QA Engineer - Near-Real-Time Data (Remote)

Charter Global; United States; Remote; USD 55,000 - 83,000; Part time

Job summary

Charter Global is seeking a Quality Engineer for a remote 3+ month contract to deliver near-real-time data processing solutions.

You will design test cases, prepare data, execute API and end-to-end tests, and validate data flows through Kafka, Azure Function Apps, Cosmos DB, and Databricks, ensuring data quality and reliability.

Experience with QA methodologies, test data management, and defect triage is required to ensure successful deployments and production verification.

Qualifications

• Strong knowledge of QA/testing methodologies and processes.
• Experience in test data preparation, test execution, and defect management.
• Hands‑on experience with API and end-to-end integration testing.
• Knowledge of Kafka, Azure Function Apps, Cosmos DB, Azure Data Factory (ADF), and Databricks.
• Experience with data quality, completeness, and source-to-target validation.
• Experience in defect triage, retesting, and Production deployment verification.

Responsibilities

• Design test cases, test plans, and testing strategy based on approved requirements.
• Prepare test data to support testing activities.
• Execute test cases and document test results.
• Perform API and end-to-end integration testing to validate Kafka event consumption, processing through Azure Function Apps, and data loading into Cosmos DB, ensuring data quality, completeness, and reliable source-to-target data flow.
• Perform defect triage, including defect identification, logging, and Production deployment verification.

Skills

QA/testing methodologies

Test data preparation

API testing

End-to-end testing

Defect triage

Tools

Kafka

Azure Function Apps

Cosmos DB

Azure Data Factory (ADF)

Databricks

Job description

Charter Global is seeking a Quality Engineer for a remote 3+ month contract to deliver near-real-time data processing solutions.

You will design test cases, prepare data, execute API and end-to-end tests, and validate data flows through Kafka, Azure Function Apps, Cosmos DB, and Databricks, ensuring data quality and reliability.

Experience with QA methodologies, test data management, and defect triage is required to ensure successful deployments and production verification.