Job Description Build the platform foundation and semantic layer based on analyst-defined specifications Design and develop scalable ETL/ELT pipelines Create and maintain data models, marts, and historical data structures Develop standardization and transformation layers in Databricks Build and optimize Snowflake data assets and semantic models Enable data federation and interoperability between Databricks and Snowflake Implement testing, version control, and CI/CD best practices Partner with analytics and business teams to deliver governed, scalable data solutions Support AI and advanced analytics initiatives leveraging

Snowflake and Databricks Note:

This is a highly hands-on engineering role. The ideal candidate should be strong in Databricks, Snowflake, data modeling, and pipeline development, rather than traditional reporting or BI-focused analytics. We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.

To learn more about how we collect, keep, and process your private information, please review

Insight Global's Workforce Privacy Policy:

https://insightglobal.com/workforce-privacy-policy/. Skills and Requirements Strong SQL and Data Engineering experience Experience building and maintaining ETL/ELT data pipelines Databricks expertise including: Spark/PySpark Delta Lake Notebooks & Jobs Data standardization layers Snowflake experience including: Advanced SQL Warehouses & Role Management Semantic Views / Semantic Models Strong data modeling experience Dimensional Modeling Star Schemas SCD Type 2 History Data Mart Development Experience with cross-platform data federation between Databricks and Snowflake Python development for data pipelines and automation Git, DevOps, version control, testing, and CI/CD experience Experience with Snowflake Cortex and AI capabilities Semantic layer and semantic-view development Healthcare Revenue Cycle Management (RCM) experience dbt or other transformation frameworks Data platform performance tuning and optimization Experience with enterprise data ingestion frameworks Experience supporting analytics and reporting platforms