticsearch, and ServiceNow to provide full operational visibility and enable rapid incident ... members on DevOps best practices and foster a culture of automation-first engineering ...

The Software Engineer will work with a large team of developers, software engineers and data ... Develop Java and Angular (Typescript) that leverage Elasticsearch * Comfort and familiarity ...

... • Elasticsearch • Vue.js • AWS or other cloud experience • TS/SCI with Full-Scope Polygraph Preferred : • Working knowledge of DevOps, release engineering and operations approach to ...

... Elasticsearch. • Modern JavaScript/Typescript UI frameworks such as Angular, React, or Vue. Company : SAIC specializes in IT, enterprise IT, engineering, and professional services. Founded in 1969 ...

Cloud DevOps Architect

Mclean, VA · On-site

$67.25 - $88.50/hr

... Elasticsearch, and ServiceNow to provide full operational visibility and enable rapid incident ... members on DevOps best practices and foster a culture of automation-first engineering ...

Design and optimize data indexing, search, and analytics capabilities using Elasticsearch. * Collaborate with systems architects, engineers, and mission stakeholders to translate operational ...

Design and optimize data indexing, search, and analytics capabilities using Elasticsearch. * Collaborate with systems architects, engineers, and mission stakeholders to translate operational ...

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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 Aug 15, 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 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 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 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 is the salary of Elasticsearch developer?

The salary of an Elasticsearch developer varies based on experience, location, and skill level, but typically ranges from $80,000 to $130,000 annually in many regions. Senior developers with advanced skills in Elasticsearch, distributed systems, and related tools can earn higher salaries, especially with certifications and extensive experience.

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 are popular job titles related to Elasticsearch Developer jobs in Virginia?

For Elasticsearch Developer jobs in Virginia, the most frequently searched job titles are:

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 August 2026, with employment types broken down into 82% Full Time, 4% Part Time, and 14% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution, with an average salary of $93,392 per year, or $44.9 per hour.

Backend Java Developer

Digital Links Inc

Ashburn, VA • On-site

$51.75 - $67/hr

Full-time

Re-posted 17 days ago


Job description

Job Title: Backend Java Developer

Location: Ashburn, VA (Hybrid – 2 Days Onsite)

Employment Type: Full-Time

Position Overview

We are seeking a Backend Java Developer with strong experience building scalable cloud-native applications supporting federal modernization programs. The ideal candidate should have hands-on expertise in Java development, microservices, cloud technologies, and enterprise databases.

Clearance (Priority)

Candidates with any of the following will be given priority:

  • Active CBP Clearance
  • Active DHS Clearance
  • Active Top Secret Clearance

Candidates must be U.S. Citizens and eligible to work on federal projects.

Required Qualifications

  • Bachelor's degree in Computer Science or related field
  • 3–7 years of Java development experience
  • Java 8/11/17
  • Spring Boot
  • Spring Cloud
  • REST APIs
  • Microservices Architecture
  • AWS Cloud
  • SQL
  • NoSQL
  • Oracle
  • PostgreSQL
  • MongoDB
  • DynamoDB
  • ElasticSearch
  • Kibana
  • AWS S3
  • Strong understanding of cloud-native architecture
  • Experience designing scalable backend services
  • Excellent problem-solving and communication skills

Preferred Skills

  • AWS GovCloud
  • Docker
  • Kubernetes
  • Helm
  • Jenkins
  • GitLab
  • Harness
  • Prometheus
  • Grafana
  • Dynatrace
  • Redis
  • Hazelcast
  • CI/CD pipelines