

Apptad Inc.
Data Modeler (W2 Only)
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Modeler (W2 Only) with a contract length of unspecified duration, offering $55/hr. Located remotely in St. Louis, MO, it requires 8+ years of experience, strong SQL skills, and expertise in IBM UDMH in a healthcare setting.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
440
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🗓️ - Date
January 7, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Remote
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📄 - Contract
W2 Contractor
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🔒 - Security
Unknown
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📍 - Location detailed
St Louis, MO
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🧠 - Skills detailed
#Data Governance #Cloud #Spark (Apache Spark) #Azure #Data Management #GCP (Google Cloud Platform) #Hadoop #MDM (Master Data Management) #SQL (Structured Query Language) #FHIR (Fast Healthcare Interoperability Resources) #Big Data #"ETL (Extract #Transform #Load)" #Data Architecture
Role description
Job Role - Data Modeler (W2 only)
Job Location - St Louis, MO(Remote)
Max Pay: $55/Hr on W2
Job Details:
"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."
Job Role - Data Modeler (W2 only)
Job Location - St Louis, MO(Remote)
Max Pay: $55/Hr on W2
Job Details:
"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."






