Q

Qualitest

AI-powered software testing and quality engineering

ETL Manual Tester

Manual & Functional QAConfirmed live in the last 24 hours
Full-timeRemote in USA

About the Job

Requirements

  • At least 3 years of experience in ETL testing, data quality engineering, quality assurance, or a related role.
  • Strong understanding of ETL processes, data warehousing concepts, and data quality principles.
  • Advanced SQL skills, including complex queries, joins, validations, and reconciliation analysis.
  • Hands-on experience with Databricks and large-scale data platforms.
  • Experience performing source-to-target validation and data lineage verification.
  • Experience in Quality Engineering, ETL testing, data validation, and functional testing.
  • Experience working with data lakes or cloud-based data platforms and validating ETL or data-pipeline transformations and data movement across systems.
  • Experience utilizing AI prompts and validating AI or agent outputs.
  • Ability to support multiple applications, data sources, and workstreams simultaneously.
  • Strong analytical and troubleshooting skills with attention to detail.
  • Written and verbal communication skills.
  • Ability to learn new business domains, applications, and datasets.

Responsibilities

  • 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 datasets as needed.
  • Perform backend testing using SQL and data quality validation techniques.
  • Identify data quality risks and recommend improvements to testing processes and controls.
  • Contribute to the development of automated validation approaches where practical.

Desired Qualifications

  • Experience with Azure data platforms.
  • Experience with Azure Data Factory.
  • Experience with Agile/Scrum delivery models.
  • Familiarity with Azure DevOps, defects, user stories, and test management.
  • Experience with Power BI data validation.
  • Exposure to PySpark.
  • Experience supporting energy, utilities, or large enterprise data transformation initiatives.
  • Experience with AI/GenAI testing and validation.

About the Company

Qualitest

AI-powered software testing and quality engineering

Qualitest provides software testing services powered by AI to help clients in healthcare, finance, and technology improve quality and speed up time to market. Its core product is Qualisense, an AI tool that enhances risk-based testing by prioritizing testing efforts, identifying high-risk areas, and optimizing test coverage. This allows Qualitest to automate and accelerate testing workflows, reduce costs, and improve operational efficiency for large, diverse enterprises worldwide. The company differentiates itself from competitors through its focus on AI-driven testing and risk-based strategies, enabling faster release cycles and better customer experiences. Qualitest aims to help organizations deliver reliable software quickly and at lower overall risk by combining specialized testing services with advanced AI-enabled tooling, primarily under long-term service contracts and partnerships.

Company size
1,001-5,000
Company stage
Acquired
Total funding
$497M
Headquarters
Fairfield, CT
Founded
1997

Recently Posted Jobs

Explore more opportunities at Qualitest

See more jobs