The Senior Quality Assurance Engineer will bring comprehensive quality testing expertise to a growing and innovative organization, designing and documenting testing scenarios, creating test plans, and reviewing quality specifications and technical design for both existing and new analytics products.
The Sr. QA Engineer will be an integral part of our growing analytics product team, working with new technology in both manual and automation testing environments.
The Sr. Quality Assurance Engineer will design testing procedures to ensure our analytics meets established quality standards using best practices and industry standard practices.
Develops and writes testing scripts to ensure our analytics perform as expected while monitoring and documenting testing results according to best practice procedures.
Perform test execution (both manual and automated) for healthcare analytics including extraction and load processes, data transformations, data models, and dashboarding.
Create detailed, comprehensive, and well-structured test plans and test cases.
Collaborate closely with Data & Analytics team members to ensure that production system defects are documented, an appropriate testing plan is established, and defects are resolved in a timely manner.
Drive data quality programs and assist in the implementation of company automated test frameworks and solutions within an agile team structure.
Performs special projects and other duties as assigned.
Requirements
Bachelor’s degree in computer science, Information Technology, Data Science, Math, Finance, or a related field, or equivalent training and/or experience.
Minimum (5) years of experience as a quality assurance engineer or data analyst with strong data quality orientation.
Experience with testing in cloud-native systems (MS Fabric preferred).
QA related certifications preferred.
Strong understanding of US healthcare revenue cycle and billing.
Proficiency with using a variety of test case management tools in Azure DevOps and Agile development tools and process (Azure Dev Ops and Confluence).
Proven QA experience designing quality assurance testing for ELT process, dashboard tools (ideally Power BI), large scale data warehouse projects.
Knowledge of data quality frameworks, to monitor and enforce data quality standards.
Experience with automated testing tools.
Proven experience building test plans based on business requirements and technical specifications.
Benefits
eligible for our Ventra performance-based incentive plan
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