Senior Data Quality Assurance Engineer

$100,983 - $136,624/Yr

Southern New Hampshire University - Remote, OR

Full-time - Mid Level

Remote - Remote, OR

10,001+ employees

Educational Services

About the position

The Sr. Data Quality Assurance Engineer at Southern New Hampshire University is a key member of the Data Services team, responsible for ensuring the accuracy, accessibility, and quality of business-applicable data. This role involves thorough testing of data transformations, ETL processes, and data services to support data-driven decisions and strategic programs. The position allows for 100% remote work within approved states and requires collaboration with various stakeholders to maintain high data quality standards.

Responsibilities

• Test data transformations, ETL processes, and data services for accuracy, completeness, and performance.
• Collaborate with database administrators, data engineers, and other partners to understand data requirements and system architecture.
• Participate in testing and validating emergency production bug fixes.
• Assume a leadership role in special testing projects and tasks.
• Ensure documentation is up to date and follows set standards.
• Ensure deliverables meet functional and design specifications and requirements.
• Follow data quality assurance standards, processes, and best practices.
• Develop and automate test suites for data quality, metadata, regression, smoke, functionality, and performance.
• Analyze changes and update test cases accordingly.
• Log defects in a detailed and reproducible manner and track them through closure with the Development team.
• Provide guidance and recommendations for data quality improvements and data governance programs.
• Communicate testing status effectively to the team.
• Mentor user acceptance testers and fellow QA engineers, and assist in onboarding new team members.

Requirements

• 7 years of database development or data Quality Assurance experience in a quantitative, data-driven business environment.
• 2 years' experience in data Quality Assurance testing.
• Knowledge of data quality assurance best practices in a data services environment.
• High-level understanding of relational database architecture and data warehousing.
• High proficiency in SQL programming for SQL Server, including complex queries and scripts for data validation.
• Experience with Visual Studio using C# unit testing.
• Knowledge of Software Development Life Cycle (SDLC) best practices, including Kanban and Agile methodologies.
• Experience with Azure Data Factory, including developing and monitoring pipelines.

Nice-to-haves

• Experience with Azure DevOps, including Boards and Git source code control.
• Knowledge of data quality management principles.
• Experience in defect tracking and release management.
• Lead experience in manual and automated testing tasks.

Benefits

• High-quality, low-deductible medical insurance
• Low to no-cost dental and vision plans
• 5 weeks of paid time off plus almost a dozen paid holidays
• Employer-funded retirement
• Free tuition program
• Parental leave
• Mental health and wellbeing resources