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Elasticsearch Engineer Jobs in Virginia (NOW HIRING)

Design, develop, query, optimize, and maintain Elasticsearch and AWS OpenSearch environments ... Apply knowledge of programming, software tools, operating systems, networking, and cloud ...

Data Pipeline Engineer (Junior - Mid)

Arlington, VA · On-site +1

$131K - $158K/yr

On the DHS CDM Data Services Program, our engineers build the data pipelines and Elasticsearch platforms that give agency stakeholders a unified, single-pane-of-glass view of their cyber terrain.

Software Engineer with Security Clearance

Chantilly, VA · On-site

$62 - $80.50/hr

Design, develop, query, optimize, and maintain Elasticsearch and AWS OpenSearch environments ... Apply knowledge of programming, software tools, operating systems, networking, and cloud ...

Experience integrating Elasticsearch with external systems (e.g. SOAR tools, Threat Intel Platforms) * Experience with data management: hot/warm/cold architectures, shard allocation/re-allocation ...

... ElasticSearch/AWS OpenSearch and related technologies • Writing and tuning complex queries ... developers to identify and implement infrastructure and deployment requirements Qualifications

Site Reliability Engineer

Richmond, VA · On-site

$56.50 - $75/hr

Work with log data from multiple platforms including Datadog, ElasticSearch, MySQL, and Splunk. * Collaborate with Technology Operations Center (TOC) and SRE teams to support operational visibility ...

Senior Data Pipeline Engineer (Elastic)

Arlington, VA · On-site +1

$121K - $165K/yr

On the DHS CDM Data Services Program, our engineers build the data pipelines and Elasticsearch platforms that give agency stakeholders a unified, single-pane-of-glass view of their cyber terrain.

Searching for a Software Engineer-Level II to support our Quantico, VA customer. Candidate will ... Experience using ElasticSearch is preferred. * Experience with AWS cloud fluency is a plus.

Senior Data Engineer

Arlington, VA · On-site

$131K - $237K/yr

Design and optimize Elasticsearch indices to efficiently manage large-scale hierarchical ... Collaborate with infrastructure and platform engineering teams to deploy, operate, and optimize ...

DevOps Engineer

Chantilly, VA · On-site

$54.50 - $74.75/hr

Bespoke Technologies, Inc. is seeking a Software Engineer focusing on DevOps to join their team in ... Required : • Helm • Terraform • Elasticsearch • PostgreSQL • AWS • Bash scripting • ...

The Software Engineer will be responsible for research, design, development, and testing of ... Microservice architectures Preferred : • Familiarity with Elasticsearch and/or Postgres • ...

Showing results 21-40

Elasticsearch Engineer information

See Virginia salary details

$43

$64

$87

How much do elasticsearch engineer jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for elasticsearch engineer in Virginia is $64.99, according to ZipRecruiter salary data. Most workers in this role earn between $53.54 and $76.91 per hour, depending on experience, location, and employer.

What is an Elasticsearch Engineer?

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 skills and qualifications are needed to be an Elasticsearch Engineer?

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 an Elasticsearch Engineer do?

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.

What are the most commonly searched types of Elasticsearch Engineer jobs in Virginia? The most popular types of Elasticsearch Engineer jobs in Virginia are:
What are popular job titles related to Elasticsearch Engineer jobs in Virginia? For Elasticsearch Engineer jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Elasticsearch Engineer jobs in Virginia look for? The top searched job categories for Elasticsearch Engineer jobs in Virginia are:
Infographic showing various Elasticsearch Engineer job openings in Virginia as of July 2026, with employment types broken down into 89% Full Time, 6% Part Time, and 5% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $135,181 per year, or $65 per hour.

Cloud DevOps Engineer with Security Clearance

BOAB Ventures

Chantilly, VA • On-site

$54.50 - $74.75/hr

Other

Medical, Life, Retirement

Re-posted 3 days ago


Job description

Job Description We are seeking a DevOps / Cloud Engineer to design, operate, and scale critical data infrastructure and platform services supporting enterprise applications and development teams. This role focuses on maintaining high-availability distributed systems, enabling secure and automated deployments, and supporting data platforms such as Elasticsearch and MongoDB at scale. The ideal candidate has strong infrastructure engineering experience, a background supporting development teams, and hands-on expertise with scripting, automation, and production-grade system operations. Duties & Responsibilities: • Manage, maintain, and optimize distributed data platforms including Elasticsearch clusters and MongoDB replica sets • Support scalability, performance tuning, upgrades, and reliability of production data systems • Design and implement infrastructure automation and deployment solutions using DevSecOps practices • Support software development teams by providing reliable CI/CD pipelines, environments, and operational tooling • Develop automation and operational scripts using Bash and Python • Monitor system health, performance, and availability across cloud and on-prem environments • Support system configuration, troubleshooting, and incident resolution for production services • Collaborate with engineering teams to ensure scalable and secure system design • Work with structured data formats (including JSON) across services and integrations • Contribute to system security, compliance, and architecture alignment with organizational standards Required Skills Requirements: • 7+ years of overall IT experience across system administration, software engineering, or DevSecOps engineering • 2+ years of experience managing Elasticsearch clusters, MongoDB replica sets, or similar distributed data systems • 3+ years of experience supporting software development teams and production environments • 2+ years of experience with scripting in Bash and Python • Strong experience working with distributed systems, cloud infrastructure, and automation tools • Experience operating in production environments with focus on reliability and performance Desired Skills Preferred Qualifications: • 15+ years of overall IT experience across systems, engineering, or DevSecOps roles • 5+ years of experience in a DevSecOps, Cloud Engineering, or Platform Engineering role • Hands-on experience managing, upgrading, and scaling Elasticsearch clusters • Experience with Elasticsearch index design, query optimization, and performance tuning • Experience migrating Elasticsearch data across different sharding strategies • Experience with MongoDB replication, sharding, and cluster architecture design • Strong experience working with JSON-based data structures and APIs • Experience with infrastructure automation tools such as CloudFormation, Jenkins, and Git-based workflows • Familiarity with AI-based or ML-enabled infrastructure solutions • Experience supporting Authorization & Accreditation (A&A) processes or compliance environments • Strong understanding of distributed system design, scalability, and cloud architecture Additional Details What we offer: • Flexible time off • Full medical coverage • 401(k) with company match • Referral bonuses • Performance bonuses • Life insurance and disability coverage • Tuition and training reimbursement