Data Modeler

Remote • Posted 2 hours ago • Updated 1 hour ago
Full Time
Remote
Fitment

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Job Details

Skills

Summary

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


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.
  • Dice Id: 10236892
  • Position Id: OOJ - 5526-4527-1785439454
  • Posted 2 hours ago
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