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Cambia's Data & Analytics Engineering Team is seeking a skilled Data and Analytics Engineer with significant experience engineering semantic layers to design, implement, expand and enhance our existing semantic layer within our Snowflake data platform to support AI-driven semantic intelligence and BI for our health insurance payer organization.

Requirements

• At least 1 year working with Snowflake or similar cloud data platforms
• Proficiency in SQL, Python, or other scripting languages for data processing and pipeline development.
• Experience using code repositories such as GitLab or GitHub and CI/CD-based deployment.
• Experience with semantic technologies, including Snowflake semantic views, MicroStrategy, AtScale, or Business Objects universes and healthcare data standards (e.g., FHIR, HL7, ICD-10).
• Experience with semantic technologies, including Snowflake semantic views, Microstrategy, AtScale, or Business Objects universes, and familiarity with healthcare ontologies (e.g., SNOMED, LOINC, ICD-10).
• Strong understanding of analytics workflows and their data requirements.
• Experience with data governance, metadata management, and compliance in healthcare.

Responsibilities

• Implement Enterprise Semantic Models: Build and maintain semantic data models on Snowflake based on specifications from the Semantic Data Architect and Data Product Owner, ensuring alignment with business, analysis, and AI requirements.
• Data Pipeline Development: When necessary, develop and optimize ETL/ELT pipelines to populate the semantic layer, integrating data from diverse sources (e.g., claims, member data, third-party feeds) using Snowflake’s capabilities.
• Analytics and AI Integration: Enable analytics and AI workflows by preparing and transforming data in the semantic layer for use in predictive models, natural language processing, and other analytics and AI applications.
• Performance Tuning: Optimize Snowflake queries and data structures (e.g., tables, views, materialized views) to ensure high performance for semantic data access.
• Data Quality and Validation: Implement data quality checks and validation processes to ensure the accuracy and reliability of the semantic layer.
• Collaboration: Work with data product owners, business analysts, the semantic data architect, data modelers, and data engineers to create and refine data models and troubleshoot issues in production environments.
• Automation and Monitoring: Automate semantic layer maintenance tasks and set up monitoring to ensure system reliability and performance.

Other

• Telecommute (Possible 2026 Return to office) - within Oregon, Washington, Idaho or Utah
• Bachelor’s degree in computer science, Mathematics, Business Administration, Engineering, or a related field
• 3+ years relevant experience in a multi-platform environment, including, but not limited to application development or database development
• Equivalent combination of education and experience
• Excellent communication skills to bridge technical and business teams.