

Capco
Data Modeler (8-Month Contract)
β - Featured Role | Apply direct with Data Freelance Hub
This role is a Data Modeler (8-Month Contract) in McLean, VA, offering $60/hour. Requires expertise in SQL, Snowflake, and financial services data modeling. Familiarity with JSON, ETL processes, and data governance is preferred. Onsite work is mandatory.
π - Country
United States
π± - Currency
$ USD
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π° - Day rate
480
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ποΈ - Date
April 3, 2026
π - Duration
More than 6 months
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ποΈ - Location
On-site
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π - Contract
Unknown
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π - Security
Unknown
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π - Location detailed
Washington, DC
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π§ - Skills detailed
#Data Architecture #Scala #"ETL (Extract #Transform #Load)" #Data Governance #SQL Queries #Physical Data Model #SQL (Structured Query Language) #Data Quality #Consulting #Data Integration #Cloud #Data Modeling #Snowflake #JSON (JavaScript Object Notation)
Role description
Data Modeler
Location: McLean, VA (Onsite) | Type: Contract | Rate: $60/hour
The Role
We are seeking a Senior Data Modeler to design, develop, and optimize data models that support complex financial systems. You will work closely with cross-functional teams to translate business requirements into robust data structures, enabling high-quality analytics and data-driven decision-making. This role requires strong expertise in SQL, Snowflake, and modern data modeling techniques, alongside domain knowledge in financial services.
What Youβll Do
β’ Design and maintain conceptual, logical, and physical data models for enterprise-scale platforms
β’ Collaborate with stakeholders to translate business needs into scalable data solutions
β’ Develop and optimize SQL queries to support analytics and reporting requirements
β’ Implement and manage data structures within Snowflake environments
β’ Apply JSON-based data modeling techniques for flexible and modern data architectures
What Weβre Looking For
β’ Proven experience in data modeling within financial services environments
β’ Strong proficiency in SQL and hands-on experience with Snowflake
β’ Experience with JSON data modeling and semi-structured data formats
β’ Understanding of data integration and ETL processes
β’ Ability to communicate clearly with technical and non-technical stakeholders
Bonus Points For
β’ Experience with multi-family mortgage or housing finance data
β’ Familiarity with data governance and data quality frameworks
β’ Exposure to cloud-based data platforms beyond Snowflake
β’ Experience working in consulting or client-facing environments
Data Modeler
Location: McLean, VA (Onsite) | Type: Contract | Rate: $60/hour
The Role
We are seeking a Senior Data Modeler to design, develop, and optimize data models that support complex financial systems. You will work closely with cross-functional teams to translate business requirements into robust data structures, enabling high-quality analytics and data-driven decision-making. This role requires strong expertise in SQL, Snowflake, and modern data modeling techniques, alongside domain knowledge in financial services.
What Youβll Do
β’ Design and maintain conceptual, logical, and physical data models for enterprise-scale platforms
β’ Collaborate with stakeholders to translate business needs into scalable data solutions
β’ Develop and optimize SQL queries to support analytics and reporting requirements
β’ Implement and manage data structures within Snowflake environments
β’ Apply JSON-based data modeling techniques for flexible and modern data architectures
What Weβre Looking For
β’ Proven experience in data modeling within financial services environments
β’ Strong proficiency in SQL and hands-on experience with Snowflake
β’ Experience with JSON data modeling and semi-structured data formats
β’ Understanding of data integration and ETL processes
β’ Ability to communicate clearly with technical and non-technical stakeholders
Bonus Points For
β’ Experience with multi-family mortgage or housing finance data
β’ Familiarity with data governance and data quality frameworks
β’ Exposure to cloud-based data platforms beyond Snowflake
β’ Experience working in consulting or client-facing environments





