Data Quality Engineer

Join PatientPoint to be part of a dynamic team committed to empower better health. As a leading digital health company, we innovate to positively impact patient behaviors. Our purpose-driven approach offers an inspirational career opportunity where you can contribute to improving health outcomes for millions of patients nationwide.

Job Summary  
The Data Quality Engineer (QA) role will play a critical role in ensuring the accuracy, consistency, and reliability of data and analytics outputs within the organization. This role is responsible for developing and executing test strategies/plans, identifying data inconsistencies, and ensuring that analytics processes adhere to established quality standards. The ideal candidate has a strong background in data analysis, quality assurance methodologies, and experience with various data management and analytics tools. 

What You’ll Do  

• Collaborate with Product Owners/BA’s/Architects/QA lead in refinement and defining story acceptance criteria for controls-based software utilized in automated systems for material movement. 
• Analyze system requirements and review technical specifications to assess, evaluate, and create testing requirements for all Data components for functional and end-to-end scenarios. 
• Perform data validation, data integrity checks, and regression testing to ensure the accuracy of data and analytics outputs.  
• Collaborate and contribute to automation test system architecture, methodologies, and processes using industry best practices and innovation of testing framework. 
• Design, construct and maintain automated test reporting infrastructure for providing technical, project, and business visibility to software quality. 
• Work with data engineers/data scientists/analysts to understand data flows and models  
• Ensure data governance policies and standards are followed and suggest improvements.  
• Taking part in continuous improvement through sharing knowledge and coaching within the team. 
• Document QA processes, procedures, and outcomes to ensure transparency and knowledge sharing across the team.  
• Prepare and communicate QA reports, including findings, risks, and recommendations.  
• Maintain and update QA documentation with changes in data and analytics processes. 

What We Need  

• 4+ years of total professional experience 
• 3+ years of experience in Data Analytics, testing and test automation of Data Warehouse Quality rules. 
• Proven experience with SQL, data querying, and data analysis.  
• Strong communication skills, both written and verbal, with the ability to explain technical concepts to non-technical stakeholders.  
• Strong understanding of data structures, databases, and data governance principles.  
• Experience with Atlassian tools (JIRA, Confluence, etc.) 
• Experience with SQL language in one or more database platforms (MySQL, PostgreSQL, Oracle, or MS SQL) 
• Hands-on experience with Snowflake 

Desired Qualifications  

• Bachelor’s Degree 
• Experience with Python programming language.  
• Experience with dbt  
• Bachelor's degree in a relevant field such as Data Management, Information Systems, Business Analytics, or relevant experience   
• Familiarity with data visualization tools (e.g., Tableau, Looker) 

What You'll Need to Succeed  

• Self-motivation, strong ambition, and interest in directly impacting business results.  
• Critical thinking with the ability to identify and solve problems in a fast-paced environment.   
• The ability to empower others through data storytelling - translating complex data findings into compelling narratives. Comfortable not o