1

Datadog Jobs in Riverview, FL (NOW HIRING)

Site Reliability Engineer

Tampa, FL

$53.75 - $71.50/hr

\n \n \n Looking for an SRE experienced in monitoring and observability using Prometheus, Grafana, ELK Stack, DataDog, and Sentry. You will assist in converting clients off of Datadog to an Otel ...

Engineer III - Software

Clearwater, FL · Remote

$50.75 - $68.25/hr

Use Datadog to understand how your services behave in production. * Collaboration: Work closely with Product, UX, and QA to turn requirements into working software -- and ask clarifying questions ...

Experience with monitoring tools such as Splunk, Datadog, Grafana, or ELK Stack. * Understanding of API Gateway, Service Mesh, OAuth2, JWT, and application security. * AWS or Azure certification is a ...

CloudWatch, Datadog, and observability tooling. * Experience with AI-native software development. Why Symple Lending * Competitive compensation and comprehensive benefits. * Medical, dental, and ...

... Datadog, Cribl, etc. At least 2+ years of experience in Data Lake and data warehouse using products such as AWS S3, Snowflake, Databricks, etc. Experience with scripting is highly preferred like ...

Senior Database Administrator

Tampa, FL · On-site +1

$111K - $139K/yr

Familiarity with monitoring tools like Prometheus, Grafana, or Datadog* Certifications in SQL Server, MongoDB, Elasticsearch, or Azure* Experience with multi-region and globally distributed ...

Experience with Infrastructure as a Code (Terraform), containerization (Docker, Kubernetes), CI/CD (Jenkins, Circle CI), and operational tools (ServiceNow, DataDog)* Experience with modern ...

next page

Showing results 1-20

Datadog information

See Riverview, FL salary details

$12

$18

$26

How much do datadog jobs pay per hour?

As of Aug 27, 2026, the average hourly pay for datadog in Riverview, FL is $18.83, according to ZipRecruiter salary data. Most workers in this role earn between $15.43 and $18.85 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 job categories do people searching Datadog jobs in Riverview, FL look for?

The top searched job categories for Datadog jobs in Riverview, FL are:

What cities near Riverview, FL are hiring for Datadog jobs?

Cities near Riverview, FL with the most Datadog job openings:

Infographic showing various Datadog job openings in Riverview, FL as of August 2026, with employment types broken down into 90% Full Time, 7% Part Time, and 3% Contract. Highlights an 68% Physical, 10% Hybrid, and 22% Remote job distribution, with an average salary of $39,158 per year, or $18.8 per hour.

$53.75 - $71.50/hr

Contractor

Re-posted 26 days ago


Job description

\n <\/head>\n \n

Looking for an SRE experienced in monitoring and observability using Prometheus, Grafana, ELK Stack, DataDog, and Sentry. You will assist in converting clients off of Datadog to an Otel solution using an advanced AI tool.    <\/span>
<\/p>\n

\n
\n <\/div><\/span>
Requirements<\/h3>\n
\n Prometheus, Grafana, ELK Stack, DataDog, and Sentry, DataDog, oTel Solutions experience<\/span>
\n <\/div><\/span>
\n <\/body>\n<\/html>