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Elastic Jobs (NOW HIRING)

RIT Solutions, Inc.

Sr. Elastic Engineer

$107K - $146K/yr

RIT Solutions, Inc. is seeking a Sr. Elastic Engineer with deep expertise in the Elastic Stack. The role involves optimizing Elasticsearch architecture, managing large-scale data sets, and ensuring ...

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 ...

asrcfh

Elastic SIEM Engineer

Hanover, MD · Hybrid

$150K - $165K/yr

ASRC Federal is actively hiring an Elastic SIEM Engineer in support of our Defense Counterintelligence Security Agency (DCSA) program based out of Hanover MD. Remote flexibility available! Telework ...

asrcfh

Elastic SIEM Engineer

Hanover, MD · Hybrid

$150K - $165K/yr

ASRC Federal is actively hiring an Elastic SIEM Engineer in support of our Defense Counterintelligence Security Agency (DCSA) program based out of Hanover MD. Remote flexibility available! Telework ...

LiquidKinetics

Elastic Stack Engineer

Reston, VA · On-site

LiquidKinetics is seeking a talented Elastic Stack Engineer to design, implement, and maintain our Elastic Stack infrastructure, including Elasticsearch, Logstash, Kibana, and Beats. This role ...

Internetwork Expert

Elastic Stack Engineer

Reston, VA · On-site

LiquidKinetics is seeking a talented Elastic Stack Engineer to design, implement, and maintain our Elastic Stack infrastructure, including Elasticsearch, Logstash, Kibana, and Beats. This role ...

Zachary Piper Solutions

$250K - $3M/yr

Zachary Piper Solutions is seeking a Senior Elastic Platform Engineer to support a company focused on a large-scale government modernization effort migrating from Splunk to Elastic within a ...

Elastic

Sr. Customer Architect

Mountain View, CA · 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 ...

Elastic

Customer Architect

Mountain View, CA · 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 ...

RIT Solutions, Inc.

Sr. Elastic Engineer

$117K - $160K/yr

RIT Solutions, Inc. is seeking a Senior Elastic Engineer with expertise in the Elastic Stack. The role involves optimizing Elasticsearch performance, managing data lifecycle, and ensuring security ...

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How much do elastic jobs pay per hour?

As of Sep 10, 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 is an elastic engineer?

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?

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.

Is Elastic a good company to work for?

Elastic is known for a collaborative work environment and a focus on open-source projects, with roles often involving skills in search, data analysis, and cloud technologies. Employee reviews highlight opportunities for professional growth, though experiences can vary by team and location.

Is Elastic a remote company?

Elastic offers remote work options for many of its roles, allowing employees to work from home depending on the position and team needs. The company supports flexible schedules and remote collaboration tools, but some roles may require onsite presence or travel. Job seekers should review specific job postings for remote work eligibility and requirements.

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 September 2026, with employment types broken down into 89% Full Time, 3% Part Time, and 8% Contract. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution, with an average salary of $115,000 per year, or $55.3 per hour.

Sr. Elastic Engineer

Remote

RIT Solutions, Inc.
Recruiting and Staffing Services • 201 - 500 employees
Learn more about RIT Solutions, Inc.external

$107K - $146K/yr

Full-time

Re-posted 27 days ago

Job description

Job Summary:
RIT Solutions, Inc. is seeking a Sr. Elastic Engineer with deep expertise in the Elastic Stack. The role involves optimizing Elasticsearch architecture, managing large-scale data sets, and ensuring the security and performance of Elastic Stack deployments.
Responsibilities:
• Deep understanding of Elasticsearch architecture, including indexing, search, and query performance optimization.
• Experience with Logstash for data ingestion and transformation.
• Proficiency with Kibana for data visualization and dashboard creation.
• Knowledge of Beats for lightweight data shipping.
• Experience with data modeling, schema design, and data lifecycle management in Elasticsearch.
• Proficiency in managing large-scale data sets and ensuring high availability and scalability.
• Proficiency in scripting languages such as Python, Bash, or PowerShell for automation tasks.
• Experience with configuration management tools like Ansible, Puppet, or Chef.
• Knowledge of securing Elastic Stack deployments, including user authentication, role-based access control, and encryption.
• Familiarity with compliance standards and best practices for securing sensitive data.
• Skills in optimizing Elasticsearch performance, including shard allocation, indexing strategies, and query optimization.
• Experience with monitoring tools and techniques for Elastic Stack.
• Strong troubleshooting skills to diagnose and resolve issues in Elastic Stack deployments.
Qualifications:
Required:
• Deep understanding of Elasticsearch architecture, including indexing, search, and query performance optimization.
• Experience with Logstash for data ingestion and transformation.
• Proficiency with Kibana for data visualization and dashboard creation.
• Knowledge of Beats for lightweight data shipping.
• Experience with data modeling, schema design, and data lifecycle management in Elasticsearch.
• Proficiency in managing large-scale data sets and ensuring high availability and scalability.
• Proficiency in scripting languages such as Python, Bash, or PowerShell for automation tasks.
• Experience with configuration management tools like Ansible, Puppet, or Chef.
• Knowledge of securing Elastic Stack deployments, including user authentication, role-based access control, and encryption.
• Familiarity with compliance standards and best practices for securing sensitive data.
• Skills in optimizing Elasticsearch performance, including shard allocation, indexing strategies, and query optimization.
• Experience with monitoring tools and techniques for Elastic Stack.
• Strong troubleshooting skills to diagnose and resolve issues in Elastic Stack deployments.
Company:
Jobdiva Job Portal: https://www1.jobdiva.com/candidates/myjobs/searchjobsdone.jsp?a=xbjdnwgjodtga1y1im2g881fkkeiwd0775lbvq8yqgps8vb2q36w2vj1ga6xxork&compid=-1 Recruitment (contingency search and campus selection). Founded in 2019, the company is headquartered in Arlington, USA, with a team of 201-500 employees. The company is currently Growth Stage.

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