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Splunk Engineer Jobs in Nevada (NOW HIRING)

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Splunk Engineer information

See Nevada salary details

$74K

$132.1K

$184.5K

How much do splunk engineer jobs pay per year?

As of Jun 21, 2026, the average yearly pay for splunk engineer in Nevada is $132,079.00, according to ZipRecruiter salary data. Most workers in this role earn between $105,201.00 and $151,194.00 per year, depending on experience, location, and employer.

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

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.

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 popular job titles related to Splunk Engineer jobs in Nevada? For Splunk Engineer jobs in Nevada, the most frequently searched job titles are:
What job categories do people searching Splunk Engineer jobs in Nevada look for? The top searched job categories for Splunk Engineer jobs in Nevada are:
Infographic showing various Splunk Engineer job openings in Nevada as of June 2026, with employment types broken down into 82% Full Time, and 18% Part Time. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $132,079 per year, or $63.5 per hour.
Delivery Management Engineer III

Delivery Management Engineer III

Deloitte

Las Vegas, NV • Hybrid

Other

Posted 2 days ago


Deloitte rating

8.1

Company rating: 8.1 out of 10

Based on 86 frontline employees who took The Breakroom Quiz

58th of 138 rated financial services


Job description

Delivery Management Engineer III- AI & Engineering

Join our AI & Engineering team in transforming technology platforms, driving innovation, and helping make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and re-engineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation.
AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.
Engineering as a Service provides complete design, implementation, and technology operations, leveraging our core engineering expertise. We transform engineering teams, modernize technology, and deliver complex programs with a product engineering approach. Our flexible delivery models-traditional teams, pools, or pods-are tailored to each client's needs, offering engineering-led advisory, implementation, and operational capabilities to accelerate innovation.

Recruiting for this role ends on 8/1/2026.

Work You'll Do

As a Delivery Management Engineer III, you will have hands-on technical skills as well as program and project management experience to drive technical projects and programs working directly with our onshore and offshore development and engineering teams. You'll bring a mix of hands-on technical expertise with the ability to drive projects to completion managing onshore and offshore teams. You will work directly with engineering teams, assisting with product and service delivery for AI, GenAI, and Cloud platform programs. You'll have full life-cycle project experience with specific technical skills enabling you to be a valued technical member of our engineering teams. You will manage small projects or workstreams of larger projects.

  • Product & Service Lifecycle Management: you will work with our product or service delivery teams for AI, GenAI, and Cloud platform programs; engaging with engineering teams.
  • CI/CD Pipeline Design & Automation: you will design and optimize CI/CD pipelines with cloud-native and open-source tools.
  • Technical Project/Program Management: you will help manage technical programs/projects with your structured planning, reporting, and risk management skills.
  • Requirements Management / Business Analysis: you will handle requirements documentation (FSDs), mapping business needs to technical solutions, and stakeholder communications.
  • Containerization & Orchestration: you will managing platforms like Kubernetes, Docker, ECS/EKS (multi-cloud preferred).
  • Stakeholder Communication & Leadership: you will drive proactive collaboration between PMOs, executives, technical partners, and DevOps teams.

Qualifications - Required Skills and Experience

  • 6+ years' experience in CI/CD pipeline design and automation with a proven track record designing and optimizing CI/CD pipelines with cloud-native and open-source tools.
  • Containerization & Orchestration - experience managing platforms like Kubernetes, Docker, ECS/EKS (multi-cloud preferred).
  • Infrastructure as Code (IaC) experience - 3+ years' experience in Terraform, with exposure to related monitoring/deployment tools such as Dynatrace, Splunk.
  • 6+ years' experience in product and lifecycle management with experience leading product or service delivery.
  • 6+ years' experience as a technical program or project manager which should include structured planning, reporting, and risk management responsibilities.
  • 6+ years' experience in requirements documentation (FSDs), mapping business needs to technical solutions, and stakeholder communications.
  • 6+ years' experience with Git workflows, GitHub/GitLab automation, and best practices for source control.
  • 6+ years' experience driving proactive collaboration between PMOs, executives, technical partners, and DevOps teams.
  • Bachelor's degree in computer science, software engineering, information technology or a related field.
  • Ability to travel up to 50% of the time, based on the work you do and the clients and industries/sectors you serve.
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.

Qualifications - Preferred Skills and Experience:

  • Strong fluency in Python scripting for automation, integrations, and tooling customization.
  • Release Train Engineering (RTE): Experience in environment oversight, migration, release management, and roadmap coordination in scaled agile settings.
  • 5+ years' experience in Cloud Program Management with hands-on expertise with cloud infrastructure provisioning and automation (AWS, Azure, GCP).
  • 5+ years' experience with DevSecOps including automated security assessment, remediation, and compliance in CI/CD pipelines and cloud environments.
  • Multi-Platform Cloud Integration experience, bridging AWS, Azure, and GCP platforms for modernization or migration projects.
  • Incident management and backlog oversight experience with skills around production support, incident resolution, and backlog refinement.
  • Knowledge of designing, securing, and implementing APIs for automating business and compliance processes.
  • Agile delivery experience, scrum certification, proficiency in Jira/Confluence, user story creation, requirements gathering, and backlog management.

