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Splunk Data Engineer Jobs (NOW HIRING)

GIGATEC Engineering

This role is centered on Splunk development, including SPL, dashboards, reports, data onboarding, field extractions, alerting, and event correlation. You will combine software engineering, Linux ...

RIT Solutions, Inc.

Splunk Engineer

Mclean, VA · On-site

The role involves managing Splunk Enterprise, automating infrastructure, and troubleshooting ... Implementation knowledge in data processing pipelines using programming languages like Java and ...

Snowrelic Inc

Data Engineer

Richmond, VA · On-site

$113K - $136K/yr

Monitor systems and application health using observability tools such as New Relic or Splunk ... Apply best practices in cloud data engineering, including security and compliance standards.

V2X

Data Engineer

Herndon, VA · Hybrid

$117K - $141K/yr

Responsibilities As a Data Engineer, you are responsible for designing data models, building data ... Splunk familiarization * Python * This position requires an active TS/SCI with Polygraph clearance ...

VTG

Data Engineer Expert

Herndon, VA · Hybrid

$117K - $141K/yr

... Leverage Splunk and similar platforms to support data analysis, monitoring, and operational ... Information Technology, Engineering, or related field preferred • Minimum of 11 years of ...

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Splunk Data Engineer information

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How much do splunk data engineer jobs pay per year?

As of Sep 10, 2026, the average yearly pay for splunk data engineer in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.

What is a Splunk data engineer?

A Splunk Data Engineer is a technology professional who specializes in configuring, managing, and optimizing Splunk, a powerful data analytics and monitoring platform. They are responsible for ingesting, parsing, and transforming large volumes of machine data from various sources into Splunk, enabling organizations to gain valuable insights and improve operational efficiency. Splunk Data Engineers also develop and maintain dashboards, alerts, and reports, as well as ensure data quality, security, and scalability within the Splunk environment.

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

To excel as a Splunk Data Engineer, you need strong expertise in data analytics, log management, and scripting languages such as Python or Shell, often supported by a bachelor's degree in computer science or a related field. Familiarity with Splunk Enterprise, Splunk Search Processing Language (SPL), and relevant certifications like Splunk Core Certified Power User or Splunk Certified Admin are highly valued. Problem-solving, attention to detail, and effective communication are notable soft skills that help in collaborating with cross-functional teams and resolving complex data issues. These competencies are essential for effectively managing and optimizing data pipelines, ensuring reliable insights, and supporting business decision-making.

What are some common challenges Splunk data engineers face when integrating new data sources into Splunk environments?

Splunk Data Engineers often encounter challenges such as parsing unstructured data, ensuring data consistency, and managing data ingestion performance when integrating new sources. They may need to create or adjust data onboarding pipelines, develop custom parsing rules, and work closely with IT and security teams to maintain data integrity and compliance. Addressing these challenges requires a strong understanding of both Splunk's data models and the specific characteristics of the source systems.

Is Splunk in high demand?

Splunk Data Engineers are in high demand due to the increasing need for data analysis, security monitoring, and IT operations management. Organizations seek professionals skilled in data ingestion, search processing language (SPL), and cloud environments, often requiring certifications and experience with large-scale data systems.

What cities are hiring for Splunk Data Engineer jobs?

Cities with the most Splunk Data Engineer job openings:

What states have the most Splunk Data Engineer jobs?

States with the most job openings for Splunk Data Engineer jobs include:

What are popular job titles related to Splunk Data Engineer jobs?

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

Infographic showing various Splunk Data Engineer job openings in the United States as of September 2026, with employment types broken down into 68% Full Time, and 32% Contract. Highlights an 82% In-person, 4% Hybrid, and 14% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

Splunk Metrics and Monitoring Software Engineer

On-site

GIGATEC Engineering
See more jobs at GIGATEC Engineeringexternal

Other

Medical, Retirement

Posted 23 days ago

Job description

Perks and Benefits

  • 100% Paid Healthcare
  • 10% 401k in every paycheck
  • 100% Fully Vested!

NOTE – Our positions require a Top Secret clearance, as well as the favorable completion of a polygraph. Applicants must be authorized to work in the U.S. We are unable to sponsor an employment Visa.

What You’ll Be Doing (We don’t love the bullet points, but we love the work!)

Build and sustain a distributed metrics and monitoring solution that helps ensure HPC infrastructure remains reliable, scalable, and observable. This role is centered on Splunk development, including SPL, dashboards, reports, data onboarding, field extractions, alerting, and event correlation. You will combine software engineering, Linux automation, log management, CI/CD, and infrastructure-as-code practices to deliver actionable visibility across high-performance computing environments.

Required Skills
  • Experience using the Linux CLI and the Linux suite of tools
  • Experience developing Shell/Perl scripts to automate manual processes
  • Recent software development experience using Python
  • Experience with Splunk SPL, dashboard creation, and report development
  • Experience with Splunk data onboarding, field extractions, data models, and performance tuning
  • Experience with Splunk alerting, incident management workflows, and event correlation
  • Familiar interfacing with Log Management tools including Syslog-ng and rsyslog
  • Familiar Message Brokers such as Kafka
  • Experience with IaC (Infrastructure as Code) principles and automation tools including Ansible
  • Experience with CI/CD principles, methodologies, and tools such as GitLab CI
  • Experience with Git Source Control System
Desired Skills
  • Experience with the Atlassian Tool Suite (JIRA, Confluence)
  • Appreciates a sense of humor and the occasional well-timed joke.
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