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Remote Software Testing Jobs in Houston, TX (NOW HIRING)

Data Engineer

Houston, TX · On-site +1

$95K - $130K/yr

Remote Base Salary Range: $95k - $130k General Position Description The Data Engineer is ... Apply software engineering best practices including testing, version control, and documentation

Sr. Innovation Software Engineer

Houston, TX · On-site +1

$117K - $154K/yr

The Senior Innovation Software Engineer will partner closely across the Innovation team to develop ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

Data Analyst

Houston, TX · Remote

$40 - $45/hr

NationMind LLC is a technology consulting firm focused on software development and QA testing ... Houston, TX or US Remote Duration: 6-12 months Skills: Data Analytics & Insights : ignio AIOps ...

Work alongside software engineers and data scientists, providing programming and infrastructure ... Implement rigorous integration testing, debugging, and deployment automation for cloud ...

Work alongside software engineers and data scientists, providing programming and infrastructure ... Implement rigorous integration testing, debugging, and deployment automation for cloud ...

Oracle WebCenter Sites Admin

Houston, TX · Remote

$21.75 - $27.50/hr

... and programming, software engineering, systems development, testing, integration, and ... 1.8 (Content, Remote Satellite, Community and Gadget Servers) o WebCenter Sites Clustering o ...

QA Engineering Team Lead

Houston, TX · Remote

$29K - $36K/yr

Identify, document, track, and communicate software defects using bug-tracking tools, ensuring timely resolution * Analyze testing metrics and results to provide insights and recommendations for ...

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Remote Software Testing information

See Houston, TX salary details

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How much do remote software testing jobs pay per hour?

As of Jul 13, 2026, the average hourly pay for remote software testing in Houston, TX is $41.55, according to ZipRecruiter salary data. Most workers in this role earn between $31.92 and $50.05 per hour, depending on experience, location, and employer.

What is remote software testing?

Remote software testing is the process of evaluating and verifying the functionality, performance, and security of software applications from a location outside the traditional office environment. Testers use various tools and platforms to access applications, execute test cases, report bugs, and collaborate with development teams online. This approach allows companies to leverage global talent, reduce costs, and offer flexible work arrangements while maintaining high-quality software standards.

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

To thrive as a Remote Software Tester, you need a solid understanding of software development lifecycle, test case design, bug reporting, and typically a degree in computer science or related fields. Familiarity with testing tools such as Selenium, JIRA, TestRail, and knowledge of automation frameworks or ISTQB certification is often required. Attention to detail, strong problem-solving skills, effective communication, and self-motivation are essential soft skills in this remote role. These skills ensure accurate testing, clear documentation, and seamless collaboration with distributed teams, leading to higher software quality.

What is the difference between Remote Software Testing vs Remote QA Analyst?

AspectRemote Software TestingRemote QA Analyst
CredentialsBasic testing certifications, knowledge of testing toolsTesting certifications, QA methodologies, sometimes degree in IT or related fields
Work EnvironmentRemote, often project-based, collaborative teamsRemote, involved in testing, documentation, and process improvement
Industry UsageSoftware development, tech companies, startupsSoftware companies, IT firms, product development teams
Search & Comparison IntentUnderstanding testing roles, entry-level testing jobsQA processes, quality assurance careers, detailed QA roles

Remote Software Testing focuses on executing test cases and identifying bugs, often requiring basic certifications and technical knowledge. Remote QA Analysts have a broader role, including testing, process analysis, and quality improvement, often with additional certifications. Both roles are remote and industry-specific, but QA Analysts typically engage in more comprehensive quality assurance activities.

How do remote software testers effectively communicate and collaborate with development teams?

Remote software testers typically use a variety of collaboration tools such as project management platforms, instant messaging, and video conferencing to stay connected with developers and other stakeholders. Clear, timely communication is essential for reporting bugs, sharing test results, and discussing requirements or issues. Regular stand-up meetings and detailed documentation help ensure everyone stays aligned, even when working across different time zones. Building strong relationships with team members and proactively raising concerns can also improve workflow and project outcomes.
What are the most commonly searched types of Software Testing jobs in Houston, TX? The most popular types of Software Testing jobs in Houston, TX are:
What are popular job titles related to Remote Software Testing jobs in Houston, TX? For Remote Software Testing jobs in Houston, TX, the most frequently searched job titles are:
What job categories do people searching Remote Software Testing jobs in Houston, TX look for? The top searched job categories for Remote Software Testing jobs in Houston, TX are:
What cities near Houston, TX are hiring for Remote Software Testing jobs? Cities near Houston, TX with the most Remote Software Testing job openings:

Data Engineer

Arva Intelligence

Houston, TX • On-site, Remote

$95K - $130K/yr

Other

Posted 25 days ago


Job description

Job Title:                          Data Engineer 

Department:                     Modeling & Analytics

Reports to:                       Lead Modeling Scientist

Location:                          Remote

Base Salary Range:        $95k - $130k

General Position Description

The Data Engineer is responsible for building and scaling the data and computational backbone that supports Arva's ecosystem modeling and measurement, reporting, and verification platforms. This role sits within a multidisciplinary Data Science team and focuses on designing reliable, auditable, and scalable data systems that enable biogeochemical modeling and optimization at production scale.

In this role, the Data Engineer will design and maintain production-grade data pipelines that integrate diverse datasets including field measurements, management practices, soils, and weather with process-based ecosystem models. The role plays a critical part in ensuring data quality, reproducibility, and traceability so that scientific outputs can be translated into trusted, credit-grade results with real-world impact.

Primary Job Responsibilities

Data Pipeline and Workflow Development

  • Design, implement, and maintain scalable data pipelines supporting ecosystem and biogeochemical modeling
  • Build reproducible workflows that generate standardized model inputs and manage outputs across space, time, and scenario analysis
  • Integrate heterogeneous datasets, including field data, management data, soil data, and weather data, into modeling pipelines

Cloud Infrastructure and Data Systems

  • Develop and maintain cloud-based infrastructure to support modeling pipelines and optimization workflows
  • Implement data storage solutions using relational, spatial, and object-based databases
  • Support efficient data access and processing using platforms such as PostgreSQL, PostGIS, and cloud object storage

Data Quality, Governance, and Auditability

  • Ensure data quality, versioning, traceability, and auditability to support measurement, reporting, and verification requirements
  • Implement validation and monitoring processes to ensure reliability of model inputs and outputs
  • Support transparent, repeatable workflows suitable for regulatory and credit market review

Software Engineering and Collaboration

  • Write clean, modular, and well-documented production code that supports maintainable and scalable data systems
  • Apply software engineering best practices including testing, version control, and documentation
  • Collaborate closely with Data Science and Technology teams to align data infrastructure with modeling, analytics, and production needs

Key Competencies / Requirements

  • 3+ years demonstrated experience building and maintaining data pipelines for large, complex, and heterogeneous datasets
  • Strong proficiency in Python and modern data engineering tools, with experience writing production-grade, testable code
  • Experience working with cloud platforms, with AWS strongly preferred
  • Familiarity with containerization tools such as Docker and version control systems such as GitHub
  • Experience with relational and spatial databases, including PostgreSQL and PostGIS
  • Experience working with geospatial data formats and spatial data processing
  • Experience supporting scientific or ecosystem modeling workflows preferred
  • Familiarity with workflow orchestration tools such as Airflow or Prefect preferred
  • Bachelor's or Master's degree or equivalent experience in Data Engineering, Computer Science, Environmental Informatics, or a related field