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Elasticsearch Developer Jobs (NOW HIRING)

InterSources

ELK / Elasticsearch Engineer

Tampa, FL

ELK / Elasticsearch Engineer Job Location: Irving, TX or Tampa, FL or New Castle, DE Job Type: Full-Time Responsibilities: * Designs, implements, and configures Kibana visualizations as required by ...

Trinity ES LLC

Elasticsearch Mid Engineer

Chantilly, VA · On-site

Contribute to optimizing Elasticsearch infrastructure and configurations to ensure cluster health ... Experience as a software developer, integrator, administrator, or similar technical role. * Must be ...

Leidos

Elasticsearch Systems Engineer (SME)

Bethesda, MD · On-site

$154K - $278K/yr

Leidos has an exciting opportunity for a Elasticsearch Systems Engineer (SME) in our Intel Security Sector's Analysis Solutions Business Area . Our talented team is at the forefront in Security ...

Leidos

Elasticsearch Systems Engineer (SME)

Bethesda, MD · On-site

$154K - $278K/yr

Leidos has an exciting opportunity for a Elasticsearch Systems Engineer (SME) in our Intel Security Sector's Analysis Solutions Business Area . Our talented team is at the forefront in Security ...

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Elasticsearch Developer information

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How much do elasticsearch developer jobs pay per hour?

As of Jun 19, 2026, the average hourly pay for elasticsearch developer in the United States is $45.29, according to ZipRecruiter salary data. Most workers in this role earn between $23.56 and $54.81 per hour, depending on experience, location, and employer.

What is the difference between Elasticsearch Developer vs Data Engineer?

AspectElasticsearch DeveloperData Engineer
Required CredentialsProficiency in Elasticsearch, JSON, REST APIsSQL, Python, ETL tools, cloud platforms
Work EnvironmentFocus on search, indexing, and data retrieval within applicationsBuild data pipelines, manage databases, and optimize data flow
Employer & Industry UsageTech companies, e-commerce, search enginesFinance, healthcare, tech firms, data-driven organizations

Elasticsearch Developers specialize in implementing and optimizing Elasticsearch for search and analytics, focusing on search engine functionalities. Data Engineers design and maintain data pipelines and infrastructure, often working with multiple tools and platforms. While both roles require data handling skills, Elasticsearch Developers focus on search solutions, whereas Data Engineers handle broader data architecture and processing tasks.

What are some common challenges Elasticsearch Developers face when optimizing large-scale search queries, and how can they address them?

Elasticsearch Developers often encounter challenges such as slow query performance and resource bottlenecks when dealing with large datasets. To address these issues, developers should focus on designing efficient index mappings, utilizing filters instead of queries where possible, and leveraging features like pagination and aggregations carefully. Monitoring cluster health and resource usage is also key, as is regularly updating and tuning the underlying infrastructure. Collaborating closely with DevOps and data engineering teams ensures optimal configurations and quick resolution of performance problems.

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

To thrive as an Elasticsearch Developer, you need a strong background in software development, information retrieval, and experience with Elasticsearch and related technologies, typically supported by a degree in computer science or a related field. Proficiency with Elasticsearch APIs, Kibana, Logstash, and experience with scripting languages like Python or Java are commonly required, along with relevant certifications such as Elastic Certified Engineer. Analytical thinking, problem-solving ability, and effective communication help developers collaborate and address complex search and data challenges. These skills ensure efficient data indexing, retrieval, and analysis, driving scalable solutions in data-driven environments.

What does an Elasticsearch Developer do?

An Elasticsearch Developer specializes in designing, developing, and maintaining search and analytics solutions using Elasticsearch, an open-source search and analytics engine. They are responsible for creating efficient data indexing, building search queries, optimizing performance, and integrating Elasticsearch with other applications. Additionally, they troubleshoot issues, ensure data security, and help organizations make the most of their data through scalable search capabilities.
More about Elasticsearch Developer jobs
What states have the most Elasticsearch Developer jobs? States with the most job openings for Elasticsearch Developer jobs include:
What job categories do people searching Elasticsearch Developer jobs look for? The top searched job categories for Elasticsearch Developer jobs are:
Elasticsearch Developer jobs near you
Infographic showing various Elasticsearch Developer job openings in the United States as of June 2026, with employment types broken down into 62% Full Time, and 38% Part Time. Highlights an 81% Physical, 7% Hybrid, and 12% Remote job distribution, with an average salary of $94,200 per year, or $45.3 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

Posted 1 hour 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