We’re looking for a QA Data Engineer to support the validation, reconciliation, and production readiness of data pipelines for a high-impact enterprise initiative. This hybrid role is ideal for someone who combines strong analytical capabilities with hands-on experience in data quality, testing, and validation frameworks.

You will play a key role in ensuring data accuracy and reliability across multiple domains, working closely with Data Engineering and Analytics teams to validate and promote high-quality data pipelines into production.

What will you be doing?

• Validate data accuracy across pipelines, ensuring consistency between legacy and new systems.
• Build and maintain reconciliation frameworks to compare outputs between legacy and modernized data pipelines.
• Execute acceptance testing for data pipelines prior to production deployment.
• Validate identity re...