Data Quality Engineer

Description About the Role: We are seeking an experienced Data Quality Engineer to support ATLAS, the VA’s open-architected, multi-cloud enterprise data management and analytics platform. In this role, you will design and automate validation, testing, profiling, and monitoring frameworks that ensure the accuracy, consistency, completeness, and reliability of multi-source data as it is ingested, conditioned, curated, and delivered as consumable enterprise data products. Working with Azure Synapse, Databricks, Collibra Data Quality, Profisee, SQL, Python, and related tools, you will detect anomalies, enforce governance standards, and improve trust in data across interoperating ATLAS platforms. You will collaborate with data engineers, analysts, data scientists, and product teams to provide consistent, secure access to high-quality data that enables evidence-based decisions and improves outcomes for Veterans and their families. Key Responsibilities: Design and implement data validation and quality assurance processes for cloud-based environments. Automate data quality checks and develop monitoring solutions to detect data anomalies. Collaborate with data engineers and analysts to ensure data governance and compliance. Analyze and profile structured and unstructured datasets for accuracy and consistency. Build and maintain automated testing frameworks to proactively catch data issues. Utilize Azure data engineering and ELT tools, including Azure Synapse and Databricks. Create and