Data Modeler

Job Title : Data Modeler Remote Core Skills 5+ years of data modeling experience in complex enterprise or multi-domain environments Strong proficiency in logical and physical data modeling ER modeling, normalization, dimensional modeling Experience modeling for multiple implementation patterns: OLTP relational, dimensional warehouse, and lakehouse or medallion architectures Hands-on with relational databases PostgreSQL, SQL Server, or Oracle Proficiency in SQL writing, reviewing, and optimizing queries and DDL scripts Experience with data modeling tools: ERwin, draw.io, dbt, or equivalent Familiarity with event-driven data design and schema registries (Confluent, AWS Glue, or similar) Collaboration and Communication Ability to work directly with domain SMEs and engineers to gather requirements and validate models Clear communicator comfortable explaining model decisions and trade-offs in design reviews Detail-oriented consistent in naming, documentation, and standards application Preferred Experience in government healthcare programs such as Medicaid, CHIP, or Medicare Familiarity with healthcare transaction data: claims (professional, institutional, pharmacy), eligibility, provider, or enrollment Knowledge of healthcare data standards: X12 EDI, NCPDP, FHIR R4, or HL7 Background in MMIS, claims processing systems, or health plan administration is a strong advantage but not required Experience with Python for data profiling, validation scripts, or pipeline support