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Data Modeler
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Posted on:10/21/2025
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Depends on experience
Big Data,data architecture principles,data governance practices,data integration,Data Modeler,healthcare,hierarchical,interoperability standards,relational
Work type: Remote
Work authorization: US local resources,Work authorization required,Work authorization sponsored,Work authorization in field of study
Duration: 10 months
Veteran Service: Yes
Number of hirings: 2
Job Details
Position Title: Data Modeler
Summary:
The State of Nebraska Department of Health and Human Services (DHHS) is seeking an experienced Data Modeler to lead the design and development of enterprise-scale data models that support cross-functional initiatives across healthcare and human services domains. This role requires deep expertise in conceptual, logical, and physical data modeling, with a strong understanding of public sector data environments and healthcare systems. The ideal candidate will bring a strategic mindset, technical proficiency, and a collaborative approach to unify data across complex systems and stakeholders.
Key Responsibilities:
• Collaborate with business and technical teams to identify data and information needs across DHHS programs.
• Design and develop conceptual, logical, and physical data models that support enterprise-wide integration and reporting.
• Create and maintain a comprehensive information architecture blueprint, including metadata, data flows, and lineage.
• Standardize and unify data definitions across disparate systems, departments, and reporting functions.
• Analyze existing systems and business processes to determine structural data requirements.
• Facilitate working sessions with business leads, SMEs, and IT teams to gather requirements and validate models.
• Define and socialize target-state data models and architecture with key stakeholders.
• Implement data governance practices, including standards, ownership matrices, and quality controls.
• Support the implementation of physical data models and optimize for performance, scalability, and usability.
Required Qualifications:
• 3–5 years of hands-on experience in data modeling, including enterprise-level projects.
• Proven experience with healthcare or HHS data in a public sector or government setting.
• Strong knowledge of relational, hierarchical, and Big Data modeling concepts.
• Proficiency with Erwin or similar data modeling and metadata management tools.
• Familiarity with data integration, interoperability standards, and data quality frameworks.
• Solid understanding of data architecture principles, including storage, security, and governance.
• We're looking for a self-motivated team member who can work independently in a fully remote Agile environment - someone who takes ownership of their work, communicates proactively, and drives progress without needing close supervision.
Preferred Qualifications:
• Bachelor’s degree in Computer Science, Information Systems, or a related field (or equivalent experience).
• Certification in Data Architecture or Data Modeling is a plus.
• Experience working in agile environments and contributing to strategic data initiatives.
· The ideal candidate thrives in a distributed Scrum team, managing their own deliverables and staying accountable through clear, consistent communication.
Summary:
The State of Nebraska Department of Health and Human Services (DHHS) is seeking an experienced Data Modeler to lead the design and development of enterprise-scale data models that support cross-functional initiatives across healthcare and human services domains. This role requires deep expertise in conceptual, logical, and physical data modeling, with a strong understanding of public sector data environments and healthcare systems. The ideal candidate will bring a strategic mindset, technical proficiency, and a collaborative approach to unify data across complex systems and stakeholders.
Key Responsibilities:
• Collaborate with business and technical teams to identify data and information needs across DHHS programs.
• Design and develop conceptual, logical, and physical data models that support enterprise-wide integration and reporting.
• Create and maintain a comprehensive information architecture blueprint, including metadata, data flows, and lineage.
• Standardize and unify data definitions across disparate systems, departments, and reporting functions.
• Analyze existing systems and business processes to determine structural data requirements.
• Facilitate working sessions with business leads, SMEs, and IT teams to gather requirements and validate models.
• Define and socialize target-state data models and architecture with key stakeholders.
• Implement data governance practices, including standards, ownership matrices, and quality controls.
• Support the implementation of physical data models and optimize for performance, scalability, and usability.
Required Qualifications:
• 3–5 years of hands-on experience in data modeling, including enterprise-level projects.
• Proven experience with healthcare or HHS data in a public sector or government setting.
• Strong knowledge of relational, hierarchical, and Big Data modeling concepts.
• Proficiency with Erwin or similar data modeling and metadata management tools.
• Familiarity with data integration, interoperability standards, and data quality frameworks.
• Solid understanding of data architecture principles, including storage, security, and governance.
• We're looking for a self-motivated team member who can work independently in a fully remote Agile environment - someone who takes ownership of their work, communicates proactively, and drives progress without needing close supervision.
Preferred Qualifications:
• Bachelor’s degree in Computer Science, Information Systems, or a related field (or equivalent experience).
• Certification in Data Architecture or Data Modeling is a plus.
• Experience working in agile environments and contributing to strategic data initiatives.
· The ideal candidate thrives in a distributed Scrum team, managing their own deliverables and staying accountable through clear, consistent communication.
Interview type: Telephonic, Virtual
Experience years required: 0
Recruiter Details