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Splunk Software Engineer Jobs in Ohio (NOW HIRING)

As a Lead Software Engineer at JPMorgan Chase within the Consumer & Community Banking division, you ... g., Splunk, CloudWatch, Prometheus/Grafana, OpenTelemetry). * Practical understanding of LLM ...

As a Lead Software Engineer at JPMorgan Chase within the Consumer & Community Banking (CCB ... g., Splunk, CloudWatch, Prometheus/Grafana, OpenTelemetry). * Practical understanding of LLM ...

As a Lead Software Engineer at JPMorgan Chase within the Consumer & Community Banking division, you ... g., Splunk, CloudWatch, Prometheus/Grafana, OpenTelemetry). * Practical understanding of LLM ...

As a Lead Software Engineer at JPMorgan Chase within the Consumer & Community Banking division, you ... g., Splunk, CloudWatch, Prometheus/Grafana, OpenTelemetry). * Practical understanding of LLM ...

As a Lead Software Engineer at JPMorgan Chase within the Consumer & Community Banking division, you ... g., Splunk, CloudWatch, Prometheus/Grafana, OpenTelemetry). * Practical understanding of LLM ...

As a Lead Software Engineer at JPMorgan Chase within the Consumer & Community Banking division, you ... g., Splunk, CloudWatch, Prometheus/Grafana, OpenTelemetry). * Practical understanding of LLM ...

As a Lead Software Engineer at JPMorgan Chase within the Consumer & Community Banking division, you ... g., Splunk, CloudWatch, Prometheus/Grafana, OpenTelemetry). * Practical understanding of LLM ...

Senior Software Engineer

Columbus, OH · On-site

$118K - $156K/yr

Familiary with Kafka, Gaia Kubernetes Platform, Splunk, IntelliJ Nice to have: Cockraoch DB, UI/UX ReactJS Job Requirements Ability to understand big picture end-to-end use cases specifically for 2 V ...

Senior Software Engineer

Columbus, OH

$114K - $150K/yr

Familiary with Kafka, Gaia Kubernetes Platform, Splunk, IntelliJ Nice to have: Cockraoch DB, UI/UX ReactJS Job Requirements Ability to understand big picture end-to-end use cases specifically for 2 V ...

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Splunk Software Engineer information

See Ohio salary details

$60.4K

$140.3K

$195.4K

How much do splunk software engineer jobs pay per year?

As of Jun 15, 2026, the average yearly pay for splunk software engineer in Ohio is $140,250.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,100.00 and $164,500.00 per year, depending on experience, location, and employer.

What is the difference between Splunk Software Engineer vs Data Engineer?

AspectSplunk Software EngineerData Engineer
Required SkillsSplunk platform, scripting, data analysisSQL, ETL, data pipelines
Work EnvironmentIT, cybersecurity, analytics teamsData infrastructure, big data projects
CertificationsSplunk certifications, programmingCloud, Hadoop, Spark certifications

Splunk Software Engineers focus on developing and maintaining Splunk-based solutions for data analysis and security, while Data Engineers build and manage data pipelines and infrastructure. Both roles require strong technical skills, but Splunk Software Engineers specialize in Splunk tools, whereas Data Engineers work across various big data technologies.

How much do Splunk software engineers make?

Splunk software engineers typically earn a median annual salary ranging from $100,000 to $130,000, depending on experience, location, and skill level. Senior roles or those with specialized skills in data analysis and cloud environments can earn higher compensation, often exceeding $150,000 annually.

What engineers make $500,000?

Senior engineers in high-demand fields such as software, data engineering, or specialized roles like Splunk Software Engineers can earn $500,000 or more annually, especially with extensive experience, advanced skills, and in certain industries or companies. Compensation often includes base salary, bonuses, and stock options, particularly in tech firms or startups with high growth potential.

What are some typical challenges Splunk Software Engineers face when integrating Splunk with enterprise systems?

Splunk Software Engineers often encounter challenges when integrating Splunk with various enterprise systems, such as managing data ingestion from diverse sources, ensuring data normalization, and maintaining system performance at scale. It is common to work closely with IT, security, and operations teams to address compatibility issues and tailor dashboards or alerts to specific organizational needs. Staying up-to-date with Splunk add-ons and best practices can help mitigate these challenges and enable more seamless integration.

Is Splunk in high demand?

Splunk Software Engineers are in high demand due to the increasing need for data analysis, security, and IT operations tools. Skills in Splunk, along with knowledge of scripting and cloud environments, can improve job prospects as organizations seek professionals to manage and analyze large data sets.

What does a Splunk Software Engineer do?

A Splunk Software Engineer is responsible for designing, developing, and maintaining applications and solutions using Splunk, a powerful platform for searching, monitoring, and analyzing machine-generated data. They create custom dashboards, alerts, and reports to help organizations gain insights from their data and improve operational efficiency. Additionally, they often integrate Splunk with other systems, ensure data accuracy, and optimize system performance to support security, IT operations, and business intelligence initiatives.

