Healthcare Data Modeler - 100% Remote

Role: Healthcare Data Modeler

Location: 100% Remote

Duration: Long Term

Work Time Zone: CST or EST

About the job

Responsibilities

• Design, implement, and optimise data models (canonical, integration, data warehouse, and data marts).
• Define and manage data architecture for healthcare transactions (claims, members, providers, enrolment, etc.).
• Develop conceptual, logical, and physical data models.
• Collaborate with business analysts and stakeholders to gather and analyze requirements.
• Create scalable, standardised models to support analytics and reporting layers
• Ensure data integrity, stability, and security across databases.
• Establish and enforce data modelling standards and best practices.
• Create and maintain metadata management and data governance.
• Integrate models with external systems/databases using HL7, X12, 5010 standards where relevant
• Optimize and tune data models for performance.
• Support database administrators and engineers in ongoing database tasks.
• Conduct data model reviews and provide feedback for improvement.
• Document and communicate data models and their specifications.
• Use data modelling tools and software for model creation and management.
• Stay current with industry trends and emerging technologies to keep data models updated.
• Communicate and articulate modelling decisions to both technical and business stakeholders.
• Ensure models support compliance and regulatory requirements for healthcare data.

Required Skills

• Deep understanding of the healthcare domain (claims, eligibility, enrolment, providers, members).
• Hands-on experience with data warehouse design, integration models, and data marts.
• Strong knowledge of SQL and database management systems like Oracle, SQL Server, or MySQL.
• Strong SQL, ER modelling, and conceptual/logical/physical model creation.
• Experience with data modeling tools such as ER/Studio, ERwin, or PowerDesigner
• Experience with big data technologies like Hadoop or Spark.
• Familiarity with cloud-based data services such as AWS or Azure.
• Familiarity with industry standards (HL7, X12, FHIR is a plus).
• Background in data governance and data quality concepts.
• Excellent communication and storytelling skills to defend and explain modelling choices.
• Experience in Agile or Scrum environments.
• Strong experience in healthcare data modelling
• Bachelor s degree in Computer Science, Information Technology, or a related field.
• Several years of experience in data modeling or related roles.
• Proficiency in data modeling techniques and methodologies.
• Experience in designing and implementing complex data models.
• Knowledge of ETL processes and data integration.
• Attention to detail and commitment to data accuracy.
• Ability to translate business requirements into data models.
• Capability to work independently and in a team environment.