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Elasticsearch Developer Jobs (NOW HIRING)

United Airlines

Java with Elasticsearch

Atlanta, GA

$55 - $70.25/hr

Implement and manage Elasticsearch clusters, including indexing, querying, and data management ... CI/CD pipelines and DevOps. The base compensation range for this role in the posted location is ...

Elasticsearch B.V.

NY

$112K - $147K/yr

Elasticsearch B.V. in New York is seeking a Product Marketing Lead to focus on their Elasticsearch ... A cross-functional collaboration with Product Management and Engineering teams is essential to ...

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Elasticsearch Developer information

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How much do elasticsearch developer jobs pay per hour?

As of Jul 11, 2026, the average hourly pay for elasticsearch developer in the United States is $45.29, according to ZipRecruiter salary data. Most workers in this role earn between $23.56 and $54.81 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 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.
More about Elasticsearch Developer jobs
What states have the most Elasticsearch Developer jobs? States with the most job openings for Elasticsearch Developer jobs include:
What job categories do people searching Elasticsearch Developer jobs look for? The top searched job categories for Elasticsearch Developer jobs are:
Elasticsearch Developer jobs near you
Infographic showing various Elasticsearch Developer job openings in the United States as of July 2026, with employment types broken down into 85% Full Time, 3% Part Time, 1% Temporary, and 11% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution, with an average salary of $94,200 per year, or $45.3 per hour.
Senior Elastic Engineer with Security Clearance

Senior Elastic Engineer with Security Clearance

Zachary Piper Solutions, LLC

Colorado Springs, CO • On-site

$140K - $200K/yr

Contractor

Medical, Dental, Vision, Retirement, PTO

Re-posted 26 days ago

Job description

Zachary Piper Solutions is seeking an Elasticsearch & Observability Engineer to support a high‑visibility federal cybersecurity program within a leading Managed Security Service Provider (MSSP) in an on‑site environment in Colorado Springs, CO. This role focuses on designing, implementing, and managing Elasticsearch environments while building robust observability and monitoring capabilities across mission‑critical systems. The ideal candidate brings deep expertise in search technologies, logging pipelines, metrics, tracing, and real‑time monitoring within secure, high‑performance environments. The position is contingent upon additional funding. Responsibilities of the Elasticsearch & Observability Engineer include:
Design, deploy, and manage Elasticsearch clusters across distributed environments
Optimize search performance, indexing strategies, mappings, and query execution
Ensure data integrity, availability, and security within Elastic deployments
Monitor cluster health and performance, proactively identifying and resolving issues
Develop and maintain observability frameworks using Kibana, Grafana, or similar tools
Implement logging, metrics, and tracing systems for real‑time application monitoring
Analyze and visualize complex datasets to identify trends, anomalies, and performance gaps
Collaborate with cross‑functional teams to define search and observability requirements
Provide technical guidance, documentation, and mentorship to team members
Stay current with emerging technologies in search, observability, and monitoring
Document architectures, procedures, and operational processes
Prepare reports on system performance, incidents, and resolutions Qualifications for the Elasticsearch & Observability Engineer include:
Active TS/SCI clearance
Possession of a U.S. Passport
Outstanding written and verbal communication skills
Ability to support short, planned domestic or international travel
At least 3 years of experience demonstrating proficiency in:
Elasticsearch engineering and observability tooling
SIEM concepts and platforms (Elastic, Splunk, QRadar, LogRhythm)
Designing, implementing, and optimizing complex SIEM or logging solutions
Linux/Unix systems, networking fundamentals, and cloud services
Scripting languages such as Python, PowerShell, or Bash
Cybersecurity fundamentals, threat landscapes, and attack methodologies Preferred Qualifications:
Experience with other search technologies (Solr, Lucene)
Elastic certifications (Elastic Certified Engineer, Elastic Observability Engineer)
Experience in DevOps or Site Reliability Engineering (SRE) roles
Background supporting large‑scale, distributed, or mission‑critical environments Position Details:
Location: Colorado Springs, CO
Schedule: On‑site, 4–5 days per week
Short‑duration domestic or international travel as needed
Collaboration with engineering, security, operations, and MSSP teams Compensation for the Elasticsearch & Observability Engineer includes:
Salary Range: $140,000 – $200,000
Benefits: Medical, Dental, Vision, 401K, PTO, Sick Leave (as required), Holidays

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