Remote ETL QA Tester - Data Validation & SQL

Quality Ai; Northern (KY); Remote; USD 90,000 - 100,000; Full time

Benefits offered by this job

Competitive compensation

Remote work within US

401(k) plan

Healthcare benefits

Learning & Development

Job summary

QualityAI is seeking an ETL Manual Tester to join our remote United States team. You will validate ETL data pipelines, perform data quality checks, and ensure accurate reporting across Databricks and cloud platforms.

You will collaborate with data engineers, analysts, and product teams to maintain data integrity and enable AI-assisted testing. The role requires hands-on SQL, Databricks experience, and familiarity with data warehouse concepts.

Qualifications

• 3+ years in ETL Testing, Data Quality Engineering, QA, or related role.

Responsibilities

• Perform functional and data validation testing for ETL processes and analytics solutions.
• Validate data movement, transformations, and business rules across source and target systems.
• Develop and execute test cases from requirements and source-to-target mapping documents.
• Profile data, reconcile mappings, and identify defects for resolution and retesting.
• Collaborate with Data Engineers, Product Owners, Business Analysts, and Developers to resolve data quality issues.
• Execute regression testing to ensure enhancements do not impact existing functionality.
• Support testing of AI-enabled solutions and validate AI-generated outputs against requirements.

Skills

SQL proficiency

ETL testing

Data validation

AI prompts testing

Analytical skills

Education

Bachelor’s degree or equivalent

Tools

Databricks

Power BI data validation

Azure Data Factory

Azure data platform

Azure DevOps

PySpark

Job description

QualityAI is seeking an ETL Manual Tester to join our remote United States team. You will validate ETL data pipelines, perform data quality checks, and ensure accurate reporting across Databricks and cloud platforms.

You will collaborate with data engineers, analysts, and product teams to maintain data integrity and enable AI-assisted testing. The role requires hands-on SQL, Databricks experience, and familiarity with data warehouse concepts.