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

To thrive as a Splunk Software Engineer, you need strong expertise in software engineering, data analytics, and Splunk platform administration, typically supported by a degree in computer science or related field. Familiarity with Splunk Enterprise, Splunk SPL (Search Processing Language), scripting languages like Python, and relevant certifications such as Splunk Certified Power User or Admin are highly valuable. Analytical thinking, problem-solving skills, and effective communication help you collaborate with stakeholders and resolve complex data challenges. These skills are crucial for efficiently managing data flows, ensuring security, and delivering actionable insights that support business goals.

Can I make 200k a year as a software engineer?

Senior Splunk Software Engineers with extensive experience, specialized skills in data analysis and scripting, and certifications can potentially earn salaries around or above $200,000 annually, especially in high-cost-of-living areas or within large organizations. Entry-level or mid-level roles typically earn less, and salary depends on factors such as location, company size, and individual expertise.
What are popular job titles related to Splunk Software Engineer jobs in Ohio? For Splunk Software Engineer jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Splunk Software Engineer jobs in Ohio look for? The top searched job categories for Splunk Software Engineer jobs in Ohio are:
Infographic showing various Splunk Software Engineer job openings in Ohio as of June 2026, with employment types broken down into 1% Internship, 5% As Needed, 27% Full Time, 11% Part Time, 6% Temporary, and 50% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $140,250 per year, or $67.4 per hour.
Software Engineer II - Splunk/CRIBL - W2 Role

Software Engineer II - Splunk/CRIBL - W2 Role

SVATS

Columbus, OH

Other

Posted 28 days ago


Job description

Role: Software Engineer II - Splunk/CRIBL - W2 Role

Location: Columbus, OH (Onsite)

As a Software Engineer II at client within Enterprise Platforms, you will administer and enhance our monitoring stack, focusing on Splunk and Cribl configurations, data pipelines, and telemetry quality. You will help ensure logs, metrics, and events flow reliably across environments, and you will contribute to building repeatable, automated approaches that scale.

Job responsibilities

  • Administer and maintain Splunk configurations across environments, including indexes, sourcetypes, inputs, and props/transforms
  • Build and optimize SPL searches, alerts, dashboards, and reports to support incident response and operational insights
  • Support the Splunk app and technology add-on lifecycle, including installation, upgrades, configuration, and user access management
  • Configure and manage Cribl Stream and/or Edge, including routes, pipelines, workers, and sources/destinations (for example, syslog, HTTP, Amazon S3, Splunk, and Kafka)
  • Implement parsing, enrichment, redaction, sampling, and suppression logic, and validate pipelines through testing and previewing outputs
  • Manage Cribl Packs, versioning, and promotions across environments, leveraging Git-based configuration workflows
  • Optimize telemetry data flow for cost and performance using filtering, routing-by-criteria, event shaping, and load balancing
  • Onboard new data sources end-to-end with documentation, standards, and appropriate access controls
  • Implement data quality controls such as field extraction standards, normalization approaches, schema alignment, and sensitive data redaction
  • Automate configuration deployment and validation using scripts and continuous integration/continuous delivery practices where applicable
  • Participate in incident triage and ingestion troubleshooting and contribute to an on-call rotation with support from senior engineers

Required qualifications, capabilities and skills

  • Formal training or certification on software engineering concepts and 2+ years applied experience
  • 4+ years of software engineering, site reliability engineering, or DevOps applied experience
  • Experience supporting Splunk fundamentals, including indexes, sourcetypes, inputs, props/transforms, and SPL for searches, alerts, and dashboards
  • Experience supporting Cribl Stream and/or Edge concepts, including sources, destinations, routes, pipelines, functions, and Packs
  • Experience with scripting or automation using Python, Bash, or PowerShell
  • Working knowledge of Linux and Git-based workflows
  • Understanding of logging and metrics fundamentals, including structured logging, log levels, cardinality, sampling, retention, and backpressure
  • Strong problem-solving skills, attention to detail, and ability to learn and operate effectively in production environments

Preferred qualifications, capabilities and skills

  • Experience with Splunk advanced capabilities such as scheduled searches, macros, lookups, KV store, performance tuning, and deployment operations
  • Experience designing Cribl pipelines using functions such as parsing, evaluation, redaction, serialization, sampling, suppression, and regular expression-based extraction
  • Experience integrating common observability sources and destinations such as syslog, Windows Event Forwarding, Fluent Bit, Kafka, Amazon S3, Splunk HTTP Event Collector, Elastic, or Datadog
  • Exposure to additional observability tools such as Grafana or Elastic
  • Experience with continuous integration/continuous delivery for observability assets and configuration-as-code with automated validation
  • Basic networking and security knowledge, including TLS, certificates, proxies, firewalls, HTTP headers, and authentication patterns