Data Modeler

New
J
JobgetherHealthcare IT
Based in United StatesFull-TimeMiddle
Salary not disclosed
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Job Details

Experience
At least 4 years
Required Skills
RDBMSData modeling

Requirements

  • Bachelor's degree in Computer Science, Information Systems, Data Science, Engineering, Mathematics, Healthcare Informatics, or a related field.
  • At least 4 years of professional experience in data modeling, database design, or data architecture.
  • Demonstrated experience designing conceptual, logical, and physical data models.
  • Experience working with relational database management systems and enterprise data environments.
  • Experience supporting large-scale modernization, systems integration, or data migration initiatives.
  • Strong ability to create technical documentation, architecture diagrams, and data mappings.
  • Experience translating business requirements into practical data solutions within multidisciplinary teams.
  • Strong analytical and problem-solving skills with attention to data quality and accuracy.
  • Ability to communicate technical concepts to both technical and non-technical stakeholders.
  • Familiarity with federal healthcare programs, healthcare claims, eligibility, or EDI environments (highly desirable).
  • Knowledge of X12 and/or NCPDP transaction standards (preferred).

Responsibilities

  • Design and maintain conceptual, logical, and physical data models for enterprise modernization.
  • Develop technical documentation including architecture diagrams, data flow diagrams, data dictionaries, and metadata standards.
  • Analyze legacy systems and support the transition of provider, claims, and eligibility data into modernized systems.
  • Develop data mapping specifications and transformation logic for migration and integration.
  • Collaborate with developers, architects, and business stakeholders to align data solutions with operational requirements.
  • Design reporting models and data structures for dashboards, automation, and operational analytics.
  • Identify and resolve data quality issues, defects, and integration challenges.
  • Participate in User Acceptance Testing to validate data integrity and migration accuracy.
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