Data Modeler Iselin NJ Local Only
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Modeler in Iselin, NJ, on a contract basis. Key skills include physical data modeling, normalization, and data governance. Candidates must have experience with database design and data architecture. On-site work is required.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
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🗓️ - Date discovered
September 24, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
On-site
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
Iselin, NJ
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🧠 - Skills detailed
#Security #Metadata #Data Warehouse #Normalization #Databases #Data Architecture #Physical Data Model #Database Design #Data Lineage #Data Governance
Role description
Title Data Modeler
Location: Iselin NJ Local only
Job Type: Contract
JD:
• Design and develop conceptual, logical, and physical data models for enterprise and application-level databases.
• Translate business requirements into well-structured data models that support analytics, reporting, and operational systems.
• Define and maintain data standards, naming conventions, and metadata for consistency across systems.
• Collaborate with data architects, engineers, and analysts to implement models into databases and data warehouses/lakes.
• Analyze existing data systems and provide recommendations for optimization, refactoring, and improvements.
• Create entity relationship diagrams (ERDs) and data flow diagrams to document data structures and relationships.
• Support data governance initiatives including data lineage, quality, and cataloging.
• Review and validate data models with business and technical stakeholders.
• Provide guidance on normalization, denormalization, and performance tuning of database designs.
• Ensure models comply with organizational data policies, security, and regulatory requirements.
Title Data Modeler
Location: Iselin NJ Local only
Job Type: Contract
JD:
• Design and develop conceptual, logical, and physical data models for enterprise and application-level databases.
• Translate business requirements into well-structured data models that support analytics, reporting, and operational systems.
• Define and maintain data standards, naming conventions, and metadata for consistency across systems.
• Collaborate with data architects, engineers, and analysts to implement models into databases and data warehouses/lakes.
• Analyze existing data systems and provide recommendations for optimization, refactoring, and improvements.
• Create entity relationship diagrams (ERDs) and data flow diagrams to document data structures and relationships.
• Support data governance initiatives including data lineage, quality, and cataloging.
• Review and validate data models with business and technical stakeholders.
• Provide guidance on normalization, denormalization, and performance tuning of database designs.
• Ensure models comply with organizational data policies, security, and regulatory requirements.
