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.

Data Quality Engineer 

It is an exciting time to be part of the PatientPoint team! As the clear leader in the point-of-care industry, we offer an ideal, people-focused place to innovate, positively impact patient education and doctor-patient connections, and be inspired to build a great career.  
 
Location: Cincinnati/Hybrid 

Hybrid Schedule: 3 days in office / 2 days at home weekly

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 

• Experi