1

Elasticsearch Developer Jobs (NOW HIRING)

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 ...

ElasticSearch Relevancy Eng MAHIN-JOB-32559 Role - ElasticSearch Relevancy Eng Location - San Jose ... Proficiency in one or more programming languages such as Java. Familiarity with machine learning ...

Elasticsearch * logstash * kafka * azure devops * pipelines * bash and/or powershell scripting * data processing and data pipelining experience * kibana dashboarding * Kubernetes Desirable Skills:

Elastic Engineer

Chantilly, VA · On-site

$118K - $162K/yr

They are seeking an Elasticsearch Engineer to design, deploy, and maintain enterprise log analytics and monitoring solutions using the Elastic Stack, focusing on building scalable, high-performance ...

Elastisearch Engineer

Chantilly, VA · On-site

$160K - $170K/yr

Elasticsearch Engineer WORK LOCATION: Chantilly, VA JOB CATEGORY: Information Technology JOB TYPE: Full Time CITIZENSHIP: United States Citizen CLEARANCE TYPE: Top Secret/SCI W/CI POLY TRAVEL ...

next page

Showing results 1-20

Elasticsearch Developer information

See salary details

$18

$45

$100

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:
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 Systems Engineer (SME)

Elasticsearch Systems Engineer (SME)

Leidos

Bethesda, MD • On-site

$154K - $278K/yr

Full-time

Retirement, PTO

Posted 22 days ago


Leidos rating

8.4

Company rating: 8.4 out of 10

Based on 146 frontline employees who took The Breakroom Quiz

56th of 428 rated business services


Job description

Leidoshas 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 Engineering, Computer Network Operations (CNO), Mission Software, Analytical Methods and Modeling, Signals Intelligence (SIGINT), and Cryptographic Key Management. At Leidos, we offer competitive benefits, including Paid Time Off, 11 paid Holidays, 401K with a 6% company match and immediate vesting, Flexible Schedules, Discounted Stock Purchase Plans, Technical Upskilling, Education and Training Support, Parental Paid Leave, and much more. Join us and make a difference in National Security!

Job Summary

The Elasticsearch Systems Engineer SME role provides support across an Agile team in a DevSecOps environment. This role will provide support for a large enterprise Elasticsearch deployment. This role requires providing design, configuration, maintenance and troubleshooting support in the Elastic environments in both cloud (AWS) and on prem. This role will also collaborate with architecture, engineering, development, and operations teams; ensuring production scalability and stability while maintaining data integrity.

Job Responsibilities

  • Maintain Elasticsearch clusters in a cloud-based environment across multiple availability zones.

  • Ensure Elasticsearch clusters run under optimal conditions.

  • Evaluate and optimize Elasticsearch clusters, including configuration parameters, indexing, search, query performance tuning, security, and administration.

  • Maintain infrastructure to ensure performance and data integrity.

  • Keep Elasticsearch clusters upgraded, as permitted by the applications reliant on them.

Basic Qualifications

  • 3+ years of experience with Elasticsearch Administration.

  • Direct experience maintaining and integrating Elasticsearch within an operational enterprise information system.

  • Experience working in an Agile development environment and tempo.

  • Experience with deploying and using Elasticsearch in Commercial Cloud Platforms (e.g., AWS, Google Cloud, Azure).

  • Masters with 15 or more years of relevant experience or a PhD with 13 or more years of relevant experience. Additional years of experience may be substituted in lieu of a degree.

  • TS/SCI with Poly is required for consideration.

Preferred Qualifications

  • Experience working on the customer's systems.

  • Understanding of the customer's system development policies.

  • Additional certifications related to Elasticsearch.

At Leidos, the opportunities are boundless. We challenge our staff with interesting assignments that allow them to thrive professionally and personally. For us, helping you grow your career is good business. We look forward to learning more about you - apply today.

CABARESTON

If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo - because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 - and moving faster than anyone else dares.

Original Posting:January 20, 2026

For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.

Pay Range:Pay Range $154,050.00 - $278,475.00

The Leidos pay range for this job level is a general guideline onlyand not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.


What Leidos employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Leidos logo

About Leidos

Sourced by ZipRecruiter

At Leidos, we deliver innovative solutions through the efforts of our diverse and talented people who are dedicated to our customers' success. We empower our teams, contribute to our communities, and operate sustainable practices. Everything we do is built on a commitment to do the right thing for our customers, our people, and our community.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Reston, VA, US

Social media