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Splunk Engineer Jobs in Utah (NOW HIRING)

Platform Engineer (DevOps)

Salt Lake City, UT · On-site

$52 - $71.25/hr

Implement enterprise monitoring, logging, and observability solutions using Splunk, AppDynamics ... , Cloud Engineer, Pipeline Engineer, or in a similar role * Strong programming and automation ...

Platform Engineer (DevOps)

Salt Lake City, UT · On-site

$52 - $71.25/hr

Implement enterprise monitoring, logging, and observability solutions using Splunk, AppDynamics ... , Cloud Engineer, Pipeline Engineer, or in a similar role * Strong programming and automation ...

Platform Engineer (DevOps)

Salt Lake City, UT · On-site

$52 - $71.25/hr

Implement enterprise monitoring, logging, and observability solutions using Splunk, AppDynamics ... , Cloud Engineer, Pipeline Engineer, or in a similar role * Strong programming and automation ...

Platform Engineer (DevOps)

Salt Lake City, UT · On-site

$51 - $70/hr

... Splunk, AppDynamics, and comparable platforms to improve system health, reliability, and ... , Cloud Engineer, Pipeline Engineer, or in a similar role • Strong programming and automation ...

Platform Engineer (DevOps)

Salt Lake City, UT · On-site

$52 - $71.25/hr

Implement enterprise monitoring, logging, and observability solutions using Splunk, AppDynamics ... , Cloud Engineer, Pipeline Engineer, or in a similar role * Strong programming and automation ...

Security Operations Engineer

Lehi, UT · On-site

$120K - $180K/yr

Build advanced detection queries in Splunk and deploy enterprise-wide deception strategies aligned ... Security Engineering & Vulnerability Mastery: You possess deep experience in security operations ...

Senior Big Data Engineer

Salt Lake City, UT · On-site

$54 - $71.25/hr

... Splunk. • Understanding and experience with SQL and MPP databases such as Greenplum. • ... with Java programming. Additional Information All your information will be kept confidential ...

Development Operations Engineer - Hybrid

Lehi, UT · Hybrid

$49.50 - $67.75/hr

Description Verisk is seeking an engineer to help adhere to best practices in the cloud. In this ... Familiarity with Splunk * Experience with containers and tools such as Docker and Kubernetes

Showing results 21-40

Splunk Engineer information

See Utah salary details

$63.2K

$112.7K

$157.4K

How much do splunk engineer jobs pay per year?

As of Sep 2, 2026, the average yearly pay for splunk engineer in Utah is $112,707.00, according to ZipRecruiter salary data. Most workers in this role earn between $89,771.00 and $129,019.00 per year, depending on experience, location, and employer.

What is a Splunk Engineer?

A Splunk Engineer is an IT professional who specializes in deploying, configuring, and managing Splunk software for data analysis and monitoring. They are responsible for setting up data ingestion pipelines, creating dashboards, and developing alerts to help organizations monitor their systems and security. Splunk Engineers often work with large datasets to extract meaningful insights, support troubleshooting, and ensure system health. Their expertise is essential for leveraging Splunk’s capabilities in IT operations, security, and compliance.

What are the key skills and qualifications needed to thrive as a Splunk Engineer?

To thrive as a Splunk Engineer, you need expertise in data analysis, log management, and scripting languages like Python or Bash, often backed by a degree in computer science or related field. Familiarity with Splunk Enterprise, Splunk Cloud, and certifications such as Splunk Certified Power User or Splunk Certified Admin are typically required. Strong problem-solving abilities, attention to detail, and effective communication help you stand out in this position. These skills are crucial for efficiently managing complex data environments, delivering actionable insights, and supporting organizational security and operations.

What are some common challenges Splunk Engineers face when managing large-scale log data environments?

Splunk Engineers working with large-scale log data environments often encounter challenges related to data ingestion bottlenecks, maintaining indexer performance, and ensuring efficient search query execution. Balancing storage management with retention policies and optimizing dashboards for real-time analysis can also be complex. Successful engineers proactively collaborate with IT, security, and development teams to fine-tune data sources, streamline parsing, and implement best practices for scalability, ensuring that Splunk delivers timely and actionable insights.

What is the difference between Splunk Engineer vs Data Analyst?

AspectSplunk EngineerData Analyst
Required CredentialsSplunk certifications, technical degreesStatistics, data analysis certifications, degrees
Work EnvironmentIT/security teams, tech-focused companiesBusiness, marketing, finance departments
Employer & Industry UsageTech, cybersecurity, enterprise ITFinance, healthcare, retail, marketing

Splunk Engineers focus on deploying, configuring, and maintaining Splunk platforms for data monitoring and security. Data Analysts interpret data to generate insights for business decisions. While both roles work with data, Splunk Engineers specialize in technical implementation of Splunk tools, whereas Data Analysts focus on analyzing data to inform strategies.

Is Splunk a good place to work?

Splunk engineers typically work in a technology-focused environment that emphasizes data analysis, security, and system monitoring. The company offers opportunities for skill development with tools like Splunk Enterprise and often provides a collaborative workplace culture. Job satisfaction can vary based on individual roles and team dynamics.

Is Splunk in high demand?

Splunk engineers are in high demand due to the increasing need for data analysis, security monitoring, and IT operations management. Organizations seek professionals skilled in Splunk, often requiring knowledge of scripting, dashboards, and certifications, leading to strong job growth in this field.

