Data Analysts / QA

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 resolution accuracy, including match rates and false positive/negative analysis.
• Develop and maintain automated regression test suites to ensure ongoing data quality.
• Perform data profiling and analysis to detect anomalies and inconsistencies.
• Document data lineage across multiple domains (up to 18 domains).
• Collaborate with Data Engineering and Analytics teams to ensure production readiness of data assets.

Function: Marketing
Experience Level: Mid-Senior Level