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Elastic Engineer Jobs in Colorado (NOW HIRING)

ECS

Sr. Elastic Engineer

Colorado Springs, CO · On-site

$170K - $230K/yr

ECS is seeking a Sr. Elastic Engineer to work in our Colorado Springs, CO office. Please Note: This position is contingent upon additional funding. Are you passionate about building and scaling ...

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 ...

ECS

Sr. Elastic Engineer

Colorado Springs, CO · On-site

$100K - $138K/yr

ECS is a leading provider of cloud, AI, data, and enterprise transformation solutions, seeking a Sr. Elastic Engineer to join their Managed Security Services team. The role involves implementing ...

Booz Allen Hamilton

Elastic Engineer

Colorado Springs, CO · On-site

$86K - $198K/yr

Elastic Engineer The Opportunity: Work with clients and peers to build a high performing system using Elastic to aggregate logs from many systems into a single common schema.Use Elastic Common Schema ...

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Elastic Engineer information

See Colorado salary details

$40K

$121.8K

$201.4K

How much do elastic engineer jobs pay per year?

As of Aug 6, 2026, the average yearly pay for elastic engineer in Colorado is $121,834.00, according to ZipRecruiter salary data. Most workers in this role earn between $87,300.00 and $159,300.00 per year, depending on experience, location, and employer.

What challenges do Elastic Engineers face in their day-to-day work?

As an Elastic Engineer, you may encounter challenges around optimizing Elasticsearch clusters for performance, managing large-scale data ingestion, and troubleshooting complex indexing or query issues. Balancing scalability, security, and cost-efficiency can also be demanding, especially as data and user requirements grow. You'll often collaborate with DevOps, data engineering, and security teams to ensure systems run smoothly and securely. Proactively monitoring for issues and fine-tuning configurations are key parts of maintaining a stable and high-performing Elastic Stack environment.

What skills and qualifications are needed to be an Elastic Engineer?

To thrive as an Elastic Engineer, you need a strong background in managing and optimizing Elastic Stack (Elasticsearch, Logstash, Kibana, Beats) deployments, typically supported by experience in system administration, scripting, and cloud platforms. Familiarity with monitoring tools, containerization (Docker, Kubernetes), and Elastic Certified Engineer credentials are often highly valued. Strong problem-solving abilities, collaboration skills, and clear communication enable success within multidisciplinary tech teams. These competencies ensure effective data ingestion, search, and analytics solutions, which are essential to maintaining robust infrastructure and business insights.

How much do Elastic Engineers make?

Elastic Engineers typically earn a median salary ranging from $100,000 to $150,000 annually, depending on experience, location, and skill set. Professionals with expertise in Elasticsearch, distributed systems, and cloud environments may have higher earning potential, especially with certifications or advanced skills.

What does an Elastic Engineer do?

An Elastic Engineer specializes in designing, implementing, and optimizing solutions using Elasticsearch and the Elastic Stack. They manage cluster configurations, indexing strategies, and query performance to ensure efficient data retrieval and search functionality. They also monitor system health, troubleshoot issues, and integrate Elastic solutions with other technologies. Additionally, they may work on security, scalability, and automation to enhance performance and reliability.

What is the salary of elastic engineer?

The salary of an Elastic Engineer typically ranges from $80,000 to $150,000 annually, depending on experience, location, and certifications. Senior roles or those with specialized skills in Elasticsearch and related tools may earn higher compensation. Salaries can also vary based on the company's size and industry.
What are the most commonly searched types of Elastic Engineer jobs in Colorado? The most popular types of Elastic Engineer jobs in Colorado are:
What are popular job titles related to Elastic Engineer jobs in Colorado? For Elastic Engineer jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Elastic Engineer jobs in Colorado look for? The top searched job categories for Elastic Engineer jobs in Colorado are:
Elastic Engineer jobs near you
Infographic showing various Elastic Engineer job openings in Colorado as of August 2026, with employment types broken down into 92% Full Time, 2% Part Time, and 6% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $121,834 per year, or $58.6 per hour.

Sr. Elastic Engineer

ECS

Colorado Springs, CO • On-site

$170K - $230K/yr

Full-time

Re-posted 10 days ago

Job description

ECS is seeking a Sr. Elastic Engineer to work in our Colorado Springs, CO office. Please Note: This position is contingent upon additional funding.
Are you passionate about building and scaling Elastic environments and eager to make an immediate technical impact? Join ECS, a leading provider of cloud, AI, data, and enterprise transformation solutions. In this role, you will implement, optimize, and maintain Elastic Stack environments at scale while contributing to architecture, automation, and integrations that improve reliability, performance, and operational efficiency.
We are seeking a Sr. Elastic Engineer to join our Managed Security Services (MSSP) team. The ideal candidate has hands-on experience with Elastic Stack and enjoys designing, coding, and deploying complex systems. You will collaborate with engineering, DevOps, cloud, and client teams to deliver resilient, high-performance Elastic solutions while maintaining visibility into system health and operational workflows.
Key Responsibilities:
  • Design, deploy, and maintain Elastic Stack environments, including Elasticsearch, Kibana, Logstash, Beats, and Fleet.
  • Build and optimize ingestion pipelines, index strategies, search queries, dashboards, and automation workflows.
  • Write scripts, automation, and integrations (Python, PowerShell, Bash, etc.) to streamline operations, data processing, and monitoring.
  • Deploy Elastic across platforms, including on-premises, public cloud (AWS, Azure, GCP), GovCloud, and containerized environments (Kubernetes, Docker, OpenShift).
  • Leverage automation and orchestration tools such as Terraform, Ansible, CI/CD pipelines, and Docker to manage deployments and operational tasks.
  • Integrate Elastic with enterprise tools such as SIEMs, Splunk, CrowdStrike, and other telemetry sources.
  • Monitor system health, troubleshoot performance issues, and optimize for reliability and scalability.
  • Lead design reviews, provide guidance on Elastic best practices, and support knowledge sharing across teams.
  • Maintain documentation for architectures, deployment patterns, runbooks, and operational best practices.
  • Stay current with Elastic features, certifications, and emerging platform capabilities.

Salary Range: $170,000 - $230,000
General Description of Benefits
  • Deep, hands-on expertise with Elastic Stack (Elasticsearch, Kibana, Logstash, Beats, Fleet).
  • Strong scripting and automation skills (Python, PowerShell, Bash, etc.).
  • Solid understanding of observability, logging, metrics, and distributed systems.
  • Experience designing, deploying, and optimizing production-scale Elastic environments.
  • Strong Linux/Unix, networking, and cloud platform knowledge (AWS, Azure, GCP).
  • Ability to mentor, guide, and influence engineering teams on Elastic best practices.
  • Outstanding verbal and written communication skills.
  • Willingness and ability to support domestic or international on-site engagements.
  • U.S. Passport required.
  • Must have a Secret Clearance, at minimum.
  • Must be eligible to obtain a U.S. Security Clearance.

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