Senior Data Engineer

We are seeking a highly skilled Senior Data Engineer with strong expertise in DBT, Snowflake, Azure Data Factory, and data modeling. The ideal candidate will have hands-on experience with Milliman’s MedInsight tool and a background in healthcare data (particularly provider, Medicare, and Medicaid data). This role is part of a legacy data foundation upgrade and supports both ongoing operations and new data architecture builds. Job Responsibilities: Design and implement data pipelines using Azure Data Factory for diverse ingestion needs Develop robust transformations in DBT for Snowflake-based data warehouse Support both legacy systems and new platform builds, ensuring seamless integration Integrate and operationalize data from Milliman MedInsight, aligning it with internal data models Collaborate on system redesign and performance optimization strategies for analytics operations Architect and model core data elements around providers and member populations Support analytics teams with reliable and efficient data structures Solve complex data integration challenges with a solution-oriented mindset Required Skills:

Proficient in DBT (Data Build Tool) Strong experience with Snowflake (cloud data warehouse) Expertise in Azure Data Factory for data ingestion Skilled in data modeling (dimensional and relational models) Experience working with healthcare provider data, Medicare, and Medicaid datasets Experience with Milliman MedInsight is highly preferred Preferred Skills:

Direct experience with Milliman MedInsight data modeling and integration Familiarity with Epic and other healthcare data systems Background in large-scale healthcare data transformation projects Understanding of cloud architecture best practices Certifications:

Not specified Education: Bachelor’s degree in computer science, Data Engineering, or related field (or equivalent experience)

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