
Data QA
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Overview
Job Description
- Design and execute automated tests for ETL/ELT pipelines, transformations, and downstream analytics
- Write and optimize SQL-based validations (reconciliation, integrity, business rules, anomaly detection)
- Build and maintain regression test suites for critical datasets and dashboards
- Create deterministic test datasets and golden expected results
- Investigate data issues end-to-end, from BI reports back to source systems
- Integrate test automation into CI/CD pipelines and deployment workflows
- Implement data observability and alerting for freshness, volume, distribution, and schema drift
- Define and track QA effectiveness KPIs
- Collaborate closely with Data Engineering and BI teams
- Mentor team members and help establish QA standards and best practices
- Bachelor’s degree or equivalent professional experience
- Strong experience with automated testing for back-end systems (no UI focus)
- Expert-level SQL and experience with Python, JavaScript, or C#
- Experience with data testing frameworks (Great Expectations strongly preferred)
- Experience validating ETL/ELT pipelines and analytics outputs
- Familiarity with CI/CD tools (Jenkins, Git)
- Experience supporting BI tools such as Power BI or Tableau
- Strong analytical, communication, and collaboration skills
- Great flexibility - Hybrid role with 2 days onsite per week.
- You’ll have real ownership over how data quality is implemented, monitored, and scaled across the organization. Your work will directly impact decision-making at the highest levels, and you’ll be trusted to lead data QA initiatives that matter.
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Contact: kkerr@judge.comAutomate your job search with Sonara.
Submit 10x as many applications with less effort than one manual application.
