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Elasticsearch Engineer Jobs in Nevada (NOW HIRING)

Volto USA

ELK Engineer at Las Vegas, NV

Las Vegas, NV · On-site

ELK Developer designs, implements, and manages the Elasticsearch, Logstash, and Kibana (ELK) stack to build data pipelines for log analysis, data ingestion, and real-time visualization dashboards.

Targeted Talent

Lead Software Developer - PHP

Reno, NV · On-site +1

Knowledge of Symphony / Docker / Memcache / Redis / Elasticsearch * Can breathe GIT, strong embracing of good programming principles * Hands on experience towards the different layers of caching ...

Stem Xpert

Cesium Scala Developer

Manhattan, NV · On-site

The company is primarily focused on information technology, engineering, healthcare, financial ... ElasticSearch is a plus Experience with enhancing and maintaining mission-critical software in a ...

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Elasticsearch Engineer information

See Nevada salary details

$47

$70

$95

How much do elasticsearch engineer jobs pay per hour?

As of Aug 13, 2026, the average hourly pay for elasticsearch engineer in Nevada is $70.66, according to ZipRecruiter salary data. Most workers in this role earn between $58.20 and $83.62 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 Nevada?

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For Elasticsearch Engineer jobs in Nevada, the most frequently searched job titles are:

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Elasticsearch Engineer jobs near you
Infographic showing various Elasticsearch Engineer job openings in Nevada as of August 2026, with employment types broken down into 93% Full Time, 2% Part Time, and 5% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $146,965 per year, or $70.7 per hour.

ELK Engineer at Las Vegas, NV

Volto USA

Las Vegas, NV • On-site

Contractor

Re-posted 29 days ago

Job description

Role: - ELK Engineer

Location: ONSITE- Las Vegas, NV day one NO EXCEPTIONS

Duration: 6 months

Descriptions:

ELK Developer experience: ELK Developer designs, implements, and manages the Elasticsearch, Logstash, and Kibana (ELK) stack to build data pipelines for log analysis, data ingestion, and real-time visualization dashboards. Key responsibilities include configuring Logstash for data processing, optimizing Elasticsearch for data storage and retrieval, developing Kibana dashboards for insights, and ensuring the system's performance, security, and high availability.

Essential Job Functions:

Design and Development - Create and maintain scalable ELK stack solutions for log ingestion, processing, and analysis.

Log Management - Configure and manage Logstash to parse and enrich log data from various sources.

Data Ingestion - Work with components like Filebeat, Metricbeat, and Winlogbeat for data collection.

Kibana Dashboards - Build and manage interactive Kibana dashboards for real-time monitoring and analytics.

Performance Tuning - Monitor and optimize the performance, scalability, and resilience of the ELK stack.

Troubleshooting - Resolve complex issues related to data indexing, querying, and visualization within the ELK environment.

Data Integrity & Security - Ensure data integrity and implement security measures for the ELK infrastructure.

Infrastructure as Code - Deploy and manage Elastic clusters using tools like Ansible.

Integration - Integrate the ELK stack with other systems and data sources through APIs and web services.

Documentation - Maintain detailed documentation for configurations, deployments, and operations.

Position Requirements:

Bachelor’s degree in technology, engineering, or related field.

6-8 years of ELK Developer experience: designing, implementing, and managing the Elasticsearch, Logstash, and Kibana (ELK) stack to build data pipelines for log analysis, data ingestion, and real-time visualization dashboards ELK Stack Proficiency: Strong understanding of Elasticsearch, Logstash, and Kibana.

Programming Languages: Experience with languages like Go or Java for developing custom plugins or integrations.

Data Management: Experience with data pipelines, data ingestion, and index lifecycle management.

Monitoring & Visualization: Knowledge of monitoring tools and techniques, including developing advanced Kibana dashboards.

Scripting: Proficiency in shell scripting and Unix/Linux administration.

Good understanding of DevOps processes and CI/CD tools.

Ability to work through ambiguous and open-ended business requirements and priorities and translate the same into a clear roadmap and definition of success.

Excellent communication, problem-solving, and project management skills Ability to collaborate effectively and follow up to ensure achievement of deadlines, outcomes, and results.

Demonstrate company core values of excellence, ownership, collaboration, and integrity.

Strong communication and interpersonal skills in a global organization Strong collaborative approach to problem solving.

SKILLS: Digital : DevOps Continuous Integration and Continuous Delivery (CI/CD), Digital : ELK Stack, Digital : Elastic Search