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Elasticsearch Engineer Jobs in Arizona (NOW HIRING)

TEKsystems

Elasticsearch Devops Engineer

Phoenix, AZ · Hybrid

$50 - $65/hr

Description American Express is searching for an Elasticsearch Engineer to support their team in Phoenix. This team provides BI surrounding several DevOps metrics such as build and deploy or ...

TEKsystems

Elasticsearch Devops Engineer

Phoenix, AZ · Hybrid

$50 - $65/hr

Description Our client is searching for an Elasticsearch Site Reliability Engineer to support their team in Phoenix. This team provides BI surrounding several DevOps metrics such as build and deploy ...

ConnectedX, Inc.

DevOps Engineer - W2 Contract

Phoenix, AZ · On-site

$52.50 - $71.75/hr

Expert-level Elastic Stack experience (Elasticsearch, Logstash, Kibana, Grafana) * Strong Python development skills * Solid DevOps and platform engineering knowledge * Experience with Kafka and data ...

BC Forward

Observability Operations Engineer

Phoenix, AZ · On-site

$50 - $60/hr

Observability Operations Engineer Location: Phoenix, AZ (Hybrid) Duration: Temp - 12 months Pay ... The ideal candidate will have deep expertise in Dynatrace, Splunk, OpenSearch/Elasticsearch ...

ECS

USIEM Elastic Engineer

Sierra Vista, AZ · On-site

$110K - $150K/yr

Everforth ECS is seeking a USIEM Elastic Engineer to work in our Sierra Vista, AZ, Schofield ... Demonstrated experience with the full Elastic Stack - Elasticsearch, Logstash, Kibana, Beats ...

Meridian Technologies

Elastic Engineeer

Mesa, AZ · On-site

$65.35 - $87/hr

Elastic Engineer This role will support a DoD Cybersecurity program in a fast-paced, cutting-edge ... Experience integrating Elasticsearch with external systems (e.g., SOAR tools, Threat Intel ...

Meridian Technologies

Elastic Engineeer

Mesa, AZ · On-site

$65.35 - $87/hr

Elastic Engineer This role will support a DoD Cybersecurity program in a fast-paced, cutting-edge ... Experience integrating Elasticsearch with external systems (e.g., SOAR tools, Threat Intel ...

Inficare Technologies

DevOps Engineer

Phoenix, AZ · On-site

$52.50 - $71.75/hr

ELK (Elasticsearch, Logstash, Kibana), Grafana * Python programming * Linux command-line proficiency * DevOps pipeline tools: XLR, Jenkins, GitHub Actions * Strong SQL and data analysis skills

Inficare Technologies

AI Python Engineer

Phoenix, AZ · On-site

Senior AI Python Engineer Location: Phoenix, AZ (Hybrid - 3 days onsite) Job Type: Long-Term ... Flask, FastAPI, Hugging Face, Triton Inference Server * pgVector, Milvus, Prometheus, Elasticsearch ...

BloKchain Talent

Senior Systems Monitoring Engineer

Tempe, AZ · On-site

$101K - $139K/yr

Prometheus / Kubernetes / Grafana / Filebeat / ELK(Elasticsearch+Logstash +Kibana) / Zabbix. * Be good at one of the programming languages: Shell, Python,Java etc. * Experiences on open source ...

BloKchain Talent

Senior Systems Monitoring Engineer

Tempe, AZ · On-site

$101K - $139K/yr

Prometheus / Kubernetes / Grafana / Filebeat / ELK(Elasticsearch+Logstash +Kibana) / Zabbix. * Be good at one of the programming languages: Shell, Python,Java etc. * Experiences on open source ...

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Elasticsearch Engineer information

See Arizona 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 Arizona is $64.88, according to ZipRecruiter salary data. Most workers in this role earn between $53.44 and $76.78 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 popular job titles related to Elasticsearch Engineer jobs in Arizona? For Elasticsearch Engineer jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Elasticsearch Engineer jobs in Arizona look for? The top searched job categories for Elasticsearch Engineer jobs in Arizona are:
Elasticsearch Engineer jobs near you
Infographic showing various Elasticsearch Engineer job openings in Arizona as of July 2026, with employment types broken down into 93% Full Time, 2% Part Time, and 5% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution, with an average salary of $134,952 per year, or $64.9 per hour.

Elasticsearch Site Reliability Engineer

Learn Beyond Consulting LLC

Phoenix, AZ • On-site

$56.50 - $75.25/hr

Other

This job post has expired today. Applications are no longer accepted.

Job description

Job Description

We are seeking an experienced Elasticsearch Site Reliability Engineer (SRE) to join our client''s team in Phoenix, AZ. The ideal candidate will be responsible for maintaining and optimizing a platform that delivers business intelligence and reporting around DevOps metrics, including build, deployment, and operational performance. This platform enables engineering and executive technology stakeholders to gain visibility into deployment activities, improve software delivery, and drive operational excellence.

The ideal candidate should have strong experience with Elasticsearch, DevOps automation, and cloud-native technologies, along with a passion for improving platform reliability, scalability, and observability.

Key Responsibilities
  • Design, implement, and maintain Elasticsearch-based monitoring and analytics platforms.
  • Ensure high availability, scalability, and performance of Elasticsearch clusters.
  • Develop automation solutions using Python and DevOps best practices.
  • Build and maintain CI/CD pipelines using Jenkins and related DevOps tools.
  • Deploy and manage containerized applications using Docker and Kubernetes.
  • Configure and maintain Logstash pipelines for log ingestion and processing.
  • Create dashboards and visualizations using Kibana and Power BI.
  • Monitor system health, troubleshoot production issues, and perform root cause analysis.
  • Collaborate with DevOps, Infrastructure, and Development teams to improve deployment efficiency.
  • Optimize Linux-based environments and automate operational tasks.
  • Implement reliability, monitoring, alerting, and capacity planning strategies.
Required Qualifications
  • 3+ years of experience in Site Reliability Engineering, DevOps, or Platform Engineering.
  • Strong hands-on experience with Elasticsearch and Kibana.
  • Experience with Logstash for log collection and processing.
  • Proficiency in Python scripting and automation.
  • Experience with Docker and Kubernetes.
  • Hands-on experience with Jenkins and CI/CD pipeline development.
  • Strong understanding of Linux system administration.
  • Experience with DevOps tools, automation frameworks, and infrastructure monitoring.
  • Knowledge of Power BI or similar reporting tools is preferred.
  • Excellent troubleshooting, analytical, and problem-solving skills.
  • Strong communication and collaboration abilities.
Preferred Skills
  • Experience supporting enterprise-scale DevOps platforms.
  • Understanding of deployment metrics, build pipelines, and release management.
  • Familiarity with observability, monitoring, and logging best practices.
  • Experience working in Agile/Scrum environments.
Required Skills
  • Elasticsearch
  • Kibana
  • Logstash
  • Python
  • Kubernetes
  • Docker
  • Jenkins
  • Linux
  • DevOps
  • Automation
  • Power BI (Preferred)

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