Contract Role: Data Modeler / Data Architect with IBM UDMH Exp at St Louis, MO (Remote 100%)
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a long-term contract for a Data Modeler/Data Architect with 8+ years of experience, strong IBM UDMH skills in healthcare, and expertise in ER modeling and SQL. Remote work based in St. Louis, MO.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
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🗓️ - Date discovered
August 23, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
Remote
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
St Louis, MO
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🧠 - Skills detailed
#Cloud #Azure #MDM (Master Data Management) #SQL (Structured Query Language) #Data Management #Big Data #Spark (Apache Spark) #Data Architecture #"ETL (Extract #Transform #Load)" #Hadoop #Data Governance #FHIR (Fast Healthcare Interoperability Resources) #GCP (Google Cloud Platform)
Role description
Data Modeler
St Louis, MO(Remote)
Long Term Contract
Required Skills & Experience:
• 8+ years of experience as a Data Modeler or Data Architect.
• Strong hands-on experience with IBM UDMH in a healthcare environment.
• Expertise in ER modeling tools .
• Strong SQL skills and understanding of relational, dimensional, and normalized modeling techniques.
• Experience with healthcare data standards (HL7, FHIR, ICD, CPT, etc.) is a plus.
• Familiarity with data warehousing concepts and ETL processes.
• Strong communication skills for working with business and technical stakeholders.
Nice-to-Have:
• Experience with cloud data platforms (Azure, GCP).
• Exposure to big data ecosystems (Hadoop, Spark).
• Data governance and master data management (MDM) experience.
Data Modeler
St Louis, MO(Remote)
Long Term Contract
Required Skills & Experience:
• 8+ years of experience as a Data Modeler or Data Architect.
• Strong hands-on experience with IBM UDMH in a healthcare environment.
• Expertise in ER modeling tools .
• Strong SQL skills and understanding of relational, dimensional, and normalized modeling techniques.
• Experience with healthcare data standards (HL7, FHIR, ICD, CPT, etc.) is a plus.
• Familiarity with data warehousing concepts and ETL processes.
• Strong communication skills for working with business and technical stakeholders.
Nice-to-Have:
• Experience with cloud data platforms (Azure, GCP).
• Exposure to big data ecosystems (Hadoop, Spark).
• Data governance and master data management (MDM) experience.
