Data Modeler
Job Title: Data Modeler Location: Long Beach, CA (Preferred) - Remote acceptable About the Role: We are seeking an experienced Data Modeler to support enterprise data initiatives for a major U.S. healthcare payer, with heavy emphasis on Medicare Advantage and core payer operational systems. The ideal candidate possesses strong data modeling expertise, a deep understanding of modern cloud-based data architectures, and the ability to translate business needs into scalable, high-quality data solutions. Key Responsibilities: Design, develop, and maintain logical and physical data models for enterprise systems. Collaborate with cross-functional teams to convert business requirements into scalable data structures. Ensure data integrity, normalization, optimization , and overall model quality. Partner with ETL developers and data engineers to implement models in data warehouses, EDH, and data lakes . Document data dictionaries, metadata, relationships, and business rules per enterprise standards. Support data governance , privacy, and compliance requirements (PHI/PII). Perform data profiling , assess data quality, and define DQ rules and transformation logic. Required Skills: 5 years in data modeling, data architecture, or database design. Hands-on experience with ERwin, PowerDesigner , or similar modeling tools. Strong SQL skills (Oracle, SQL Server, PostgreSQL). Strong understanding of dimensional modeling, normalization, relational data structures , and data warehousing. Experience with Azure Cloud , Data Lakes, and Enterprise Data Hubs. Strong ability to convert business requirements into technical specifications. Knowledge of API data formats (JSON, XML). Excellent communication and stakeholder collaboration skills. Preferred Qualifications: Experience with healthcare payer data (claims, provider, member). Background in data governance and MDM . Expertise in performance tuning and optimisation.
- Cerritos, CA
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