ETL Manual Tester

Date: 7 Oct 2026 Company:
QualityAI Country/Region: US

Are you interested in working with the World’s leading AI-powered Quality Engineering Company? Ready to advance your career, team up with global thought leaders across industries and make a difference every day? Join us at QualityAI!

We are looking for an ETL Manual Tester to join our growing team in United States

Location
- Remote (US)

• -3+ years of experience in Quality Engineering, ETL Testing, Data Validation, and Functional Testing
• -Strong experience with SQL for data analysis, validation, and reconciliation
• -Experience working with Databricks, data lakes, or cloud-based data platforms
• -Experience validating ETL/Data Pipeline transformations and data movement across systems
• -Experience utilizing AI prompts and validating AI/agent outputs
• -Ability to support multiple applications, data sources, and work streams simultaneously

• -Databricks
• -SQL (Advanced)
• -ETL/Data Warehouse Testing
• -Data Validation & Reconciliation
• -Source-to-Target Mapping Validation
• -Data Quality Testing
• -Azure Data Platform experience preferred
• -Azure Data Factory (ADF) experience preferred
• -Experience with Agile/Scrum delivery models
• -Familiarity with Azure Dev Ops (ADO), defects, user stories, and test management
• -Power BI data validation
• -PySpark exposure
• -Experience supporting energy, utilities, or large enterprise data transformation initiatives
• -AI/GenAI testing and validation experience

We are seeking a skilled and detail-oriented ETL Quality Engineering Consultant to support enterprise data initiatives and ensure the quality, accuracy, and reliability of data pipelines, integrations, and reporting solutions. The ideal candidate will possess strong testing and analytical skills with hands‑on experience in SQL, Databricks, ETL validation, and data quality assurance.

This individual will work closely with data engineers, developers, business analysts, and product teams to validate data transformations, reconcile source‑to‑target mappings, identify defects, and ensure high-quality delivery of data solutions.

• -Perform functional and data validation testing for ETL processes, data integrations, and analytics solutions.
• -Validate data movement, transformations, aggregations, and business rules across source and target systems.
• -Develop and execute test cases based on business requirements, user stories, and source-to-target mapping documents.
• -Perform data profiling, reconciliation, and root cause analysis using SQL queries and Databricks environments.
• -Validate data accuracy, completeness, consistency, and integrity across multiple applications and data platforms.
• -Identify, document, and track defects through resolution and retesting.
• -Collaborate with Data Engineers, Product Owners, Business Analysts, and Development Teams to resolve data quality issues.
• -Execute regression testing to ensure enhancements and releases do not negatively impact existing functionality.
• -Support testing of AI‑enabled solutions and validate AI‑generated outputs against business requirements.
• -Participate in Agile ceremonies including sprint planning, backlog refinement, and defect triage discussions.
• -Create and maintain test plans, test scenarios, test scripts, and execution reports.
• -Identify test data requirements and create, modify, or refresh data sets as needed.
• -Perform backend testing using SQL and data quality validation techniques.
• -Proactively identify data quality risks and recommend improvements to testing processes and controls.
• -Contribute to the development of automated validation approaches where practical.

• -Minimum of 3 years of experience in ETL Testing, Data Quality Engineering,…