Design, develop, and maintain scalable data solutions using Snowflake and Microsoft Data Fabric
Build and optimize complex SQL queries, views, and transformations for large‑scale healthcare datasets
Develop and manage data pipelines, semantic models, and data products using Microsoft Data Fabric components (Lakehouse, Dataflows, Warehouses, Pipelines)
Analyze healthcare data (claims, eligibility, provider, clinical, pharmacy) to support reporting, analytics, and business insights
Collaborate with business analysts and stakeholders to translate healthcare business requirements into technical data solutions
Ensure data quality, accuracy, performance optimization, and adherence to healthcare data standards
Perform root‑cause analysis for data issues and implement robust, scalable fixes
Support UAT, data validation, reconciliation, and production support activities
Ensure compliance with healthcare regulations and internal data governance standards (HIPAA, PHI/PII handling).

5+ years of experience in data engineering / software engineering roles
Strong hands‑on experience with Snowflake (data modeling, performance tuning, SQL optimization)
Strong experience with Microsoft Data Fabric (Lakehouse, Dataflows Gen2, Pipelines, Warehouses)
Expert‑level SQL skills for data analysis, transformation, and validation
Strong understanding of data warehousing concepts, dimensional modeling, and ETL/ELT patterns
Experience working with large, complex datasets in cloud data platforms.

Senior Software Engineer II

Key skills