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Elastic Jobs (NOW HIRING)

Conviso Inc is hiring Elastic Stack Developer to join our team. This is Remote position and comes with benefits, 401K & some accrued PTO. Project Role: Elastic Stack Develope rRemote Jo bActive ...

Sr. Elastic Engineer

Colorado Springs, CO · On-site

$170K - $225K/yr

Everforth ECS is seeking a Sr. Elastic Engineer to join our team in Colorado Springs, CO . This position is continent upon contract award. Are you passionate about building and scaling Elastic ...

Account Executive - Pursuit

Austin, TX · On-site

$157K - $248K/yr

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale - unleashing the potential of businesses and people. The Elastic Search AI ...

Senior Elastic Engineer

Mclean, VA · On-site

$105K - $145K/yr

Elastic is used for several specific cases with varying degrees of criticality. They will bring both technical expertise and coaching to junior members on the team. Our Impact: The Elastic team works ...

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale - unleashing the potential of businesses and people. The Elastic Search AI ...

Elastic Search Engineer

Dahlonega, GA · On-site

$110K - $152K/yr

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

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale - unleashing the potential of businesses and people. The Elastic Search AI ...

Elastic Engineer

Chantilly, VA

$117K - $160K/yr

Integrate Elastic Stack solutions with existing ICAM systems and enterprise infrastructure * Troubleshoot and resolve issues related to data ingestion, infrastructure, and system performance

Elastic Engineer

Chantilly, VA · On-site

$118K - $162K/yr

Responsibilities : • Design, develop, and deploy log analytics and monitoring solutions using the Elastic Stack (Elasticsearch, Logstash, Beats, Kibana) • Deploy, configure, test, and maintain ...

USIEM Elastic Engineer

Sierra Vista, AZ · On-site

$110K - $150K/yr

Everforth ECS is hiring for USIEM Elastic Engineer in multiple locations with a preference for candidates in one of the following locations: Schofield Barracks (USAG), HI; Augusta, GA; or, Sierra ...

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Elastic information

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How much do elastic jobs pay per hour?

As of Jun 15, 2026, the average hourly pay for elastic in the United States is $55.29, according to ZipRecruiter salary data. Most workers in this role earn between $50.48 and $60.10 per hour, depending on experience, location, and employer.

What are Elastic engineers?

Elastic engineers are professionals who specialize in working with Elastic Stack, an open-source suite of products including Elasticsearch, Logstash, Kibana, and Beats. They are responsible for designing, implementing, and maintaining search and data analytics solutions using these tools. Elastic engineers help organizations efficiently store, search, and visualize large volumes of data, enabling better decision-making and real-time insights. Their work is crucial in industries that rely on big data, such as e-commerce, finance, and cybersecurity.

What are the key skills and qualifications needed to thrive as an Elasticsearch Engineer, and why are they important?

To thrive as an Elasticsearch Engineer, you need a solid background in software engineering, data indexing, search technologies, and typically a degree in computer science or a related field. Proficiency with Elasticsearch, Kibana, Logstash, and experience with cloud platforms or Elastic Stack certifications are common technical requirements. Analytical thinking, problem-solving, and effective communication are crucial soft skills for collaborating with teams and addressing complex data challenges. These skills ensure efficient search solutions, system scalability, and reliable data insights in enterprise environments.

What are some common challenges faced by professionals working in Elastic engineering roles, and how can they be addressed?

Professionals working in Elastic engineering roles often encounter challenges such as managing large-scale data indexing, ensuring optimal cluster performance, and maintaining data security. Handling data growth and scaling clusters efficiently requires a deep understanding of Elastic's architecture and best practices. Collaboration with DevOps and security teams is essential to maintain uptime and secure data access. Proactive monitoring, continuous learning, and leveraging Elastic's extensive documentation and community support can help address these challenges effectively.

What is the difference between Elastic vs Data Engineer?

AspectElasticData Engineer
CredentialsElastic certifications, Elasticsearch trainingData engineering certifications, cloud platform credentials
Work EnvironmentFocus on Elasticsearch, search solutions, and data indexingData pipelines, database management, cloud platforms
Industry UsageIT, search technology, analyticsData management, big data, analytics
Search IntentUnderstanding Elasticsearch and Elastic StackUnderstanding data pipeline development and management

Elastic professionals specialize in Elasticsearch and search solutions, focusing on search technology and data indexing. Data Engineers build and maintain data pipelines and manage large datasets. While both roles work with data, Elastic roles are more centered on search and analytics platforms, whereas Data Engineers focus on data infrastructure and processing.

What cities are hiring for Elastic jobs? Cities with the most Elastic job openings:
Infographic showing various Elastic job openings in the United States as of June 2026, with employment types broken down into 91% Full Time, 2% Part Time, and 7% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $115,000 per year, or $55.3 per hour.

Elastic Stack Engineer/ Elastic Stack Data Engineer

Amicis Global

Alpharetta, GA • On-site

$80 - $90/hr

Contractor

Posted 17 days ago


Job description

Title: Elastic Stack Engineer/ Elastic Stack Data Engineer
Location: Alpharetta, GA 30005
Duration: 12 Months
Pay: $80-$90/hr on W2 
 
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,s 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 tasks 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 designan elastic stack solution tailored to specific use cases.