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Datadog Jobs in Dallas, TX (NOW HIRING)

Noblesoft Technologies

Datadog SME

Frisco, TX · On-site

Datadog SME Location: Frisco, TX JD: * Candidate should be a SME for Datadog application. * Candidate should be hands on large scale Datadog implementation. * Candidate should be to review current ...

Info Way Solutions

SRE with Java Background

Dallas, TX · On-site

$56.50 - $75/hr

Required : • Experience in monitoring tools like DataDog • Experience with AWS ECS and EKS • High familiarity with ECS clusters/services • Experience with autoscaling policies • Performance ...

Sidram Technologies

SRE Lead

Plano, TX · On-site

$54.50 - $72.50/hr

The ideal candidate will have expertise in AWS, SRE, and Datadog, and a background in the automotive industry is a plus. This hybrid role requires a proactive individual who can design and implement ...

Mastech Digital

Full Stack Engineer

Roanoke, TX · On-site

... Datadog • Strong communication skills with technical and non-technical teammates Qualifications : Required : • Bachelor's / Master's degree or equivalent in Computer Science or Engineering • ...

Prolim Global

Senior Golang AWS Developer

Plano, TX · On-site

$115K - $149K/yr

The right candidate brings advanced knowledge of Golang microservices, MongoDB, Kubernetes, observability tools (OpenTelemetry and Datadog), and modern CI/CD practices. Key Responsibilities * Design ...

Kanak Elite Services Inc

Cloud Engineer

Plano, TX · On-site

$53.25 - $71.25/hr

Configure and monitor cloud resources using Prometheus, Grafana, Dynatrace, Splunk, Datadog , and similar tools. * Collaborate with networking teams to support service-to-service communication and ...

Copart, Inc.

Site Reliability Engineer Intern

Dallas, TX · On-site

$56.50 - $75/hr

Maintain and optimize a suite of monitoring and collaboration tools, including Datadog and Kubernetes-related observability tooling. * Conduct monthly security patching for operating systems and ...

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How much do datadog jobs pay per hour?

As of Aug 27, 2026, the average hourly pay for datadog in Dallas, TX is $20.88, according to ZipRecruiter salary data. Most workers in this role earn between $17.12 and $20.91 per hour, depending on experience, location, and employer.

What is a Datadog engineer?

A Datadog engineer is a professional who specializes in implementing, configuring, and managing Datadog, a cloud-based monitoring and analytics platform. They are responsible for integrating Datadog with various systems, setting up dashboards, alerts, and metrics to monitor application performance and infrastructure health. Their work helps organizations identify issues, optimize performance, and ensure system reliability. Datadog engineers often collaborate with DevOps, IT, and development teams to provide insights and improve observability across environments.

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

To thrive as a Datadog Engineer, you need a solid understanding of cloud infrastructure, monitoring and observability principles, and experience with scripting or programming languages. Familiarity with Datadog’s platform, API integrations, and certifications such as Datadog Certified Technical Specialist are highly valuable. Strong problem-solving skills, attention to detail, and effective communication help you proactively address system issues and collaborate with cross-functional teams. These skills ensure efficient system monitoring, rapid incident response, and reliable service performance in dynamic technology environments.

What are some common challenges faced by Datadog engineers when implementing monitoring solutions for large-scale systems?

Datadog engineers often encounter challenges such as integrating diverse technology stacks, ensuring minimal performance impact, and maintaining data accuracy across high-traffic environments. Large-scale systems can generate vast amounts of telemetry data, so configuring efficient dashboards and alerting without causing alert fatigue is vital. Collaborating closely with development, operations, and security teams is essential to tailor monitoring solutions that provide actionable insights while staying adaptable to evolving system architectures.

What is the difference between Datadog vs Cloud Monitoring Engineer?

AspectDatadogCloud Monitoring Engineer
Primary RoleMonitoring and analytics platform for IT infrastructure and applicationsDesigning, implementing, and managing cloud monitoring solutions
Required SkillsCloud platforms, monitoring tools, scripting, API integrationCloud services, monitoring tools, scripting, troubleshooting
CertificationsCloud certifications (AWS, Azure), monitoring tools certificationsCloud certifications (AWS, Azure), monitoring certifications
Work EnvironmentUsing SaaS platform, integrating with various cloud and on-premise systemsManaging cloud infrastructure, configuring monitoring tools, troubleshooting

While both roles involve cloud monitoring, Datadog focuses on utilizing a specific SaaS platform for analytics and monitoring, whereas a Cloud Monitoring Engineer designs and manages monitoring solutions across cloud environments. The roles often overlap in skills and certifications, but their core responsibilities differ in scope and focus.

What are popular job titles related to Datadog jobs in Dallas, TX?

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What job categories do people searching Datadog jobs in Dallas, TX look for?

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What cities near Dallas, TX are hiring for Datadog jobs?

Cities near Dallas, TX with the most Datadog job openings:

Datadog jobs near you
Infographic showing various Datadog job openings in Dallas, TX as of August 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 67% In-person, and 33% Hybrid job distribution, with an average salary of $43,431 per year, or $20.9 per hour.

Datadog SME

Noblesoft Technologies

Frisco, TX • On-site

Contractor

Re-posted 14 days ago

Job description

Role: Datadog SME

Location: Frisco, TX

JD:

  • Candidate should be a SME for Datadog application.
  • Candidate should be hands on large scale Datadog implementation.
  • Candidate should be to review current architecture and drive to implement.
  • Candidate should be able to recommend and implement best practices.
  • Candidate should be able to finetune and optimize Datadog monitoring
  • Datadog SME to Improve alerting, including SLO alert, and integration to SNOW
  • Datadog SME to Setup Correlation between network and application issues, Correlation between modules and provide more visibility.
  • Datadog SME to set up and improve dashboards including executive Dashboard