Wages and Salary

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $116,200 to $229,100. You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, the individual, and organizational performance.

Information for applicants with a need for accommodation: https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html

Qualifications:

Delivery Management Engineer III- AI & Engineering

Join our AI & Engineering team in transforming technology platforms, driving innovation, and helping make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and re-engineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation.
AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.
Engineering as a Service provides complete design, implementation, and technology operations, leveraging our core engineering expertise. We transform engineering teams, modernize technology, and deliver complex programs with a product engineering approach. Our flexible delivery models-traditional teams, pools, or pods-are tailored to each client's needs, offering engineering-led advisory, implementation, and operational capabilities to accelerate innovation.

Recruiting for this role ends on 8/1/2026.

Work You'll Do

As a Delivery Management Engineer III, you will have hands-on technical skills as well as program and project management experience to drive technical projects and programs working directly with our onshore and offshore development and engineering teams. You'll bring a mix of hands-on technical expertise with the ability to drive projects to completion managing onshore and offshore teams. You will work directly with engineering teams, assisting with product and service delivery for AI, GenAI, and Cloud platform programs. You'll have full life-cycle project experience with specific technical skills enabling you to be a valued technical member of our engineering teams. You will manage small projects or workstreams of larger projects.

  • Product & Service Lifecycle Management: you will work with our product or service delivery teams for AI, GenAI, and Cloud platform programs; engaging with engineering teams.
  • CI/CD Pipeline Design & Automation: you will design and optimize CI/CD pipelines with cloud-native and open-source tools.
  • Technical Project/Program Management: you will help manage technical programs/projects with your structured planning, reporting, and risk management skills.
  • Requirements Management / Business Analysis: you will handle requirements documentation (FSDs), mapping business needs to technical solutions, and stakeholder communications.
  • Containerization & Orchestration: you will managing platforms like Kubernetes, Docker, ECS/EKS (multi-cloud preferred).
  • Stakeholder Communication & Leadership: you will drive proactive collaboration between PMOs, executives, technical partners, and DevOps teams.

Qualifications - Required Skills and Experience

  • 6+ years' experience in CI/CD pipeline design and automation with a proven track record designing and optimizing CI/CD pipelines with cloud-native and open-source tools.
  • Containerization & Orchestration - experience managing platforms like Kubernetes, Docker, ECS/EKS (multi-cloud preferred).
  • Infrastructure as Code (IaC) experience - 3+ years' experience in Terraform, with exposure to related monitoring/deployment tools such as Dynatrace, Splunk.
  • 6+ years' experience in product and lifecycle management with experience leading product or service delivery.
  • 6+ years' experience as a technical program or project manager which should include structured planning, reporting, and risk management responsibilities.
  • 6+ years' experience in requirements documentation (FSDs), mapping business needs to technical solutions, and stakeholder communications.
  • 6+ years' experience with Git workflows, GitHub/GitLab automation, and best practices for source control.
  • 6+ years' experience driving proactive collaboration between PMOs, executives, technical partners, and DevOps teams.
  • Bachelor's degree in computer science, software engineering, information technology or a related field.
  • Ability to travel up to 50% of the time, based on the work you do and the clients and industries/sectors you serve.
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.

Qualifications - Preferred Skills and Experience:

  • Strong fluency in Python scripting for automation, integrations, and tooling customization.
  • Release Train Engineering (RTE): Experience in environment oversight, migration, release management, and roadmap coordination in scaled agile settings.
  • 5+ years' experience in Cloud Program Management with hands-on expertise with cloud infrastructure provisioning and automation (AWS, Azure, GCP).
  • 5+ years' experience with DevSecOps including automated security assessment, remediation, and compliance in CI/CD pipelines and cloud environments.
  • Multi-Platform Cloud Integration experience, bridging AWS, Azure, and GCP platforms for modernization or migration projects.
  • Incident management and backlog oversight experience with skills around production support, incident resolution, and backlog refinement.
  • Knowledge of designing, securing, and implementing APIs for automating business and compliance processes.
  • Agile delivery experience, scrum certification, proficiency in Jira/Confluence, user story creation, requirements gathering, and backlog management.

Wages and Salary

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $116,200 to $229,100. You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, the individual, and organizational performance.

Information for applicants with a need for accommodation: https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html

Education:Bachelor's DegreeEmployment Type:

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