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Remote Usability Testing Jobs in Richmond, VA (NOW HIRING)

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Remote Usability Testing information

See Richmond, VA salary details

$80.2K

$105.3K

$179.1K

How much do remote usability testing jobs pay per year?

As of Aug 29, 2026, the average yearly pay for remote usability testing in Richmond, VA is $105,274.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,500.00 and $99,000.00 per year, depending on experience, location, and employer.

What is remote usability testing?

A Remote Usability Testing job involves evaluating websites, apps, or digital products from a user's perspective to identify usability issues. Testers complete tasks, provide feedback, and sometimes participate in recorded sessions while interacting with the product. Companies use this feedback to improve user experience. These jobs are often freelance, project-based, and require no specialized skills beyond following instructions and giving clear feedback.

What does a typical workday look like for someone in remote usability testing?

A typical day in Remote Usability Testing involves planning and conducting tests on websites, apps, or digital products by assigning tasks to users, observing their interactions, and collecting feedback. You may spend time analyzing recorded sessions, documenting usability issues, and compiling comprehensive reports for UX or development teams. Collaboration is often required with designers, product managers, and developers to discuss findings and recommend improvements. The work is primarily independent and remote, but regular virtual meetings or feedback sessions are common to ensure alignment with broader project goals. This structure provides both autonomy and opportunities for impactful contributions to the product development process.

What are the key skills and qualifications needed to thrive in remote usability testing?

To thrive in Remote Usability Testing, you need strong analytical skills, a keen eye for user experience (UX) design, and the ability to evaluate digital products or interfaces, typically supported by a background in UX, HCI, or related fields. Familiarity with usability testing tools (such as UserTesting, Lookback, or Optimal Workshop), screen recording software, and possibly UX certification are often advantageous. Excellent communication, attention to detail, and the ability to provide clear, actionable feedback are crucial soft skills. These competencies ensure accurate testing, valuable user insights, and effective collaboration with product teams to improve digital experiences.

What are the most commonly searched types of Usability Testing jobs in Richmond, VA?

The most popular types of Usability Testing jobs in Richmond, VA are:

What are popular job titles related to Remote Usability Testing jobs in Richmond, VA?

For Remote Usability Testing jobs in Richmond, VA, the most frequently searched job titles are:

What job categories do people searching Remote Usability Testing jobs in Richmond, VA look for?

The top searched job categories for Remote Usability Testing jobs in Richmond, VA are:

What cities near Richmond, VA are hiring for Remote Usability Testing jobs?

Cities near Richmond, VA with the most Remote Usability Testing job openings:

Remote Usability Testing jobs near you

Senior Databricks Data Engineer - Data Platform & Medallion Architecture 3657895

Richmond, VA • Remote

Axiom Path
Recruiting and Staffing Services • 51 - 200 employees
Learn more about Axiom Pathexternal

$90 - $97/hr

Full-time, Contractor

Posted 8 days ago

Job description

Be Part Of A High-Performing Team

Join a data engineering organization that is modernizing enterprise data capabilities and building scalable solutions to improve how critical business information is ingested, standardized, governed, and consumed. The team is expanding its use of Databricks to create reusable engineering frameworks, modern data models, observability capabilities, and advanced analytics solutions.

This role will work closely with architects, technical leads, business partners, and distributed engineering teams while contributing directly to new Databricks capabilities. Projects include data pipeline modernization, medallion architecture, underwriting-data analytics, data-quality frameworks, and emerging AI-enabled capabilities such as intelligent document processing.

What's In Store For You

  • Engagement: W2 only (no C2C/1099)
  • Work model: Fully remote within the U.S., working Eastern Time hours
  • Preference for candidates located in or near Richmond, Virginia
  • Contract-to-hire opportunity
  • Opportunity to help define reusable Databricks engineering standards and frameworks used across multiple teams
  • Exposure to newer Databricks capabilities, including AI-assisted development and intelligent document processing
  • Broad ownership across requirements, development, testing, deployment, documentation, and production support

How You Will Make An Impact

  • Design, develop, and enhance enterprise-scale data solutions using Databricks and medallion architecture.
  • Build reusable frameworks and common functions that standardize data ingestion, transformation, validation, repair, and pipeline monitoring.
  • Develop Bronze, Silver, and Gold data layers that improve the usability, consistency, and accessibility of enterprise data.
  • Create dimensional data structures, including facts, dimensions, derived attributes, and SCD Type 2 implementations.
  • Develop and orchestrate both batch and streaming data pipelines.
  • Partner with business stakeholders to translate high-level data requirements into technical solutions.
  • Collaborate with architects and technical leadership on solution design and engineering standards.
  • Perform hands-on development, unit testing, system integration testing, debugging, and production support.
  • Build solutions that improve pipeline observability, SLA monitoring, data quality, and operational transparency.
  • Optimize Databricks compute and storage performance.
  • Develop documentation, training materials, and reusable guidance so other engineering teams can adopt frameworks and capabilities.
  • Explore newer Databricks functionality such as Intelligent Document Processing, Genie, and self-service workspace capabilities and establish practical implementation patterns.

Do You Have the Expertise to Lead in Databricks Data Engineering?

  • Minimum 3 years of full-time, hands-on Databricks experience within Azure or AWS environments.
  • Strong experience implementing the medallion architecture, including Bronze, Silver, and Gold data layers.
  • Expert-level SQL skills.
  • Intermediate or stronger PySpark programming experience.
  • Demonstrated experience creating reusable data engineering frameworks, common functions, or standardized pipeline components.
  • Hands-on experience creating dimensional models, fact tables, dimensions, derived business values, and SCD Type 2 structures.
  • Strong Databricks orchestration experience supporting batch and streaming pipelines.
  • Experience with Databricks capabilities such as Unity Catalog, Spark UI, job scheduling, Lakeflow, and data quality expectations.
  • Proven experience with unit testing, SIT, UAT support, debugging, and troubleshooting data defects.
  • Experience optimizing Databricks compute and storage.
  • Strong understanding of CI/CD, Git-based development, and automated deployment processes.
  • Experience working within Agile environments, including user stories, technical task definition, and effort estimation.
  • Ability to communicate effectively with business users, architects, engineering teams, and onshore/offshore partners.
  • Strong problem-solving, design-thinking, teamwork, and documentation skills.
  • Candidates with 5+ years of Databricks experience and experience building major platform capabilities from scratch are strongly preferred.
  • Insurance data, data governance, or data observability experience is beneficial.