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Splunk Engineer Jobs in Dallas, TX (NOW HIRING)

Ekcel Technologies Inc

API Integration Engineer

Richardson, TX · On-site

$94K - $127K/yr

Experience with observability tooling, including Splunk, AppDynamics, Instana, or similar solutions ... Familiarity with SRE best practices, including error budgets, SLIs/SLOs, incident response, post ...

Kanak Elite Services Inc

Cloud Engineer

Plano, TX · On-site

$53.25 - $71.25/hr

Cloud Engineer Location : Plano, TX Onsite Duration : 6 Months to 1 year Interview : Must Be ... Configure and monitor cloud resources using Prometheus, Grafana, Dynatrace, Splunk, Datadog , and ...

1 point system

SOAR Engineer

Plano, TX · Remote

... Splunk SOAR/Phantom, Swimlane, Tines, Crowdstrike Fusion, Google Chronicle SOAR, or similar ... engineers on detection-to-response automation pipelines.

InfoTrellis

Full Stack Engineer

Roanoke, TX · On-site

InfoTrellis is a technology company, and they are seeking a Full Stack Engineer to work on both ... Splunk and Datadog • Strong communication skills with technical and non-technical teammates ...

Glow Networks

Release Triage Engineer

Dallas, TX · On-site

... ELK), Splunk, and Grafana for data visualization and monitoring • One of Scripting language ... DevOps solutions for operational improvement. • Compare the metrics globally across various ...

SysMind Tech

AWS Site Reliability Engineer/Devops

Dallas, TX · On-site

$52.50 - $70/hr

Job Title: Site Reliability Engineer Job Location: Dallas, TX Basic Qualifications * 5+ years of ... Experience with observability platforms like Splunk or ElasticSearch. * Experience in scripting ...

Mastech Digital

Full Stack Engineer

Westlake, TX · On-site

Profile: 70% front end, 30% backend engineer This is effectively a MEAN Stack (Dynamo DB in Lieu of ... Splunk and Datadog Strong communication skills with technical and non-technical teammates

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All JobsSplunk Engineer JobsSplunk Engineer Jobs in Dallas, TX

Splunk Engineer information

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.
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What are popular job titles related to Splunk Engineer jobs in Dallas, TX? For Splunk Engineer jobs in Dallas, TX, the most frequently searched job titles are:
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What cities near Dallas, TX are hiring for Splunk Engineer jobs? Cities near Dallas, TX with the most Splunk Engineer job openings:
Splunk Engineer jobs near you
Infographic showing various Splunk Engineer job openings in Dallas, TX as of July 2026, with employment types broken down into 93% Full Time, 4% Part Time, and 3% Contract. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution.

Senior Network/Operations - DevOps Engineer

Tiger Analytics Inc.

Plano, TX

$124K - $159K/yr

Full-time

Re-posted 5 hours ago

Job description

Tiger Analytics is looking for experienced Senior DevOps Engineer - Workday Financials to join our fast-growing advanced analytics consulting firm. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world.

We are seeking a Senior DevOps Engineer with strong experience in network operations, automation, and cloud infrastructure. This role sits at the intersection of software development and network engineering, focusing on building scalable automation solutions, improving observability, and ensuring high availability and performance across cloud-based environments.

The ideal candidate will bring deep Python expertise, hands-on AWS (ECS) experience, and strong monitoring/logging knowledge using Splunk and New Relic.

Key Responsibilities

  • Software Development
    • Develop and maintain Python-based tools for network automation, monitoring, and orchestration.
    • Build and manage APIs to support network operations and integrations.
    • Create and maintain automation scripts using Ansible.
    • Design reusable, scalable code for infrastructure and network management.
  • Network Design & Implementation
    • Support network architecture design ensuring high availability, security, and performance.
    • Implement cloud-native networking solutions within AWS (ECS-based environments).
    • Collaborate with infrastructure and security teams to optimize network configurations.
  • Automation & Infrastructure as Code
    • Build self-service tools to reduce manual operational overhead.
    • Drive automation initiatives to streamline deployments and configuration management.
    • Improve CI/CD workflows for network-related systems and tools.
  • Monitoring & Observability
    • Utilize Splunk and New Relic for logging, monitoring, alerting, and performance tuning.
    • Proactively identify system bottlenecks and reliability risks.
    • Establish operational dashboards and KPIs for network health.
  • Troubleshooting & Incident Management
  • Diagnose and resolve complex issues across software, infrastructure, and networking layers.
  • Support production systems and lead root cause analysis efforts.
  • Partner with cross-functional teams to remediate system vulnerabilities and improve resiliency. .

Requirements

    • Strong Python development experience.
    • Hands-on experience with AWS, specifically ECS.
    • Experience with Splunk and New Relic for monitoring and observability.
    • Experience with automation tools such as Ansible.
    • Solid understanding of networking concepts (TCP/IP, DNS, load balancing, firewalls).
    • Experience in DevOps practices including CI/CD pipelines.
    • Strong troubleshooting and problem-solving skills.

Benefits

Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.

Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.

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