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ELK / ESS Engineer

Mclean, VA · On-site

Build and assemble interactive panels, charts, maps, and metrics using Kibana Lens to create comprehensive dashboards. * Data Analysis & Mapping: Design efficient time-series index mappings and data ...

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How much do kibana jobs pay per hour?

As of Jun 10, 2026, the average hourly pay for kibana in the United States is $61.97, according to ZipRecruiter salary data. Most workers in this role earn between $58.41 and $64.18 per hour, depending on experience, location, and employer.

What are the typical responsibilities of a professional working with Kibana in a business environment?

Professionals working with Kibana are usually responsible for developing and maintaining interactive dashboards, visualizations, and reports based on data from Elasticsearch and related sources. Their daily tasks often include collaborating closely with data engineers, IT teams, and business analysts to gather requirements and transform raw data into meaningful presentations. They monitor and troubleshoot data flow issues, optimize dashboard performance, and ensure that visualizations meet organizational goals. Additionally, they may train end-users and provide ongoing support to help teams make data-driven decisions.

What is a Kibana job?

A Kibana job typically involves working with Kibana, a data visualization tool used for analyzing and presenting data stored in Elasticsearch. Professionals in this role are responsible for creating dashboards, visualizations, and reports to help organizations gain insights from their data. They may also configure Kibana, manage user access, and integrate it with other tools in the Elastic Stack. Common job titles include Kibana Developer, Data Analyst, or Elastic Stack Engineer. Strong knowledge of Elasticsearch, JSON, and query languages is often required.

What are the key skills and qualifications needed to thrive in the Kibana position, and why are they important?

To excel in roles focused on Kibana, candidates should have strong skills in data visualization, analytics, and experience working with the Elastic Stack (ELK stack), often complemented by a background in computer science or information technology. Expertise in Kibana itself, as well as familiarity with Elasticsearch, log analysis, and dashboard creation, is typically required, sometimes encouraged by certifications in Elasticsearch or similar platforms. Analytical thinking, attention to detail, and effective communication are key soft skills that enhance performance in this position. These competencies ensure accurate, clear data insights and seamless collaboration with technical and business stakeholders, which are critical for delivering actionable business intelligence.

More about Kibana jobs
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Kibana jobs near you
Infographic showing various Kibana job openings in the United States as of June 2026, with employment types broken down into 91% Full Time, 1% Part Time, and 8% Contract. Highlights an 88% Physical, 5% Hybrid, and 7% Remote job distribution, with an average salary of $128,900 per year, or $62 per hour.

ELK Stack Engg-Admin, ElasticSearch, Logstash, Kibana, GIT, Shell 12+ Mts Con Alpharetta, GA

ZnA Inc

Alpharetta, GA • On-site

Contractor

Posted 12 days ago

Job description

ELK Stack Engg-Admin, ElasticSearch, Logstash, Kibana,  GIT, Shell 12+ Mts Con Alpharetta, GA

JPC - 3520

Level 4: (10+ Yrs of experience) 

Loc: Alpharetta, GA 

Dur: 12+ Months Contract ( Hybrid 3 days a week onsite) 


ELK Stack Engineer Cum Admin, ElasticSearch, Logstash, Kibana, beats, Ruby/Python, GIT, Shell 12+ Mths Cont Alpharetta, GA 

Description:

BUILD, Maintian and optimize the ElasticSearch, Eleastic Clusters from Scratch, upgrade from other version to ElasticSearch, 
ELK Administration, ELK Architecture, UNIX/Shell, GIT, Kafka, Configure Grafana dashboards - Great Comm Skills. 

Qualifications -

7+ years of experience with ELK Stack: ElasticSearch, Logstash, Kibana and beats. Good to have Ruby and/or Python, GIT and Unix Shell scripting knowledge.

Responsibilities include:

1. Build, maintain and optimize Elastic clusters focusing on logging use cases.
2. Implement and manage Index Lifecycle Management (ILM) policies, snapshots and searchable snapshots for efficient data storage.
3. Design and implement Hot-Warm- Cold architecture for scalable and cost-effective data management.
4. Configure index templates to ensure consistency and best practices across all indices.
5. Architect and size Elasticsearch clusters based on business requirements and performance needs.
6. Automate deployment and configuration management using Ansible.
7. Write shell scripts to automate routine task and optimize operations.
8. Utilize GIT for version control and collaborative configuration management.
9. Plan and execute Elastic Stack version upgrades and patching with minimal downtime.
10. Configure Grafana dashboards for monitoring and visualization of Elasticsearch data.
11. Set up and manage alerting systems to monitor cluster health and performance.
12. Integrate Logstash, Kafka and Beats for data ingestion and log forwarding.
13. Troubleshoot, diagnose and resolve issues related to Elasticsearch, Logstash, Kibana and related components.
14. Collaborate with cross functional teams to gather requirements and design elastic stack solution tailored to specific use cases.

Soft Skills -
1. Good verbal and written communication skills.
2. Good analytical and problem-solving skills.
3. Good team player.