Quality Assurance Engineer - Data

We are seeking a senior-level Data QA Engineer III to ensure the accuracy, reliability, and trustworthiness of enterprise data solutions. This role focuses on validating data pipelines, transformations, semantic models, and BI/reporting outputs—not UI test automation. You will design automated data tests, implement monitoring and alerting, and partner closely with Data Engineering and BI teams to support confident, data-driven decision making.

This person must have strong automated testing experience specifically with back-end data pipelines. Not interested in Front-end or UI testing.
This position is not open to Visa sponsorship

Key Responsibilities
Translate data requirements into testable quality criteria in an Agile environment.
Design and maintain automated tests for ETL/ELT pipelines, transformations, and analytics outputs.
Write and optimize SQL-based data validations (counts, reconciliation, integrity, business rules).
Build and maintain regression test suites and deterministic test datasets.
Investigate and reproduce data quality issues; perform lineage analysis and root cause identification.
Implement data observability checks for freshness, volume, anomalies, and schema drift.
Integrate test automation with CI/CD pipelines and deployment workflows.
Track QA metrics and continuously improve data quality frameworks and processes.
Collaborate with engineers and BI partners; document standards and best practices.
Mentor team members and lead high-impact data quality initiatives.
Minimum Qualifications
Bachelor’s degree in a relevant field or equivalent experience.
Senior-level experience in data or backend QA (non-UI).
Expert SQL skills; strong experience with Python, JavaScript, or C#.
Experience with data testing tools (e.g., Great Expectations, Cypress).
Familiarity with CI/CD pipelines, Git, and Agile practices.
Strong analytical, communication, and problem-solving skills.
Preferred Qualifications
Experience with BI tools such as Power BI or Tableau.
Experience with data observability and monitoring solutions.
Salary Range: $100-125k
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