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Senior Elasticsearch Engineer Jobs (NOW HIRING)

ECS

Sr. Elastic Engineer

Reston, VA · On-site

$170K - $210K/yr

ECS is seeking a Sr. Elastic Engineer to work in our Reston, VA office. Please Note: This position ... Design, deploy, and maintain Elastic Stack environments, including Elasticsearch, Kibana, Logstash ...

ECS

Sr. Elastic Engineer

Colorado Springs, CO · On-site

$170K - $225K/yr

Everforth ECS is seeking a Sr. Elastic Engineer to join our team in Colorado Springs, CO . This ... Design, deploy, and maintain Elastic Stack environments, including Elasticsearch, Kibana, Logstash ...

ECS

Sr. Elastic Engineer

Springfield, VA · On-site

$205K - $240K/yr

ECS is seeking a Sr. Elastic Engineer to work in our Springfield, VA office. Please Note: This ... Design, deploy, and maintain Elastic Stack environments, including Elasticsearch, Kibana, Logstash ...

ECS

Sr. Elastic Engineer

Fort George G Meade, MD · On-site

$170K - $205K/yr

ECS is seeking a Sr. Elastic Engineer to work in our Ft. Meade, MD office. Please Note: This ... Design, deploy, and maintain Elastic Stack environments, including Elasticsearch, Kibana, Logstash ...

ECS

Sr. Elastic Engineer

Norfolk, VA · On-site

$180K - $205K/yr

Everforth ECS is seeking a Sr. Elastic Engineer to join our team in Norfolk, VA . This position is ... Design, deploy, and maintain Elastic Stack environments, including Elasticsearch, Kibana, Logstash ...

ECS

Sr. Elastic Engineer

Colorado Springs, CO · On-site

$170K - $230K/yr

ECS is seeking a Sr. Elastic Engineer to work in our Colorado Springs, CO office. Please Note: This ... Design, deploy, and maintain Elastic Stack environments, including Elasticsearch, Kibana, Logstash ...

ECS

Sr. Elastic Engineer

Fort George G Meade, MD · On-site

$180K - $205K/yr

ECS is seeking a Sr. Elastic Engineer to work in our Ft. Meade, MD OR Quantico, VA office. Please ... Design, deploy, and maintain Elastic Stack environments, including Elasticsearch, Kibana, Logstash ...

ECS

Sr. Elastic Engineer

Hampton, VA · On-site

$175K - $210K/yr

Everforth ECS is seeking a Sr. Elastic Engineer to join our team in Hampton, VA This position is ... Design, deploy, and maintain Elastic Stack environments, including Elasticsearch, Kibana, Logstash ...

5ironCyber

Senior Security Engineer - Elastic

Franklin, TN · On-site

$120K - $150K/yr

In support of that mission, the Senior Security Engineer - Elastic will perform the following ... Design and optimize Elasticsearch clusters for scalability, performance, and retention requirements

Infodyne Solutions

Sr Java Developer

Chicago, IL · On-site

$59 - $75.25/hr

Position: Sr Java Developer Location: Chicago, IL (Hybrid - 2 3 days/week) Type: Contract - (W2 ... CloudFormation templates, ECS clusters, Lambda, Fargate, ElasticSearch, S3, IAM roles/policies.

Staffingine LLC

Senior Software Engineer

Bellevue, WA · On-site

$138K - $182K/yr

Senior Software Engineer Job Location: Bellevue WA Job Type: Contract * The Content Delivery ... Must Have Skills Requirements Elasticsearch Experience Optimizing indexing pipeline and query ...

SpyCloud

Senior Data Engineer

Austin, TX · On-site

$144K - $187K/yr

As a Senior Data Engineer at SpyCloud, you will lead the architectural transformation of our data ... Experience building and managing large Elasticsearch/Opensearch data stores * Hands on experience ...

DevSelect

Senior Software Engineer(Backend/GoLang)

$125K - $165K/yr

Senior Software Engineer(Backend/GoLang) Location: Remote Openings: 2 Type: Contract Client is ... Product Catalog (DynamoDB) and Search (ElasticSearch) * Billing, invoicing, and fulfillment * Multi ...

Leidos

Senior Data Engineer

Arlington, VA · On-site

$131K - $237K/yr

Leidos is seeking a mission-driven Senior Data Engineer to join our high-impact team supporting the ... Design and optimize Elasticsearch indices to efficiently manage large-scale hierarchical ...

Leidos

Senior Data Engineer

Bethesda, MD · On-site

$131K - $237K/yr

Leidos is seeking a mission-driven Senior Data Engineer to join our high-impact team supporting the ... Design and optimize Elasticsearch indices to efficiently manage large-scale hierarchical ...

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Senior Elasticsearch Engineer information

See salary details

$59.5K

$126.6K

$183.5K

How much do senior elasticsearch engineer jobs pay per year?

As of Aug 16, 2026, the average yearly pay for senior elasticsearch engineer in the United States is $126,557.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,500.00 and $143,500.00 per year, depending on experience, location, and employer.

What are some common challenges faced by senior Elasticsearch engineers when scaling clusters for high-volume data environments?

Senior Elasticsearch Engineers often encounter challenges related to cluster performance, data sharding, and resource allocation as data volumes grow. Ensuring optimal index design, managing node failures, and maintaining cluster stability during heavy query loads are typical hurdles. Collaboration with DevOps and application development teams is crucial to align scaling strategies with business requirements and to implement best practices for monitoring and alerting. Proactively tuning configurations and staying updated with the latest Elasticsearch features can help mitigate these challenges.

