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Splunk Engineer Jobs in Colorado (NOW HIRING)

As a Software Engineer II on the Site Reliability Engineering team within the Platform Engineering ... Skilled in observability and incident response practices using tools such as Datadog, Splunk ...

DevOps Engineer

Denver, CO

$54.25 - $74.25/hr

... build engineering processes, product testing and staging environments, and a Linux-based ... Splunk, Spark, Nagios, Docker Skills Requirements: Strong verbal and written communication ...

Senior Cloud Detection Engineer

Denver, CO

$117K - $161K/yr

Design, build, and tune AWS security detections using Splunk * Reduce false positives and improve ... Test Engineering Shift: 1st shift (United States of America) Hours Per Week: 40 Pay Transparency ...

Senior DevOps Engineer

Denver, CO · On-site

$133K - $171K/yr

... Engineer Location: Denver, CO (Hybrid) Long Term Contract DUTIES AND RESPONSIBILITIES * 10+ years ... Knowledge on monitoring tools like Data Dog, Splunk and Kibana and build complex queries to support ...

Senior Cloud Detection Engineer

Denver, CO · On-site

$117K - $161K/yr

Design, build, and tune AWS security detections using Splunk * Reduce false positives and improve ... Test Engineering Shift: 1st shift (United States of America) Hours Per Week: 40 Pay Transparency ...

... s and Observability Engineer, on contract. The role covers infrastructure automation, CI/CD ... Splunk and/or ELK Stack (Elasticsearch, Logstash, Kibana) • Observability and alerting:

New

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 ... Integrate Elastic with enterprise tools such as SIEMs, Splunk, CrowdStrike, and other telemetry ...

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Showing results 1-20

Splunk Engineer information

See Colorado salary details

$65.9K

$117.6K

$164.3K

How much do splunk engineer jobs pay per year?

As of Jun 8, 2026, the average yearly pay for splunk engineer in Colorado is $117,592.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,663.00 and $134,611.00 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 Colorado? For Splunk Engineer jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Splunk Engineer jobs in Colorado look for? The top searched job categories for Splunk Engineer jobs in Colorado are:
What cities in Colorado are hiring for Splunk Engineer jobs? Cities in Colorado with the most Splunk Engineer job openings:
Infographic showing various Splunk Engineer job openings in Colorado as of May 2026, with employment types broken down into 94% Full Time, 4% Part Time, and 2% Contract. Highlights an 83% Physical, 7% Hybrid, and 10% Remote job distribution, with an average salary of $117,592 per year, or $56.5 per hour.
Software Engineer, Reliability

Software Engineer, Reliability

Checkr

Denver, CO • Remote

Other

Posted 26 days ago


Job description

As a Software Engineer II on the Site Reliability Engineering team within the Platform Engineering group at Checkr, you will identify reliability challenges impacting engineering teams and platforms and develop innovative solutions to resolve them. You will strive towards the right balance between enforcing standardization and accommodating tailored workflows. The person in this role will have the opportunity to demonstrate a degree of autonomy in their work and help with complex support requests, while having an impact across engineering.

What you'll do:

  • Design, build, ship, and maintain the core observability libraries, tools, and patterns used by all of Checkr's engineering teams
  • Troubleshoot complex production issues across the stack, with respect to performance, availability, and data quality
  • Participate in a cross-organization incident response team, driving continuous improvement
  • Contribute to architectural discussions within the SRE team and with cross-functional teams
  • Influence cross-team projects and the reliability roadmap to enable engineering and help Checkr customers
  • Provide consultation and feedback across teams to ensure we are building highly reliable, efficient, and scalable systems

What you bring:

  • Bachelor's degree in Computer Science or related field, or equivalent practical experience
  • 2+ years of software engineering experience, including 1+ years focused on reliability, scalability, and efficiency of distributed systems
  • Proficiency in Python (preferred), Go, or Ruby within Linux environments, and strong understanding of microservices, asynchronous systems, and remote APIs.
  • Experience developing and operating production, customer-facing systems in AWS or Azure using Kubernetes, Docker, and Terraform.
  • Skilled in observability and incident response practices using tools such as Datadog, Splunk, Grafana, Prometheus, and OpenTelemetry, with a focus on continuous improvement.
  • Strong collaboration, documentation, and communication skills, with experience leading small projects, promoting platform adoption, and fostering a self-service, product-first mindset.
  • An A-player mindset with a strong bias for action: you raise the bar, move with urgency, stay resilient through ambiguity, and take ownership to deliver meaningful outcomes.