Sr Data Engineer

About this role

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Skills you'll use

What you'll do

• Design, build, and maintain scalable ETL/ELT pipelines supporting healthcare data ingestion, transformation, and delivery
• Sources may include claims, EHR/EMR, eligibility, pharmacy, and third-party datasets
• Develop and maintain SQL Server stored procedures that drive core data transformation logic across client-specific and standardized pipelines
• Implement complex transformation logic using T-SQL, including mapping, validation, aggregation, and data standardization
• Optimize performance of SQL queries, stored procedures, and ETL processes to ensure efficient large-scale data processing
• Develop and optimize data solutions within Azure (Data Factory, Synapse, Data Lake, SQL, Databricks)
• Lead efforts in data onboarding and implementation, ensuring timely and accurate client data integration
• Partner closely with Professional Services, Product, DevOps, and Analytics teams to gather requirements and deliver data solutions
• Ensure data quality, integrity, and validation, including reconciliation and audit processes for healthcare datasets
• Implement and maintain data governance and compliance standards, including HIPAA and PHI handling requirements

Who can apply

• Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience)
• 5+ years of experience in data engineering, preferably within healthcare or regulated data environments
• Strong proficiency in SQL and T-SQL, with hands-on experience building complex stored procedures and data transformations
• Experience with SQL Server performance tuning, query optimization, and indexing strategies
• Strong Python (or similar programming language) skills
• Hands-on experience with Azure data services (e.g., Data Factory, Synapse, Azure SQL, Blob Storage/Data Lake)
• Experience designing and managing ETL/ELT workflows and data pipelines
• Solid understanding of healthcare data structures (claims, encounters, provider, member, etc.)
• Experience with data warehousing and modeling (star schema, dimensional modeling)
• Familiarity with DevOps practices, CI/CD pipelines, and version control (Git)

Perks & benefits

About Veradigm

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