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

AspectSenior Elasticsearch EngineerElasticsearch Developer
Required CredentialsExperience with Elasticsearch, scripting, and system architecture; often certifications like Elastic Certified EngineerProficiency in Elasticsearch, coding skills, and familiarity with APIs; certifications are common but not mandatory
Work EnvironmentDesigning, deploying, and maintaining Elasticsearch clusters in enterprise environmentsDeveloping and customizing Elasticsearch functionalities, often in software development teams
Employer & Industry UsageUsed by data-driven companies for search and analytics solutionsUsed by software companies and developers integrating Elasticsearch into applications
Search & Comparison IntentFocuses on infrastructure, optimization, and system managementFocuses on coding, feature development, and API integration

While both roles require expertise in Elasticsearch, the Senior Elasticsearch Engineer primarily manages infrastructure, clusters, and system performance, whereas the Elasticsearch Developer concentrates on coding, customizing features, and integrating Elasticsearch into applications.

What does a senior Elasticsearch engineer do?

A Senior Elasticsearch Engineer is responsible for designing, implementing, and maintaining Elasticsearch clusters to ensure high performance and reliability for search and analytics applications. They optimize data indexing, query performance, and cluster configuration, and troubleshoot complex issues. Additionally, they work closely with development and operations teams to integrate Elasticsearch into various systems, ensure data security, and scale the platform as needed.

What are the key skills and qualifications needed to thrive as a senior Elasticsearch engineer, and why are they important?

To thrive as a Senior Elasticsearch Engineer, you need deep expertise in Elasticsearch architecture, search algorithms, and distributed systems, often demonstrated by a degree in computer science or related experience. Familiarity with tools such as Kibana, Logstash, Elasticsearch APIs, and cloud platforms, as well as certifications like Elastic Certified Engineer, are highly valuable. Strong problem-solving skills, effective communication, and the ability to collaborate across teams set top professionals apart. These competencies ensure robust search solutions, system reliability, and successful integration of Elasticsearch into diverse business environments.
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What are the most commonly searched types of Elasticsearch Engineer jobs?

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Senior Elasticsearch Engineer jobs near you
Infographic showing various Senior Elasticsearch Engineer job openings in the United States as of August 2026, with employment types broken down into 92% Full Time, 2% Part Time, and 6% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $126,557 per year, or $60.8 per hour.

Sr. Elastic Engineer

ECS

Reston, VA • On-site

$170K - $210K/yr

Full-time

Re-posted 21 days ago

Job description

ECS is seeking a Sr. Elastic Engineer to work in our Reston, VA office. Please Note: This position is contingent upon additional funding.
Are you passionate about building and scaling Elastic environments and eager to make an immediate technical impact? Join ECS, a leading provider of cloud, AI, data, and enterprise transformation solutions. In this role, you will implement, optimize, and maintain Elastic Stack environments at scale while contributing to architecture, automation, and integrations that improve reliability, performance, and operational efficiency.
We are seeking a Sr. Elastic Engineer to join our Managed Security Services (MSSP) team. The ideal candidate has hands-on experience with Elastic Stack and enjoys designing, coding, and deploying complex systems. You will collaborate with engineering, DevOps, cloud, and client teams to deliver resilient, high-performance Elastic solutions while maintaining visibility into system health and operational workflows.
Key Responsibilities:
  • Design, deploy, and maintain Elastic Stack environments, including Elasticsearch, Kibana, Logstash, Beats, and Fleet.
  • Build and optimize ingestion pipelines, index strategies, search queries, dashboards, and automation workflows.
  • Write scripts, automation, and integrations (Python, PowerShell, Bash, etc.) to streamline operations, data processing, and monitoring.
  • Deploy Elastic across platforms, including on-premises, public cloud (AWS, Azure, GCP), GovCloud, and containerized environments (Kubernetes, Docker, OpenShift).
  • Leverage automation and orchestration tools such as Terraform, Ansible, CI/CD pipelines, and Docker to manage deployments and operational tasks.
  • Integrate Elastic with enterprise tools such as SIEMs, Splunk, CrowdStrike, and other telemetry sources.
  • Monitor system health, troubleshoot performance issues, and optimize for reliability and scalability.
  • Lead design reviews, provide guidance on Elastic best practices, and support knowledge sharing across teams.
  • Maintain documentation for architectures, deployment patterns, runbooks, and operational best practices.
  • Stay current with Elastic features, certifications, and emerging platform capabilities.

Salary Range: $170,000 - $210,000
General Description of Benefits
  • Deep, hands-on expertise with Elastic Stack (Elasticsearch, Kibana, Logstash, Beats, Fleet).
  • Strong scripting and automation skills (Python, PowerShell, Bash, etc.).
  • Solid understanding of observability, logging, metrics, and distributed systems.
  • Experience designing, deploying, and optimizing production-scale Elastic environments.
  • Strong Linux/Unix, networking, and cloud platform knowledge (AWS, Azure, GCP).
  • Ability to mentor, guide, and influence engineering teams on Elastic best practices.
  • Outstanding verbal and written communication skills.
  • Willingness and ability to support domestic or international on-site engagements.
  • U.S. Passport required.
  • Must have a TS/SCI Clearance, at minimum.
  • Must be eligible to obtain a U.S. Security Clearance.

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