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Elastic Jobs (NOW HIRING)

ECS

Sr. Elastic Engineer

Scott Air Force Base, IL · On-site

$100K - $138K/yr

ECS is seeking a Sr. Elastic Engineer to work in our Scott AFB, IL office. Are you passionate about building and scaling Elastic environments and eager to make an immediate technical impact? Join ECS ...

ECS

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 ...

ECS

Sr. Elastic Engineer

Hampton, VA · On-site

$180K - $210K/yr

Everforth ECS is seeking a Sr. Elastic Engineer to join our team in Hampton, VA . This position is contingent upon additional funding. Are you passionate about building and scaling Elastic ...

Freddie Mac

Senior Elastic Engineer

Mclean, VA · On-site

$122K - $184K/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

Senior Solutions Architect - SLED

New York, NY · On-site

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 ...

Freddie Mac

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 ...

TriOptus LLC

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

ECS

Senior Elastic Developer

Arlington, VA · On-site

Everforth ECS is seeking a Senior Elastic Developer to work in their Arlington, VA office. This role is central to ensuring the enterprise Elastic solution remains secure, highly available, and ...

Elastic

Federal Civilian Program Manager

Arlington, VA

$106K - $169K/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 ...

Booz Allen Hamilton

Elastic Engineer

Honolulu, HI · On-site

$86K - $198K/yr

Elastic Engineer The Opportunity: Work with clients and peers to build a high performing system using Elastic to aggregate logs from many systems into a single common schema.Use Elastic Common Schema ...

ECS

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 ...

asrcfh

Senior Elastic Architect/Engineer

Quantico, VA · Hybrid

ASRC Federal is seeking a highly skilled and experienced Elastic Architect/Engineer to join our dynamic team. The successful candidate will be responsible for the design, implementation, and ...

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How much do elastic jobs pay per hour?

As of Jul 8, 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 July 2026, with employment types broken down into 67% Full Time, and 33% Part Time. Highlights an 100% In-person job distribution, with an average salary of $115,000 per year, or $55.3 per hour.
Sr. Elastic Engineer

Sr. Elastic Engineer

ECS

Scott Air Force Base, IL • On-site

$100K - $138K/yr

Full-time

Posted 20 days ago

Job description

ECS is seeking a Sr. Elastic Engineer to work in our Scott AFB, IL office.
Are you passionate about building and scaling Elastic environments and eager to make an immediate technical impact? Join ECS, a leading provider of cloud, AI, data, and enterprise transformation solutions. In this role, you will implement, optimize, and maintain Elastic Stack environments at scale while contributing to architecture, automation, and integrations that improve reliability, performance, and operational efficiency.
We are seeking a Sr. Elastic Engineer to join our Professional team. The ideal candidate has hands-on experience with Elastic Stack and enjoys designing, coding, and deploying complex systems. You will collaborate with engineering, DevOps, cloud, and client teams to deliver resilient, high-performance Elastic solutions while maintaining visibility into system health and operational workflows.
Key Responsibilities:
  • Design, deploy, and maintain Elastic Stack environments, including Elasticsearch, Kibana, Logstash, Beats, and Fleet.
  • Build and optimize ingestion pipelines, index strategies, search queries, dashboards, and automation workflows.
  • Write scripts, automation, and integrations (Python, PowerShell, Bash, etc.) to streamline operations, data processing, and monitoring.
  • Deploy Elastic across platforms, including on-premises, public cloud (AWS, Azure, GCP), GovCloud, and containerized environments (Kubernetes, Docker, OpenShift).
  • Leverage automation and orchestration tools such as Terraform, Ansible, CI/CD pipelines, and Docker to manage deployments and operational tasks.
  • Integrate Elastic with enterprise tools such as SIEMs, Splunk, CrowdStrike, and other telemetry sources.
  • Monitor system health, troubleshoot performance issues, and optimize for reliability and scalability.
  • Lead design reviews, provide guidance on Elastic best practices, and support knowledge sharing across teams.
  • Maintain documentation for architectures, deployment patterns, runbooks, and operational best practices.
  • Stay current with Elastic features, certifications, and emerging platform capabilities.

  • Deep, hands-on expertise with Elastic Stack (Elasticsearch, Kibana, Logstash, Beats, Fleet).
  • Strong scripting and automation skills (Python, PowerShell, Bash, etc.).
  • Solid understanding of observability, logging, metrics, and distributed systems.
  • Experience designing, deploying, and optimizing production-scale Elastic environments.
  • Strong Linux/Unix, networking, and cloud platform knowledge (AWS, Azure, GCP).
  • Ability to mentor, guide, and influence engineering teams on Elastic best practices.
  • Outstanding verbal and written communication skills.
  • Willingness and ability to support domestic or international on-site engagements.
  • U.S. Passport required.
  • Must have a Secret Clearance, at minimum.

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