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Logstash Jobs (NOW HIRING)

ECS

USIEM Elastic Engineer

Sierra Vista, AZ · On-site

$110K - $150K/yr

Demonstrated experience with the full Elastic Stack - Elasticsearch, Logstash, Kibana, Beats, Machine Learning, and REST API integration * Demonstrated ability to utilize Ansible Playbook

aqua IT

Sr Elasticsearch Engineer

Chantilly, VA · On-site

$107K - $146K/yr

Design, develop, and deploy a log analytics and infrastructure monitoring solution using the Elastic stack (Elasticsearch, Logstash, Beats, and Kibana). This solution will act in support of an ...

ECS

Sr. Elastic Engineer

Hampton, VA · On-site

$96K - $132K/yr

Design, deploy, and maintain Elastic Stack environments, including Elasticsearch, Kibana, Logstash, Beats, and Fleet. * Build and optimize ingestion pipelines, index strategies, search queries ...

Booz Allen Hamilton

SIEM Platform Engineer

Reston, VA · On-site

... Logstash, Elasticsearch, Kibana, and Beats, including installing, configuring, maintaining, upgrading, and troubleshooting these products • Experience architecting detection engineering pipelines ...

Elite Technical

Sr. Elastic Engineer (Hanscom AFB)

Boston, MA · On-site

$113K - $155K/yr

Design, deploy, and maintain Elastic Stack environments, including Elasticsearch, Kibana, Logstash, Beats, and Fleet. * Build and optimize ingestion pipelines, index strategies, search queries ...

ECS

Sr. Elastic Engineer

Scott Air Force Base, IL · On-site

$100K - $138K/yr

Design, deploy, and maintain Elastic Stack environments, including Elasticsearch, Kibana, Logstash, Beats, and Fleet. * Build and optimize ingestion pipelines, index strategies, search queries ...

New

ECS

Sr. Elastic Engineer

Hampton, VA · On-site

$96K - $132K/yr

Design, deploy, and maintain Elastic Stack environments, including Elasticsearch, Kibana, Logstash, Beats, and Fleet. * Build and optimize ingestion pipelines, index strategies, search queries ...

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How much do logstash jobs pay per hour?

As of Jun 19, 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 used for?

Logstash is a data processing pipeline used by data analysts and engineers to collect, parse, and transform log and event data from various sources. It is commonly integrated with Elasticsearch and Kibana as part of the Elastic Stack for real-time data analysis and visualization. Proficiency in scripting and understanding of data formats enhances its effective use in monitoring and troubleshooting systems.

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 jobs will still be around in 2050?

Logstash-related roles, such as data engineers and DevOps engineers, are expected to remain in demand due to ongoing needs for data processing, integration, and automation. Skills in data management, scripting, and familiarity with cloud environments will continue to be valuable in the evolving tech landscape. However, rapid technological changes may also lead to new tools and roles emerging over time.

Is Logstash still relevant?

Logstash is a widely used open-source data processing pipeline for collecting, parsing, and transforming logs and event data, often as part of the Elastic Stack. It remains relevant for organizations implementing real-time data analysis, monitoring, and centralized logging, especially when combined with Elasticsearch and Kibana. Knowledge of Logstash, along with related tools like Elasticsearch, is valuable for roles in data engineering and DevOps.

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.

Is elastic fully remote?

Logstash is a tool used in data processing and is often part of roles related to Elasticsearch and the Elastic Stack. Whether a specific Logstash job is fully remote depends on the employer, but many companies in the tech industry offer remote positions for roles involving data engineering, DevOps, and related skills. It is common to find remote opportunities for these positions, especially for candidates with experience in scripting, Linux, and cloud environments.

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.

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What job categories do people searching Logstash jobs look for? The top searched job categories for Logstash jobs are:
Logstash jobs near you
ELK Stack Developer

ELK Stack Developer

Donato Technologies, Inc

Phoenix, AZ • On-site

Contractor

Posted 29 days ago

Job description

Job Title: ELK Stack Developer
Job Location:  Phoenix, AZ
Job Duration: 12+Months
 
Job Description: 
  • Expertise in java 8 and later. Python experience is a big plus.
  • Google cloud experience - dataproc, dataflow, bigquery, pubsub
  • Experience in containerization technologies - Kubernetes, Openshift, DockerCICD experience
  • Experience using observability and monitoring tech stack - ELK or similar
     
Skills: Java, Python, Google Kubernetes Engine (GKE), Openshift, Kubernetes, Docker, ELK Stack (Elastic Search, Logstash, Kibana)