Data Quality Assurance Engineer

ClassWallet, a leading financial technology company in the United States, is seeking to hire a Data Quality Assurance Engineer to join our team.

ClassWallet is a financial technology company serving agencies delegated responsibility to manage public funds. Agencies use ClassWallet to get public funds to the right people, and ensure the funds are used for the right purpose. ClassWallet’s suite of products and services empowers agency administrators to dramatically increase efficiency of funds distribution and spend compliance, reduce programmatic costs, maximize the full potential impact of the program, and satisfy the needs and expectations of policymakers, constituents and public reporting. ClassWallet has processed over $3.5 Billion to date and serves public agencies across 33 states.

The Company has developed an industry-defining digital wallet solution which has gained rapid traction among state and local agencies and school districts across America. ClassWallet ranks as the 61st fastest growing software company on the prestigious Inc. 5000 list of fastest-growing private companies and the 21st fastest growing financial technology company on the Deloitte Technology Fast 500 in 2023.

While the Company delivers immense business value, the social impact of ClassWallet is a fabric that runs through its mission and corporate culture. As a result of ClassWallet’s innovation, public programs run with exponentially more efficiency and the impact and breadth of the programs for the individuals they serve is dramatically higher. This mission compliments the Company mission-based culture with focus on gratitude and work-life balance.

About the Role

We are seeking a highly skilled and motivated Data Quality Assurance Engineer with experience in business intelligence and data analytics to join our dynamic team. This role will be responsible for ensuring the integrity, accuracy, and reliability of data powering our business intelligence and analytics platform.

You will play a critical role in designing and implementing automated testing frameworks, monitoring data pipelines, and collaborating with cross-functional teams to define data quality standards, detect data drift and ensure the quality of our data deliverables.

Job Responsibilities

• Design, implement, and maintain automated data quality checks to validate accuracy, completeness, consistency, and timeliness across data pipelines and analytics layers.
• Implement proactive monitoring and alerting for data pipelines to detect anomalies, schema changes, or data drift.
• Validate business logic, calculations, aggregations and filters in BI tools to ensure alignment with business definitions.
• Perform end-to-end testing of data pipelines, including ingestion, transformation (ETL/ELT), semantic layers and reporting outputs.
• Conduct regression testing for schema changes, pipeline updates, and BI model modifications.
• Integrate data quality checks into CI/CD pipelines and production monitoring.
• Monitor data freshness, volume, and distribution to proactively detect and alert on failures or quality degradation.
• Partner with data engineering, analytics, and product teams to define data acceptance criteria and quality thresholds.

Requirements

• Bachelor’s degree in Computer Science, Data Science, Information Systems, or a related field (or equivalent experience).
• 5+ years of experience in data quality, analytics engineering, data engineering, or QA for data intensive systems.
• Experience with data quality or analytics testing frameworks.
• Strong command of SQL and experience validating large datasets in data warehouses.
• Familiarity with ETL/ELT processes and tools like Airflow or Snowflake.
• Experience testing BI dashboards, metrics, and analytical models.
• Solid understanding of agile methodologies.
• Excellent problem-solving skills with a focus on data profiling and statistical analysis.

Preferred Qualifications

• Experience with cloud platforms (AWS is highly preferred).
• Experience integrating data quality checks into CI/CD pipelines.
• Working knowledge of Python for data validation or automation.
• Familiarity with performance testing tools.
• Knowledge of data governance and compliance.
• Background in traditional QA automation or SDET roles.

We recognize that talent comes in many forms. If you meet most of the requirements above and are excited about this role, we encourage you to apply—even if you don't check every single box.

Benefits

ClassWallet is a positive, family-oriented team environment. Our focus is on encouragement, positive reinforcement, and gratitude. We work hard and are highly motivated to win but with a healthy perspective on life.

We offer an excellent salary and benefits commensurate with experience.

ClassWallet.com is proud to be an Equal Opportunity Employer. Applicants are considered for all positions without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, marital or veteran status.