Data Modeler || Hybrid at Iselin NJ || Contract

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Modeler in Iselin, NJ (Hybrid) on a long-term contract. Key skills include data architecture, database design, and data governance. Experience with physical data models and normalization is required. Pay rate is unspecified.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
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πŸ—“οΈ - Date discovered
September 24, 2025
πŸ•’ - Project duration
Unknown
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🏝️ - Location type
Hybrid
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πŸ“„ - Contract type
Unknown
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πŸ”’ - Security clearance
Unknown
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πŸ“ - Location detailed
Woodbridge, 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
Dice is the leading career destination for tech experts at every stage of their careers. Our client, IT First Source, is seeking the following. Apply via Dice today! Data Modeler :: Location: Iselin NJ (Hybrid - 3-4 days/week onsite) Duration: Long Term Job Description: β€’ Design and develop conceptual, logical, and physical data models for enterprise and application-level databases. β€’ Translate business requirements into well-structured data models that support analytics, reporting, and operational systems. β€’ Define and maintain data standards, naming conventions, and metadata for consistency across systems. β€’ Collaborate with data architects, engineers, and analysts to implement models into databases and data warehouses/lakes. β€’ Analyze existing data systems and provide recommendations for optimization, refactoring, and improvements. β€’ Create entity relationship diagrams (ERDs) and data flow diagrams to document data structures and relationships. β€’ Support data governance initiatives including data lineage, quality, and cataloging. β€’ Review and validate data models with business and technical stakeholders. β€’ Provide guidance on normalization, denormalization, and performance tuning of database designs. β€’ Ensure models comply with organizational data policies, security, and regulatory requirements. Thanks, IT First Source