Ventra is a leading business solutions provider for facility-based physicians practicing anesthesia, emergency medicine, hospital medicine, pathology, and radiology. Focused on Revenue Cycle Management, Ventra partners with private practices, hospitals, health systems, and ambulatory surgery centers to deliver transparent and data-driven solutions that solve the most complex revenue and reimbursement issues, enabling clinicians to focus on providing outstanding care to their patients and communities. Come Join Our Team! As part of our robust Rewards & Recognition program, this role is eligible for our Ventra performance-based incentive plan, because we believe great work deserves great rewards. Help Us Grow Our Dream Team — Join Us, Refer a Friend, and Earn a Referral Bonus! Job Summary 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. Essential Functions and Tasks 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. Education and Experience 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. E Experience with testing in cloud-native systems (MS Fabric preferred) Preferred qualifications QA related certifications preferred. Strong understanding of US healthcare revenue cycle and billing. Knowledge, Skills, and Abilities 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 The ability to test the performance and scalability of data systems, especially when handling large volumes of data. This includes checking for speed, reliability, and system bottlenecks in data processing and analytics. Expert SQL in relational databases (SQL Server, MS Fabric) with the ability to independently explore, query, and validate data. Ability to read and understand existing queries as well as create new queries. Strong analytical skills. Strong process improvement & organizational skills. Strong time management skills. Working knowledge of project management specifically Azure DevOps. Ability to identify opportunities that drive execution of action plans to close gaps and move key priorities forward. Ability to influence and gain support from stakeholders through effective communication and relationship building. Ability to communicate technical information to technical and nontechnical personnel at various levels in and across the organization. Ability to exercise sound judgment and handle highly sensitive and confidential information appropriately. Ability to remain results oriented and work within a collaborative and dynamic high paced environment. Compensation Base Compensation will be based on various factors unique to each candidate including geographic location, skill set, experience, qualifications, and other job-related reasons. This position is also eligible for a discretionary incentive bonus in accordance with company policies.
Job Title
Senior Data & Analytics Quality Engineer