Jobs via Dice
Data Modeler || Issaquah , WA (Hybrid) || Contract
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Modeler in Issaquah, WA (Hybrid) on a contract basis. Key skills include experience with Erwin Data Modeler, ETL/ELT pipelines, and data modeling for enterprise data warehouses. Familiarity with Google Cloud Platform or Azure Synapse is required.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
October 11, 2025
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Issaquah, WA
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🧠 - Skills detailed
#GCP (Google Cloud Platform) #Data Modeling #Data Mart #Cloud #Metadata #Data Engineering #ERWin #Azure #Documentation #Data Architecture #Data Warehouse #EDW (Enterprise Data Warehouse) #Synapse #Version Control #Data Ingestion #BigQuery #Data Documentation #"ETL (Extract #Transform #Load)" #Physical Data Model
Role description
Dice is the leading career destination for tech experts at every stage of their careers. Our client, Amaze Systems Inc, is seeking the following. Apply via Dice today!
• Design and develop conceptual, logical, and physical data models for enterprise data warehouses, data marts, and operational data stores.
• Work with stakeholders (data architects, data engineers, analysts, and business SMEs) to understand data requirements and translate them into efficient models.
• Use Erwin Data Modeler (or equivalent tool) for modeling, version control, lineage, and metadata documentation.
• Implement data modeling standards and enforce naming conventions, data types, and relationships across systems.
• Collaborate with data engineering teams to design ETL/ELT pipelines for data ingestion, transformation, and loading into Google Cloud Platform BigQuery or Azure Synapse.
Dice is the leading career destination for tech experts at every stage of their careers. Our client, Amaze Systems Inc, is seeking the following. Apply via Dice today!
• Design and develop conceptual, logical, and physical data models for enterprise data warehouses, data marts, and operational data stores.
• Work with stakeholders (data architects, data engineers, analysts, and business SMEs) to understand data requirements and translate them into efficient models.
• Use Erwin Data Modeler (or equivalent tool) for modeling, version control, lineage, and metadata documentation.
• Implement data modeling standards and enforce naming conventions, data types, and relationships across systems.
• Collaborate with data engineering teams to design ETL/ELT pipelines for data ingestion, transformation, and loading into Google Cloud Platform BigQuery or Azure Synapse.
