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Full Time Kibana Jobs (NOW HIRING)

Elastic Search Engineer

Dahlonega, GA · On-site

$110K - $152K/yr

Competitive (Based on Experience) Contract Type : Full-Time, W-2 Employee Work Authorization : Must ... If you have 7+ years of experience with ELK Stack (ElasticSearch, Logstash, Kibana, and Beats ...

Backend Java Developer

Ashburn, VA · On-site

$51.75 - $67/hr

Ashburn, VA (Hybrid - 2 Days Onsite) Employment Type: Full-Time Position Overview We are seeking a ... Kibana * AWS S3 * Strong understanding of cloud-native architecture * Experience designing scalable ...

IL · On-site

$98K - $104K/yr

Must be able to commute to Scott AFB, IL for full-time onsite support. Qualifications Preferred Qualifications: * Experience with Elastic Stack (Elasticsearch, Logstash, Kibana) for data analysis and ...

Elastic SME

Honolulu, HI · On-site

$200K - $220K/yr

Deploy and configure Elastic Stack components, including Elasticsearch, Kibana, and machine ... The company offers the following benefits to permanent, full-time employees: * Paid Time Off (PTO)

This is a full time on-site position on a stable prime government contract. With offices in ... Creating and modifying Kibana visualizations * Instrumenting systems with Elastic Agent and Elastic ...

Max Salary Not Mentioned Employment Type Direct Jobs (Full Time) Domain Any Description GC can ... ElasticSearch, Kibana, and Web technologies Experience with relational databases like MySQL ...

ELK Solution Architect

Jersey City, NJ · On-site

$69 - $90.75/hr

Remote Duration: Full time / Direct Hire Required skills * 12+ Years of experience with Expertise with ELK stack : Elasticsearch, Logstash, Kibana * Should have good hands-on experience in end-to-end ...

Showing results 21-40

Full Time Kibana information

See salary details

$55

$61

$69

How much do full time kibana jobs pay per hour?

As of Aug 5, 2026, the average hourly pay for full time 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 is the difference between Full Time Kibana vs Full Time Elasticsearch?

AspectFull Time KibanaFull Time Elasticsearch
Primary RoleData visualization and dashboard creationData storage, search, and analytics engine
Required SkillsData visualization, UI/UX, basic query languageData indexing, querying, system architecture
CertificationsElastic Certified Kibana AnalystElastic Certified Engineer
Work EnvironmentData analysis teams, BI departmentsBackend data infrastructure teams

Full Time Kibana focuses on creating visual dashboards and analyzing data visually, while Full Time Elasticsearch involves managing data storage, indexing, and complex search queries. Both roles often work together within data-driven organizations but serve different functions in the data ecosystem.

More about Full Time Kibana jobs
What are the most commonly searched types of Kibana jobs? The most popular types of Kibana jobs are:
What job categories do people searching Full Time Kibana jobs look for? The top searched job categories for Full Time Kibana jobs are:
Infographic showing various Full Time Kibana job openings in the United States as of July 2026, with employment types broken down into 74% Full Time, 24% Part Time, and 2% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $128,900 per year, or $62 per hour.

Elastic Search Engineer

TriOptus LLC

Dahlonega, GA • On-site

$110K - $152K/yr

Full-time

Re-posted 4 days ago


Job description

Job Posting: Senior Elastic Stack Engineer (W-2)
Location: Alpharetta Georgia 30005 (Hybrid 3 days onsite
Rate: Competitive (Based on Experience)
Contract Type: Full-Time, W-2 Employee
Work Authorization: Must be eligible to work in the U.S. without sponsorship
We are seeking an experienced Senior Elastic Stack Engineer to join our growing team. If you have 7+ years of experience with ELK Stack (ElasticSearch, Logstash, Kibana, and Beats), along with strong expertise in automation, version control, and scaling data architectures, this is the role for you. Join us to work on exciting projects and help build, optimize, and scale ELK solutions in a dynamic, fast-paced environment.
Key Responsibilities:
  • Elastic Stack Management: Build, maintain, and optimize Elastic clusters with a focus on logging use cases and ensuring efficient data storage.
  • Index Lifecycle Management (ILM): Implement and manage ILM policies, snapshots, and searchable snapshots for optimized data management.
  • Scalable Architecture Design: Design and implement Hot-Warm-Cold architecture for scalable, cost-effective data management.
  • Consistency & Best Practices: Configure index templates to ensure consistency across all indices and adhere to best practices.
  • Cluster Sizing: Architect and size Elasticsearch clusters based on business needs and performance requirements.
  • Automation: Automate deployment and configuration management using Ansible and write shell scripts for routine tasks.
  • Version Control: Use GIT for version control and collaborative configuration management.
  • Version Upgrades & Patching: Plan and execute Elastic Stack version upgrades and patching, minimizing downtime.
  • Monitoring & Visualization: Configure Grafana dashboards for monitoring and visualization of Elasticsearch data.
  • Alerting Systems: Set up and manage alerting systems to monitor the health and performance of the cluster.
  • Data Ingestion & Log Forwarding: Integrate Logstash, Kafka, and Beats for data ingestion and log forwarding.
  • Troubleshooting: Diagnose, troubleshoot, and resolve issues with Elastic Stack components.
  • Cross-Functional Collaboration: Work closely with cross-functional teams to gather requirements and design Elastic Stack solutions tailored to specific use cases.

Must-Have Qualifications:
  • Experience: 7+ years of hands-on experience working with Elastic Stack (ElasticSearch, Logstash, Kibana, Beats).
  • Scripting: Strong knowledge of Unix Shell scripting. Bonus if you have experience with Ruby and Python.
  • Version Control: Solid understanding and experience with GIT.
  • Automation: Experience automating deployment and configuration management using Ansible.
  • System Design: Proficiency in architecting and sizing Elasticsearch clusters to meet performance and scalability requirements.
  • Monitoring: Experience with Grafana dashboards for monitoring and alerting.
  • Data Ingestion: Expertise in integrating Logstash, Kafka, and Beats for data ingestion and log forwarding.

Soft Skills:
  • Communication: Strong verbal and written communication skills.
  • Problem Solving: Excellent analytical and troubleshooting abilities.
  • Teamwork: Ability to collaborate effectively within a cross-functional team.