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