Sr Quality Engineer (Database & Backend Testing, Snowflake, Azure)

Job Description

Welcome to Veradigm! Our Mission is to be the most trusted provider of innovative solutions that empower all stakeholders across the healthcare continuum to deliver world-class outcomes. Our Vision is a Connected Community of Health that spans continents and borders. With the largest community of clients in healthcare, Veradigm is able to deliver an integrated platform of clinical, financial, connectivity and information solutions to facilitate enhanced collaboration and exchange of critical patient information. Veradigm Veradigm is here to transform health, insightfully. Veradigm delivers a unique combination of point-of-care clinical and financial solutions, a commitment to open interoperability, a large and diverse healthcare provider footprint, along with industry proven expert insights. We are dedicated to simplifying the complicated healthcare system with next-generation technology and solutions, transforming healthcare from the point-of-patient care to everyday life. For more information, please explore What will your job look like: Job Summary: We are seeking a detail-oriented and experienced Database and Backend Test Engineer with 5+ years of experience in testing large-scale data platforms , including Snowflake , Azure Data Services , and backend services. The ideal candidate will be responsible for validating data pipelines, backend logic, stored procedures, and integrations, ensuring the accuracy, performance, and quality of enterprise data systems. Key Responsibilities: Design and implement test strategies for backend systems and data pipelines across Snowflake and Azure environments. Write and execute complex SQL queries to validate transformations, stored procedures, and data quality. Perform ETL testing , data reconciliation, schema validation, and metadata checks. Collaborate with data engineers and developers to verify pipeline performance, reliability, and scalability. Build and maintain automated test scripts using tools like pytest, dbt, or custom SQL-based frameworks . Integrate database tests into CI/CD pipelines using tools such as Azure DevOps , GitHub Actions, or Jenkins. Perform root cause analysis on data issues and communicate findings with relevant teams. Monitor and validate data processing jobs and schedule validations using Azure Data Factory , Synapse , or Data Bricks . Document test scenarios, data sets, and validation logs in a structured manner. An Ideal Candidate will have: Required Skills & Qualifications: 5+ years of experience in database and backend testing . Strong hands-on experience with Snowflake - including data modeling, querying, and security roles. Experience with Azure data tools such as Azure SQL , Data Factory , Synapse Analytics , or Data Lake . Advanced proficiency in SQL and performance tuning. Experience with ETL/ELT testing and validation of data migration or transformation logic. Familiarity with Python or Shell scripting for data test automation. Knowledge of CI/CD integration for test automation. Strong understanding of data quality frameworks , data governance , and test reporting . Preferred Qualifications: Experience with dbt , Great Expectations , or other data validation tools. Exposure to cloud storage validation (Azure Blob, ADLS). Experience in testing APIs for data services or backend integrations. Knowledge of data privacy and compliance frameworks (e.g., GDPR, HIPAA).