Remote QA Engineer — Healthcare Data & Analytics

Siftwell; Charlotte (NC); On-site; USD 110,000 - 150,000; Full time

Benefits offered by this job

Health insurance

401(k) plan

Unlimited paid time off

Professional development

Job summary

Siftwell is seeking a Quality Assurance Engineer to ensure the accuracy and reliability of healthcare data and software products. You will build automated data validation and support customer-facing analytics applications, triaging and reproducing bugs, and helping scale QA practices.

Reporting to the VP of Engineering, this role involves collaborating with Engineering, Data Science, Product, and Customer Success, with remote work available within the United States and ET business hours.

Qualifications

• Bachelor’s degree plus a minimum of 5 years of relevant work experience.
• Minimum 5 years in software quality assurance, data quality, test engineering, or related technical role.
• Experience designing automated API, backend, and end-to-end tests including data-validation frameworks.

Responsibilities

• Build and maintain automated validation processes for customer data inputs, transformations, and outputs.
• Replace manual checks with scalable automated QA methods.
• Investigate discrepancies across source data, processing logic, and delivered outputs.
• Develop and maintain test plans, test cases, regression tests, validation rules, and supporting documentation.
• Triage, reproduce, document, and track software bugs reported by customers and internal stakeholders.

Skills

Python

SQL

Playwright

Selenium

Vitest

pytest

QA

Data quality

Automation testing

Data validation

Education

Bachelor’s degree + 5 years experience

Master’s degree preferred

Tools

CI/CD tools

Testing frameworks

Job description

Siftwell is seeking a Quality Assurance Engineer to ensure the accuracy and reliability of healthcare data and software products. You will build automated data validation and support customer-facing analytics applications, triaging and reproducing bugs, and helping scale QA practices.

Reporting to the VP of Engineering, this role involves collaborating with Engineering, Data Science, Product, and Customer Success, with remote work available within the United States and ET business hours.