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Data Quality Assurance Engineer

3 weeks, 4 days ago
United States
Full-time
Senior
QA Engineer
Data Science and Analytics
Agile Apache Airflow AWS CI/CD Python Snowflake SQL
Apply Now
ClassWallet

ClassWallet

ClassWallet revolutionizes school finance with a virtual wallet solution, streamlining payments and connecting funders, buyers, and suppliers in a paperless environment to save billions in transaction costs.

Diversified Financial Services
11-50
Founded 2014
$104M raised
View All Jobs 8

Description

  • Design, implement, and maintain automated data quality checks across data pipelines and analytics layers.
  • Implement proactive monitoring and alerting to detect anomalies, schema changes, and data drift.
  • Validate business logic, calculations, aggregations, and filters in BI tools against business definitions.
  • Perform end-to-end testing of data pipelines, including ingestion, transformation, 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 detect failures or quality degradation.
  • Partner with data engineering, analytics, and product teams to define 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.
  • Experience with cloud platforms, with AWS 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.

Benefits

  • Positive, family-oriented team environment.
  • Culture of encouragement, positive reinforcement, gratitude, and work-life balance.
  • Excellent salary and benefits commensurate with experience.
  • Equal Opportunity Employer status with inclusive hiring practices.

Interested in this position?

Apply directly on the company website

Apply Now

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