What is a Splunk engineer's salary?

A Splunk engineer's salary typically ranges from $80,000 to $130,000 annually, depending on experience, location, and certifications. Senior roles or those with specialized skills in data analysis and security can earn higher compensation, often exceeding $150,000.

What are popular job titles related to Splunk Engineer jobs in Utah?

For Splunk Engineer jobs in Utah, the most frequently searched job titles are:

Infographic showing various Splunk Engineer job openings in Utah as of August 2026, with employment types broken down into 90% Full Time, 7% Part Time, and 3% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $112,707 per year, or $54.2 per hour.

Devops/Platform Engineer

Judge Group, Inc.

Salt Lake City, UT • On-site

$55 - $60/hr

Other

Re-posted 12 days ago


Job description

Location: Salt Lake City, UT Salary: $55.00 USD Hourly - $60.00 USD Hourly Description:
About the Role
We are seeking a DevOps & Platform Engineer to design, automate, optimize, and support enterprise platforms that enable secure, reliable, and scalable software delivery. This role involves collaborating with software engineers, architects, infrastructure teams, and stakeholders to implement modern platform solutions, deployment automation, cloud infrastructure, and graph database technologies. The position requires expertise across DevOps, cloud engineering, platform automation, Kubernetes, and Neo4j Graph Database administration.
Responsibilities
  • Design, implement, and support enterprise DevOps platforms that improve software delivery, operational excellence, and engineering productivity.
  • Administer and optimize enterprise source code management platforms, including Git repositories, branching strategies, version control, merge workflows, and release management.
  • Design, build, deploy, administer, and maintain Neo4j Graph Database environments, including installation, upgrades, clustering, performance tuning, backup and recovery, monitoring, and production support.
  • Develop and optimize graph data models, Cypher queries, indexes, and graph traversal strategies for high-performance, relationship-driven applications.
  • Build reusable platform services, automation frameworks, APIs, integrations, plug-ins, and microservices.
  • Design, implement, and maintain CI/CD pipelines using Azure DevOps, Jenkins, GitLab CI/CD, or similar platforms.
  • Deploy, manage, and support containerized applications using Docker, Kubernetes, Helm, and enterprise Kubernetes platforms.
  • Implement cloud-native infrastructure on Google Cloud Platform (preferred) or AWS using Infrastructure as Code and automation best practices.
  • Develop Infrastructure as Code (IaC) solutions using Terraform, Ansible, Puppet, Chef, or similar technologies.
  • Implement monitoring, logging, and observability solutions using AppDynamics, Splunk, Prometheus, Grafana, ELK/OpenSearch, or similar tools.
  • Troubleshoot complex platform, application, infrastructure, and deployment issues, perform root cause analysis, and drive continuous improvement.
  • Create and maintain technical documentation, engineering standards, deployment procedures, and operational runbooks.
  • Collaborate with cross-functional teams to deliver secure, scalable, and highly available platform solutions.
  • Participate in Agile ceremonies, technical design discussions, code reviews, and continuous improvement initiatives.

Qualifications
  • Bachelor's degree in Computer Science, Computer Engineering, Information Technology, or a related technical discipline.
  • 3+ years of experience in DevOps Engineering, Platform Engineering, Site Reliability Engineering (SRE), Infrastructure Engineering, Cloud Engineering, or a related role.
  • Strong programming and scripting experience with one or more of the following:
    • Python, Java, TypeScript, JavaScript, Groovy, Bash, PowerShell, YAML, Ruby
  • Experience developing and supporting REST APIs, microservices, and build frameworks such as Maven and Gradle.
  • Hands-on experience designing, deploying, administering, and supporting Neo4j Graph Database environments, including installation, upgrades, clustering, backup and recovery, performance tuning, monitoring, and production support.
  • Strong knowledge of Cypher Query Language, graph data modeling, graph query optimization, and graph database best practices.
  • Advanced experience with Git and enterprise source code management practices.
  • Experience designing, implementing, and supporting CI/CD pipelines using Azure DevOps, Jenkins, GitLab, or similar platforms.
  • Experience deploying and managing containerized applications using Docker, Kubernetes, Helm, and enterprise Kubernetes platforms such as OpenShift, Tanzu, Rancher (RKE), or equivalent.
  • Experience working with Google Cloud Platform or AWS in cloud-native enterprise environments.
  • Experience implementing Infrastructure as Code using Terraform, Ansible, Puppet, Chef, or comparable automation tools.
  • Experience supporting Linux and Windows server environments.
  • Experience implementing monitoring, logging, and observability solutions using AppDynamics, Splunk, Prometheus, Grafana, ELK/OpenSearch, or similar technologies.
  • Working knowledge of relational and NoSQL databases, including SQL Server, MySQL, MongoDB, and database migration/versioning tools such as Liquibase.
  • Strong analytical, troubleshooting, communication, and collaboration skills.
  • Experience working within Agile methodologies including Scrum, Kanban, or SAFe.

Preferred Skills
  • Google Cloud Professional, AWS, Kubernetes (CKA/CKAD), Terraform, or Azure DevOps certifications.
  • Experience supporting highly available, mission-critical production environments.
  • Familiarity with security automation, vulnerability management, and DevSecOps practices.
  • Experience mentoring junior engineers and promoting DevOps best practices across engineering teams.

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Contact:
This job and many more are available through The Judge Group. Please apply with us today!