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Senior Elasticsearch Engineer Jobs (NOW HIRING)

aqua IT

Sr Elasticsearch Engineer

Chantilly, VA

$107K - $146.90K/yr

... 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 ...

New York Life

Senior Associate - Elasticsearch Engineer

$124K - $177K/yr

The Elasticsearch Engineer will work on a team supporting the day-to-day operation, performance, and reliability of the enterprise Elasticsearch platform that serves as the core of our security data ...

Trinity ES LLC

Elasticsearch Mid Engineer

Chantilly, VA · On-site

Help deploy, configure, test, troubleshoot, maintain, and upgrade Elastic clusters and environments under the supervision of senior engineers. * Optimization: Contribute to optimizing Elasticsearch ...

Trinity ES LLC

Elasticsearch Mid Engineer

Chantilly, VA · On-site

Help deploy, configure, test, troubleshoot, maintain, and upgrade Elastic clusters and environments under the supervision of senior engineers. * Optimization: Contribute to optimizing Elasticsearch ...

Fantom Corporation

Elastic Engineer

Chantilly, VA

$117.20K - $160.70K/yr

We are seeking an Elasticsearch Engineer to design, deploy, and maintain enterprise log analytics and monitoring solutions using the Elastic Stack. This role supports a critical Identity, Credential ...

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Senior Elasticsearch Engineer information

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$59.5K

$126.6K

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How much do senior elasticsearch engineer jobs pay per year?

As of May 29, 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 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.

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 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 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.

More about Senior Elasticsearch Engineer jobs
What cities are hiring for Senior Elasticsearch Engineer jobs? Cities with the most Senior Elasticsearch Engineer job openings:
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Senior Elasticsearch Engineer jobs near you
Infographic showing various Senior Elasticsearch Engineer job openings in the United States as of May 2026, with employment types broken down into 79% Full Time, 5% Temporary, and 16% Contract. Highlights an 84% In-person, 5% Hybrid, and 11% Remote job distribution, with an average salary of $126,557 per year, or $60.8 per hour.
Senior ElasticSearch Engineer

Senior ElasticSearch Engineer

Avani Technology Solutions, Inc.

Thousand Oaks, CA • On-site

$109.80K - $150.80K/yr

Contractor

Posted 27 days ago

Job description

Job title ELASTIC SEARCH, AWS, CI/CD, DEVOPS, JENKINS, JAVA, CLOUD FORMATION, AWS EMR, REDSHIFT, MYSQL, POSTGR 2.Job summary Elastic Search, AWS, CI/CD, DevOps, Jenkins, Java, Cloud Formation, Aws EMR, Redshift, MySQL, PostgreSQL, APM server, Amazon RDS, Azure 3.Experience 8to12yrs 4.Required Skills Technical Skills- ,Elastic Search,AWS - IAM,DevOps Domain Skill • Design and implement highly scalable ElasticSearch solution. • Experience in using AWS services for building ElasticSearch solutions. • Experience in architecting data structures using Elastic Search and ElastiCache • Build reports using APIs that leverage ElasticSearch and ElastiCache. • Good experience in query languages and writing complex queries with joins that deals with a large amount of data • Experience in end to end Low-level design, development, administration, and delivery of ElasticSearch based reporting solutions • Work with multiple stakeholders to analyze requirements, clarify design dependencies, create test plans, support functional and non-functional activities
Hours : 8:00am to 5:00pm
Education :
Additional Job Details : Expert level on ElasticSearch Required Can be fully remote

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