ZipRecruiter

Log In

1

Logstash Jobs (NOW HIRING)

Navtech, Inc.

Elastic Search Engineer

Manhattan, NY · On-site +1

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

Tror AI for everyone

ELK / ESS Engineer

Mclean, VA · On-site

Develop pipelines for indexing data from various sources using Logstash or ingestion APIs. * Monitoring & Security: Monitor cluster health, maintain security protocols, and ensure data integrity.

Reflexive Concepts

Experience with Elastic Stack (Elasticsearch, Logstash, and Kibana), including Elastic Application Performance Monitoring (APM) * Installing, updating, and/or maintaining multiple Elastic Stack ...

Deegit Inc

Senior NoSQL Administrator

Provo, UT · On-site

Company Description Deegit Inc. • BS in Computer Science, Information Systems or related technical degree. • 5 or more year's experience with ELK (Elasticsearch, Logstash, Kibana) • 5 or more ...

next page

Showing results 1-20

All JobsLogstash Jobs

Logstash information

See salary details

$12

$20

$33

How much do logstash jobs pay per hour?

As of Jul 9, 2026, the average hourly pay for logstash in the United States is $20.44, according to ZipRecruiter salary data. Most workers in this role earn between $16.83 and $21.39 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Logstash Engineer, and why are they important?

To thrive as a Logstash Engineer, you need strong experience in data pipeline design, ETL processes, and a good understanding of the ELK Stack, often supported by a background in computer science or IT. Familiarity with Logstash configuration, regex, Elasticsearch, Kibana, and tools like Beats, as well as certifications such as Elastic Certified Engineer, are typically required. Analytical thinking, problem-solving, and effective communication help engineers troubleshoot issues and collaborate with cross-functional teams. These skills ensure reliable data ingestion, transformation, and visualization, which are vital for organizational insights and system monitoring.

What is Logstash and what is it used for?

Logstash is an open-source data processing pipeline that ingests, transforms, and forwards data from a variety of sources to a designated destination, such as Elasticsearch. It is often used as part of the Elastic Stack (ELK Stack) to collect logs, parse them, and transport them for analysis and visualization. Logstash supports a wide range of input, filter, and output plugins, making it highly versatile for handling logs, metrics, and other event data. Its ability to process and enrich data in real time makes it popular among organizations for centralized logging and monitoring.

What are some common challenges Logstash engineers face when managing large-scale data pipelines?

Logstash engineers working with large-scale data pipelines often encounter challenges such as managing throughput bottlenecks, optimizing pipeline performance, and handling diverse data formats. Ensuring data reliability and minimizing latency can require careful tuning of pipeline configurations and efficient resource allocation. Collaboration with DevOps, data engineering, and security teams is common to ensure seamless data flow and to troubleshoot issues quickly, making strong communication skills and adaptability important for success in this role.

What is the difference between Logstash vs Elasticsearch?

AspectLogstashElasticsearch
Primary FunctionData collection, processing, and transformationData storage, search, and analytics
Work EnvironmentPart of the Elastic Stack, used for log and event data processingDistributed search and analytics engine
Required SkillsData pipeline, scripting, and log managementSearch queries, data indexing, and cluster management

Logstash and Elasticsearch are both key components of the Elastic Stack but serve different purposes. Logstash handles data collection and processing, while Elasticsearch stores and enables fast search and analysis of that data. They are often used together to build comprehensive logging and analytics solutions.

More about Logstash jobs
What job categories do people searching Logstash jobs look for? The top searched job categories for Logstash jobs are:
Logstash jobs near you
Infographic showing various Logstash job openings in the United States as of July 2026, with employment types broken down into 91% Full Time, 4% Part Time, and 5% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $42,520 per year, or $20.4 per hour.
Elasticsearch Administrator CGEMJP00320121

Elasticsearch Administrator CGEMJP00320121

R2 Technologies Corporation

New York, NY • On-site

Full-time

Re-posted 6 days ago

Job description

Overview:
Elasticsearch Administrator CGEMJP00320121
Location - New York (Hybrid 3 days onsite)
Experience Level: Mid - Level ( 8+)
Job Summary:
We are seeking a skilled and experienced Elasticsearch Administrator to manage, maintain, and optimize our Elasticsearch clusters. The ideal candidate will have a strong background in search technologies, systems administration, and monitoring tools, and will be responsible for ensuring the performance, availability, and security of Elasticsearch deployments.
Key Responsibilities:
• Install, configure, and manage Elasticsearch clusters and nodes.
• Monitor Elasticsearch performance and availability using tools like Kibana, Grafana, or Prometheus.
• Implement security policies including authentication, authorization, TLS, and audit logging.
• Troubleshoot and resolve issues related to cluster health, node communication, and indexing.
Required Skills:
• Strong hands-on experience with Elasticsearch (v7.x and above).
• Experience with Kibana, Beats, and Logstash (ELK stack).
• Proficiency in scripting languages like Bash, Python, or Shell.
• Experience with cloud environments such as AWS, Azure, or GCP.
• Knowledge of containerization (Docker, Kubernetes).
Skills:
Kibana,Elasticsearch (v7.x and above),Logstash (ELK stack,Bash,Python,AWS,Docker

Apply