Senior Data QA Engineer – ETL, Databricks & API Testing

NSD International, Inc; Charlotte (NC); On-site; USD 90,000 - 130,000; Full time

Job summary

NSD International, Inc. is seeking a senior QA Analyst to support the Cyber Data Operations team within ISDAD. You will design and execute test cases for CyberDW and Cyber Data Dashboards, identify defects, and contribute to regression test plans and scripts.

The role emphasizes hands-on testing across ETL/ELT pipelines, data validation with SQL, Spark SQL, and PySpark, and collaboration with developers in an agile Scrum environment to ensure reliable, compliant data products.

Qualifications

• 8+ years in Quality Assurance, Data Testing, ETL/ELT Testing or related fields.
• 5+ years leading QA for enterprise data warehouses or lakehouse platforms.
• Hands-on Databricks experience and testing data pipelines in cloud data platforms.
• Advanced SQL and Spark SQL for data validation and root-cause analysis.

Responsibilities

• Develop and execute test plans, cases, and scripts from requirements.
• Perform manual and automated testing across functional, regression, and UAT.
• Document defects and collaborate with developers to resolve issues.
• Maintain traceability of requirements and test docs; participate in agile Scrum.
• Identify documentation and deliverables for each project testing and automation.

Skills

Quality Assurance

Data Testing

ETL/ELT Testing

Data Engineering

Regression Testing

SQL

Spark SQL

Python

PySpark

Pandas

REST API testing

Test Automation

Agile/Scrum

Tools

Databricks

Postman

Python

Job description

NSD International, Inc. is seeking a senior QA Analyst to support the Cyber Data Operations team within ISDAD. You will design and execute test cases for CyberDW and Cyber Data Dashboards, identify defects, and contribute to regression test plans and scripts.

The role emphasizes hands-on testing across ETL/ELT pipelines, data validation with SQL, Spark SQL, and PySpark, and collaboration with developers in an agile Scrum environment to ensure reliable, compliant data products.