Data Qa Engineer Remote Jobs in Plano, TX (NOW HIRING)

The US Oncology Network is looking for a Digital QA Engineer to join our team at Texas Oncology!

This is a remote position, but the candidate must reside in Texas.

As a part of The US Oncology Network, Texas Oncology delivers high-quality, evidence-based care to patients close to home. Texas Oncology is the largest community oncology provider in the country and has approximately 530 providers in 280+ sites across Texas, our founders pioneered community-based cancer care because they believed in making the best available cancer care accessible to all communities, allowing people to fight cancer at home with the critical support of family and friends nearby. Our mission is still the same today-at Texas Oncology, we use leading-edge technology and research to deliver high-quality, evidence-based cancer care to help our patients achieve "More breakthroughs. More victories." in their fight against cancer. Today, Texas Oncology treats half of all Texans diagnosed with cancer on an annual basis.

The US Oncology Network is one of the nation's largest networks of community-based oncology physicians dedicated to advancing cancer care in America. The US Oncology Network is supported by McKesson Corporation focused on empowering a vibrant and sustainable community patient care delivery system to advance the science, technology, and quality of care.

What does the Digital QA Engineer do?

The Senior Digital QA Engineer is responsible for ensuring digital solutions delivered through the Texas Oncology IT Digital Strategy and Delivery team meet quality, reliability, automation, and production readiness standards. This senior individual contributor role leads testing strategy and execution across system integration testing (SIT), user acceptance testing (UAT), test automation, API and integration testing, defect management, and release readiness activities.

The ideal candidate combines strong quality engineering expertise, hands-on automation experience, and healthcare technology knowledge to ensure solutions are scalable, secure, and aligned with clinical and operational workflows.

The ideal candidate for the position will have the following background and experience:

Education

• Bachelor's degree in Computer Science, Engineering, Information Technology, Healthcare Informatics, or a related field.

Experience

• Minimum 5 years of experience in quality assurance, software testing, quality engineering, or a related technology role.
• Experience leading testing efforts across enterprise applications, integrations, and digital platforms.
• Hands-on experience with test automation, API testing, integration testing, and regression testing.
• Experience working with cross-functional teams, vendors, and business stakeholders.
• Healthcare, clinical, oncology, patient access, scheduling, revenue cycle, or digital health technology environments.
• Testing multi-system solutions involving APIs, integrations, healthcare data exchange, and vendor platforms.
• Experience supporting QA governance, quality metrics, and release readiness processes.
• Exposure to AI, natural language processing, contact center technologies, or emerging digital platforms.

Technical Skills & Knowledge

• Strong knowledge of QA methodologies, SDLC, Agile delivery, SIT, UAT, and release management.
• Experience with test management tools such as Jira, Azure DevOps, or similar platforms.
• Hands-on experience with automation frameworks and tools such as Selenium, Playwright, Cypress, Postman, or equivalent.
• Experience with CI/CD-enabled testing and automated regression strategies.
• Strong understanding of API, integration, workflow, and data validation testing.
• Working knowledge of SQL and data quality validation techniques.
• Familiarity with healthcare interoperability standards (HL7, FHIR) and healthcare data workflows is preferred.

Physical Demands:

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job.  Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.  Requires full range of body motion including handling and lifting patients, manual and finger dexterity, and eye-hand coordination.  Requires standing and walking for extensive periods of time.  Occasionally lifts and carries items weighing up to 40 lbs.  Requires corrected vision and hearing to normal range. 

Work Environment:

The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job.  Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.  Exposure to communicable diseases, toxic substances, ionizing radiation, medical preparations and other conditions common to an oncology/hematology clinic environment.

The essential duties and responsibilities (including but not limited to):

• Develop and execute QA strategies, test plans, test cases, and risk-based testing approaches aligned with business and technical requirements.
• Lead SIT, UAT, regression, integration, API, and end-to-end testing activities across complex digital solutions.
• Design, develop, and maintain automated test suites to improve test coverage, efficiency, and release quality.
• Integrate automated testing into CI/CD pipelines and promote quality engineering best practices.
• Validate clinical, operational, and digital workflows, ensuring functionality, usability, data accuracy, and system reliability.
• Perform API, interface, and data validation testing across integrated applications and vendor solutions.
• Manage the full defect lifecycle, including triage, prioritization, resolution validation, and reporting.
• Establish quality metrics, testing standards, traceability, and release readiness criteria.
• Provide quality assessments, testing status, and risk recommendations to project and business stakeholders.
• Support production deployments, cutover activities, go-live validation, and post-implementation quality reviews.
• Drive continuous improvement of QA processes, automation capabilities, and testing governance.