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Performance Tester Remote Jobs in Dallas, TX (NOW HIRING)

SW Engineer (DevOps)

Prosper, TX · Remote

$54 - $74/hr

Blue Bell, PA 100% Remote *Healthcare experience is a must You'll work with the development team to ... Create migration packages for system testing, user testing, and implementation. Job Requirements

COBOL Programmer

Dallas, TX · Remote

$55 - $60/hr

Remote (Must work PST hours) Travel: Up to 3 days per month onsite (expenses covered) Experience ... Testing & Troubleshooting: Perform unit testing, debug COBOL applications, and resolve system and ...

Showing results 21-40

Performance Tester Remote information

See Dallas, TX salary details

$10

$47

$68

How much do performance tester remote jobs pay per hour?

As of Aug 15, 2026, the average hourly pay for performance tester remote in Dallas, TX is $47.03, according to ZipRecruiter salary data. Most workers in this role earn between $37.12 and $55.38 per hour, depending on experience, location, and employer.

How does a remote performance tester typically collaborate with development and QA teams to ensure effective testing outcomes?

As a remote Performance Tester, you’ll frequently coordinate with development and QA teams through regular virtual meetings and collaborative tools like Jira or Slack. Clear communication is essential to understand application requirements, test objectives, and to report bottlenecks or performance issues quickly. You may also participate in sprint reviews or planning sessions to align your testing efforts with upcoming releases. Remote testers often share detailed test reports and provide recommendations, ensuring that teams can promptly address performance concerns and optimize application reliability.

What is the difference between Performance Tester Remote vs Performance Engineer?

AspectPerformance Tester RemotePerformance Engineer
CertificationsISTQB, CAST, or similar testing certificationsISTQB, GCP, AWS certifications often preferred
Work EnvironmentRemote, project-based testing teamsRemote or on-site, involved in system architecture
Primary FocusExecuting performance tests, identifying bottlenecksDesigning performance solutions, optimizing systems
Industry UsageSoftware testing, QA teamsDevOps, software development, system architecture

Performance Tester Remote roles focus on executing performance tests and identifying system bottlenecks, often within QA teams. Performance Engineers have a broader scope, including designing performance strategies and system optimization. Both roles may be remote but differ in responsibilities and required skills, with Performance Engineers typically involved in more technical and architectural tasks.

What is a performance tester remote?

Performance Tester Remote jobs involve evaluating the speed, responsiveness, and stability of software applications from a remote location. These professionals design and execute tests to simulate various user loads and identify performance bottlenecks. They often use specialized tools to monitor system behavior and report issues to development teams for optimization. Remote performance testers collaborate using online platforms and may work with global teams, ensuring software performs well under real-world conditions.

What are the key skills and qualifications needed to thrive as a performance tester remote?

To thrive as a Performance Tester (Remote), you need expertise in performance testing methodologies, scripting languages (such as Java or Python), and a solid understanding of software QA principles, often supported by a degree in computer science or a related field. Familiarity with tools like LoadRunner, JMeter, or Gatling, as well as experience with CI/CD pipelines and cloud platforms, is typically required. Strong analytical thinking, attention to detail, and effective communication are crucial soft skills, especially when working remotely with distributed teams. These skills and qualifications ensure accurate identification and resolution of performance bottlenecks, leading to reliable and scalable software applications.

What are the most commonly searched types of Performance Tester jobs in Dallas, TX?

The most popular types of Performance Tester jobs in Dallas, TX are:

What are popular job titles related to Performance Tester Remote jobs in Dallas, TX?

For Performance Tester Remote jobs in Dallas, TX, the most frequently searched job titles are:

What job categories do people searching Performance Tester Remote jobs in Dallas, TX look for?

The top searched job categories for Performance Tester Remote jobs in Dallas, TX are:

What cities near Dallas, TX are hiring for Performance Tester Remote jobs?

Cities near Dallas, TX with the most Performance Tester Remote job openings:

Senior Data Engineer - Remote

Vytwo

Prosper, TX • Remote

$55 - $60/hr

Full-time

Re-posted 13 days ago


Job description

Role: Senior Data Engineer
Remote Work
*Must be a US Citizen* & have a USA Passport
Primary Responsibilities:

  • Design, develop, and maintain scalable data pipelines using Python, PySpark, and other modern programming languages to support both batch and streaming workloads.
  • Build and optimize data processing frameworks on cloud platforms such as Databricks or Snowflake, ensuring performance, reliability, and cost efficiency
  • Design and implement robust data models, including transactional (OLTP) and dimensional (OLAP) schemas, to support analytics, reporting, and application integration
  • Develop high quality SQL code including complex queries, stored procedures, and views, with a focus on performance tuning and efficient data access patterns
  • Create and manage workflow orchestration using Apache Airflow or similar tools, ensuring reliable scheduling, dependency management, and monitoring
  • Implement and enforce data governance and metadata standards through tools such as Microsoft Purview, including data lineage, classification, cataloging, and security policies
  • Build automated data quality and validation frameworks to ensure accuracy, completeness, and reliability of production datasets
  • Collaborate with cross functional teams including data architects, analysts, scientists, and business stakeholders to understand requirements and deliver scalable, well designed data solutions
  • Lead technical design sessions and code reviews, promoting engineering best practices, reusability, and maintainability
  • Support cloud infrastructure and DevOps practices, including CI/CD pipelines, version control, testing automation, and environment management
  • Monitor and troubleshoot production data pipelines, proactively addressing issues, performance bottlenecks, and system failures
  • Contribute to the evolution of the enterprise data platform, recommending tools, frameworks, and architectures to improve scalability and efficiency
You’ll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.
Required Qualifications:

  • 7+ years of experience in data engineering, software engineering, or similar disciplines
  • Hands-on experience with Databricks or Snowflake
  • Experience with orchestration tools such as Apache Airflow
  • Experience working with cloud ecosystems (Azure preferred; AWS/GCP acceptable)
  • Advanced SQL skills and experience with OLTP and OLAP data modeling
  • Solid understanding of modern data warehousing, data lake, and ELT/ETL design patterns
  • Familiarity with data governance tools, especially Microsoft Purview
  • Solid programming expertise in Python, PySpark, or similar languages
  • If you are offered this position, you will be required to provide extensive personal information to obtain and maintain a suitability or determination of eligibility for a Confidential/Secret or Top Secret security clearance as a condition of your employment
  • Must be a US Citizen
Preferred Qualifications:

  • Healthcare industry experience, including claims, clinical, FHIR, HL7, or provider data
  • Experience with containerization (Docker, Kubernetes) for data workloads
  • Experience supporting machine learning workflows or analytical data science pipelines
  • Knowledge of distributed computing concepts and performance tuning

This is a remote position.