Capco

Data Modeler (8-Month Contract)

⭐ - 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.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
480
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πŸ—“οΈ - Date
April 3, 2026
πŸ•’ - Duration
More than 6 months
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🏝️ - Location
On-site
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πŸ“„ - Contract
Unknown
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πŸ”’ - Security
Unknown
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πŸ“ - Location detailed
Washington, DC
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🧠 - 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 You’ll 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 We’re 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