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How much do elasticsearch jobs pay per hour?

As of Jul 7, 2026, the average hourly pay for elasticsearch in the United States is $67.93, according to ZipRecruiter salary data. Most workers in this role earn between $56.49 and $74.28 per hour, depending on experience, location, and employer.

What are the typical daily responsibilities of an Elasticsearch Engineer?

As an Elasticsearch Engineer, your day-to-day tasks often include designing, deploying, and maintaining Elasticsearch clusters, optimizing data indexing and search queries, monitoring system health, and troubleshooting performance issues. You'll frequently collaborate with software developers, data engineers, and DevOps teams to integrate Elasticsearch with various applications and streamline data flows. Proactively implementing security best practices and ensuring data integrity are also part of the role. Being hands-on with monitoring tools and regularly participating in code reviews or technical discussions are common aspects of the work environment.

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

To thrive as an Elasticsearch Engineer, you need strong expertise in distributed systems, search algorithms, and a deep understanding of Elasticsearch architecture, typically supported by a background in computer science or related fields. Familiarity with tools such as Kibana, Logstash, Beats, and proficiency in scripting languages like Python or Java are crucial, and Elasticsearch certification is highly valued. Analytical thinking, problem-solving abilities, and strong communication skills set outstanding professionals apart in this field. These competencies ensure effective management, optimization, and troubleshooting of search infrastructure critical to business operations.

What does an Elasticsearch job entail?

An Elasticsearch job typically involves designing, implementing, and managing search and analytics solutions using Elasticsearch. Responsibilities may include indexing large datasets, optimizing search queries, maintaining cluster performance, and ensuring data availability. Professionals in this role often work with technologies like Kibana, Logstash, and Beats to analyze and visualize data. Strong knowledge of distributed systems, query performance tuning, and security best practices is essential.

More about Elasticsearch jobs
What cities are hiring for Elasticsearch jobs? Cities with the most Elasticsearch job openings:
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What states have the most Elasticsearch jobs? States with the most job openings for Elasticsearch jobs include:
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Elasticsearch jobs near you
Infographic showing various Elasticsearch job openings in the United States as of July 2026, with employment types broken down into 50% Full Time, and 50% Contract. Highlights an 100% In-person job distribution, with an average salary of $141,299 per year, or $67.9 per hour.
Elasticsearch Engineer (Secret Clearance)

Elasticsearch Engineer (Secret Clearance)

Shorepoint Inc.

Virginia Beach, VA • On-site

$96K - $126K/yr

Full-time

Medical, Retirement, PTO

Re-posted 18 days ago

Job description

Who we are:
ShorePoint is a fast-growing, industry recognized and award-winning cybersecurity services firm with a focus on high-profile, high-threat, private and public-sector customers who demand experience and proven security models to protect their data. ShorePoint subscribes to a "work hard, play hard" mentality and celebrates individual and company successes. We are passionate about our mission and going above and beyond to deliver for our customers. We are equally passionate about an environment that supports creativity, accountability, diversity, inclusion and a focus on giving back to our community.
The Perks:
As recognized members of the Cyber Elite, we work together in partnership to defend our nation's critical infrastructure while building meaningful and exciting career development opportunities in a culture tailored to the individuals technical and professional growth. We are committed to the belief that our team members do their best work when they are happy and well cared for. In support of this philosophy, we offer a comprehensive benefits package, including major carriers for health care providers. Highlighted benefits offered: 144 hours of PTO, 11 holidays, 85% of insurance premium covered, 401k, continued education, certifications maintenance and reimbursement and more.
Who we're looking for:
We are seeking an Elasticsearch Engineer (Secret Clearance) with expertise in designing, deploying and optimizing Elastic Stack solutions in federal environments. This role supports the delivery of Elastic-based solutions across cloud, on-prem and hybrid infrastructures to enable security operations and data-driven outcomes. The Elasticsearch Engineer will lead technical implementations, support migrations and contribute to scalable architectures while engaging directly with client stakeholders. This is a unique opportunity to shape the growth, development and culture of an exciting and fast-growing company in the cybersecurity market.
What you'll be doing:
  • Architect, deploy and tune Elastic Stack solutions (Elastic Cloud Enterprise (ECE), Elastic Cloud on Kubernetes (ECK), Elastic Cloud) across cloud, on-prem and hybrid environments.
  • Execute legacy security platform migrations, including detection translation (e.g., Search Processing Language (SPL) → (ES|QL) Elasticsearch Query Language) and analyst workflow modernization.
  • Design and implement data ingestion pipelines using Elastic Agent, Fleet, Logstash and Beats.
  • Harden deployments for federal compliance, including Transport Layer Security (TLS), Personal Identity Verification/Common Access Card (PIV/CAC), Single Sign-On (SSO) / Security Assertion Markup Language (SSO/SAML), Security Technical Implementation Guide (STIG) and audit logging.
  • Build outcome-driven dashboards and advanced Kibana visualizations.
  • Develop automation using Infrastructure-as-Code (IaC) tools (Ansible, Terraform or equivalent).
  • Communicate technical decisions and trade-offs directly to client stakeholders.
  • Contribute to internal IP, including reusable templates, automation and reference architectures.

What you need to know:
  • Deep understanding of Elastic Stack capabilities and use cases across deployment, security and operations.
  • Knowledge of distributed cluster architecture at scale, including multi-tenant and CCS environments.

Must have's:
  • 6+ years in systems engineering or infrastructure, including 2+ years of production Elastic Stack experience.
  • Proven ability to analyze complex requirements and translate them into clear, actionable tasks and processes through critical thinking.
  • Strong problem-solving skills and a self-starter mentality.
  • Solid written and verbal communication skills.
  • Linux Command-Line Interface (CLI) fundamentals and basic networking knowledge.
  • Hands-on experience with containerization and IaC tooling.
  • Proficiency with at least one major cloud provider.
  • Experience with federal security controls (TLS, SSO/SAML, PIV/CAC, STIG).
  • Proven track record leading engagements from scoping through delivery.
  • Deep knowledge of distributed cluster architecture at scale, including multi-tenant and CCS environments.
  • Ability to drive client relationships and identify expansion opportunities.
  • Applicants must currently hold and maintain an active Secret clearance.

Beneficial to have:
  • Bachelor's degree in Cybersecurity, Computer Science, Information Technology, Engineering or a related field.
  • Elastic certifications (ECE or being on a defined certification track).
  • Elastic Security (SIEM, detection engineering, threat hunting and legacy migration).
  • Detection translation experience (SPL → ES|QL or equivalent).
  • Scripting proficiency (Python, Bash or PowerShell).
  • Exposure to AI-augmented search, RAG or semantic search use cases.
  • Prior professional services or consulting experience.

Where it's done:
  • Onsite (Huntsville, AL or Colorado Springs, CO or Orlando, FL or Virginia Beach, VA).

Apply