Data Engineer

• Architect and implement ETL/ELT pipelines to ingest and transform data from Snowflake to SFDC Health Cloud built in DBT.
• Design and maintain data models that support payer and provider analytics, including Portico, Excelys, and Amisys structures.
• Leverage DBT for transformation workflows and documentation of data lineage.
• Design and implement Snowflake clusters using Terraform.
• Use Pandas and Python for data wrangling, preprocessing, and validation.
• Collaborate with cross-functional teams to align integration efforts with business goals, including real-time sync and batch processing.
• Ensure data quality, governance, and compliance with healthcare regulations.
• Monitor pipeline performance and troubleshoot issues across environments.
• Contribute to platform scalability and observability using tools like MuleSoft, Informatica, and Salesforce APIs.

Senior Data Engineer

Lead Data Engineer – Snowflake, DBT, Databricks, Pandas

Scientific Data Architect

Data Engineer

Data Engineer