

RAIS USA
Data Modelling Specialist
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Modelling Specialist, remote, with a contract length of "unknown" and a pay rate of "unknown." Key skills include data modeling tools, SQL databases, Azure Cloud, and healthcare data experience is preferred.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
Unknown
-
ποΈ - Date
November 27, 2025
π - Duration
Unknown
-
ποΈ - Location
Remote
-
π - Contract
Unknown
-
π - Security
Unknown
-
π - Location detailed
United States
-
π§ - Skills detailed
#ERWin #Physical Data Model #Data Warehouse #Metadata #Scala #Data Management #Business Analysis #Compliance #MDM (Master Data Management) #Data Profiling #Databases #"ETL (Extract #Transform #Load)" #Data Modeling #Data Governance #Azure #JSON (JavaScript Object Notation) #Data Engineering #Normalization #Data Lake #Azure cloud #API (Application Programming Interface) #Data Integrity #Data Architecture #Cloud #SQL (Structured Query Language) #XML (eXtensible Markup Language) #Security
Role description
Job Title: Data Modelling Specialist
Location: Remote
Key Responsibilities
β’ Design, develop, and maintain logical and physical data models to support enterprise applications .
β’ Collaborate with business analysts, architects, and developers to translate business requirements into robust data structures.
β’ Ensure data integrity, normalization, and optimization for performance and scalability.
β’ Work closely with ETL developers and data engineers to implement models in data warehouses and operational systems.
β’ Document data models, relationships, and metadata in compliance with enterprise standards.
β’ Participate in data governance initiatives, ensuring adherence to security and compliance requirements.
β’ Conduct data profiling, identify quality issues, and define DQ rules and transformation logic.
Required Skills
β’ Strong expertise in data modeling tools (e.g., ERwin, PowerDesigner) and SQL-based databases.
β’ Knowledge of data warehousing concepts, dimensional modeling, and normalization techniques.
β’ Familiarity with Azure Cloud platform and modern data architectures (Data Lake, EDH).
β’ Ability to interpret business requirements and convert them into technical specifications.
β’ Understanding of API integration and data exchange formats (JSON, XML).
β’ Excellent communication skills to work with cross-functional teams.
Preferred Qualifications
β’ Experience with healthcare data domains (claims, provider, member) .
β’ Exposure to data governance frameworks and master data management.
β’ Proficiency in performance tuning and query optimization.
Job Title: Data Modelling Specialist
Location: Remote
Key Responsibilities
β’ Design, develop, and maintain logical and physical data models to support enterprise applications .
β’ Collaborate with business analysts, architects, and developers to translate business requirements into robust data structures.
β’ Ensure data integrity, normalization, and optimization for performance and scalability.
β’ Work closely with ETL developers and data engineers to implement models in data warehouses and operational systems.
β’ Document data models, relationships, and metadata in compliance with enterprise standards.
β’ Participate in data governance initiatives, ensuring adherence to security and compliance requirements.
β’ Conduct data profiling, identify quality issues, and define DQ rules and transformation logic.
Required Skills
β’ Strong expertise in data modeling tools (e.g., ERwin, PowerDesigner) and SQL-based databases.
β’ Knowledge of data warehousing concepts, dimensional modeling, and normalization techniques.
β’ Familiarity with Azure Cloud platform and modern data architectures (Data Lake, EDH).
β’ Ability to interpret business requirements and convert them into technical specifications.
β’ Understanding of API integration and data exchange formats (JSON, XML).
β’ Excellent communication skills to work with cross-functional teams.
Preferred Qualifications
β’ Experience with healthcare data domains (claims, provider, member) .
β’ Exposure to data governance frameworks and master data management.
β’ Proficiency in performance tuning and query optimization.






