Data QA Engineer — Quality Assurance for Data Pipelines

Globus family of brands; United States; On-site; USD 95,000 - 110,000; Full time

Benefits offered by this job

Travel benefits

Retirement plan

Job summary

Globus family of brands seeks a Data Quality Assurance Engineer to plan, design, and execute tests ensuring accuracy, completeness, and reliability of enterprise data solutions. You will validate pipelines, transformations, and reports, partnering with data engineers, analytics engineers, and stakeholders to ensure release readiness.

The role emphasizes data quality, traceability, and adherence to business rules across source-to-target paths, with a strong focus on automated testing and

Qualifications

• 5+ years of quality assurance experience focused on data platforms, data integration, analytics, or data migration.
• Experience testing data pipelines, ETL processes, data warehouses/lakes, and data security controls.
• Hands-on SQL experience; familiarity with Oracle/SQL Server.
• Ability to translate data rules into repeatable test scenarios and acceptance criteria.

Responsibilities

• Develop, coordinate, and execute test plans for data platforms, pipelines, and data products across environments.
• Create test cases and data to validate completeness, accuracy, timeliness, and referential integrity.
• Design automated test scripts for data pipelines, APIs, batch processes, and system integrations.
• Validate source-to-target mappings, transformation logic, and metadata.
• Collaborate with data engineers, analytics engineers, product owners, and stakeholders to ensure coverage and release readiness.

Job description

Globus family of brands seeks a Data Quality Assurance Engineer to plan, design, and execute tests ensuring accuracy, completeness, and reliability of enterprise data solutions. You will validate pipelines, transformations, and reports, partnering with data engineers, analytics engineers, and stakeholders to ensure release readiness.

The role emphasizes data quality, traceability, and adherence to business rules across source-to-target paths, with a strong focus on automated testing and