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Remote-Sr Data Modeler with Medicaid or Medicare, Erwin and Data Vault Modeling Experience - People Force Consulting Inc

Remote Full-time Live

Position: Data Modeler

Location: United States (Remote)

Experience: 10+ years

Mandatory: Data Vault Modeling, ERWIN, Health Plan, Snowflake Data Warehouse, Azure, SQL, Data Modelling, Data Warehousing (DW) Concepts

Desired: Power BI, Matillion, Data Lakehouse Architecture, Healthcare Claims (Payer's domain), Dimensional Modelling, Canonical Model Building

Duties

  • Design and develop conceptual, logical, and physical data models
  • Create and maintain data dictionaries and metadata repositories
  • Analyze source systems and define target schemas in Snowflake
  • Lead data warehouse migration from legacy platforms to Snowflake
  • Collaborate with cross-functional teams to gather and analyze data requirements
  • Implement data governance-compliant schemas
  • Support ETL processes and data warehousing initiatives
  • Apply industry best practices for data modeling and database design
  • Use tools like Matillion, Visio, and BPMN for documentation and modeling
  • Translate business needs into optimized data structures for analytics and reporting

Required

  • Minimum 10 years of experience in data modeling and data warehousing
  • Proven expertise in Snowflake, Azure, and SQL
  • Experience in Healthcare Plan, Medicare, Medicaid, Billing, claims, etc REQUIRED.
  • Familiarity with Power BI, Matillion, and lakehouse architecture
  • Strong understanding of dimensional modeling and canonical models
  • Ability to work independently in a remote setup
  • Excellent communication and documentation skills
  • Relevant certifications in data platforms or cloud technologies are a plus
  • Relevant certifications in data platforms or cloud technologies are a plus

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

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