

S3 Connections LLC
Senior Data Modeler
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Modeler in McLean, VA, on a contract basis. Key skills include SQL, Snowflake, and data modeling in financial services. Requires experience with JSON, ETL processes, and strong communication skills.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
March 26, 2026
🕒 - Duration
Unknown
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🏝️ - Location
On-site
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
McLean, VA
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🧠 - Skills detailed
#Data Quality #Scala #SQL Queries #Physical Data Model #Data Modeling #SQL (Structured Query Language) #JSON (JavaScript Object Notation) #"ETL (Extract #Transform #Load)" #Snowflake #Data Integration
Role description
Job Title: Senior Data Modeler
Location: McLean, VA (Onsite) Onsite Interview
Work Type: Contract
Role Overview
We are seeking a Senior Data Modeler to design and optimize enterprise-scale data models supporting complex financial systems. This role involves translating business requirements into scalable data structures, enabling high-quality analytics and data-driven decision-making. The ideal candidate will have strong expertise in SQL, Snowflake, and modern data modeling techniques, along with experience in financial services environments.
Key Responsibilities
• Design and maintain conceptual, logical, and physical data models for enterprise data platforms
• Collaborate with business and technical stakeholders to translate requirements into scalable data solutions
• Develop and optimize SQL queries to support analytics and reporting needs
• Implement and manage data models within Snowflake environments
• Apply JSON-based data modeling techniques for handling semi-structured data
• Support data integration and ETL processes to ensure data consistency and availability
• Ensure adherence to data quality, governance, and modeling best practices
• Document data models, relationships, and transformation logic clearly
Required Qualifications
• Proven experience as a Data Modeler in financial services environments
• Strong proficiency in SQL and hands-on experience with Snowflake
• Experience with data modeling techniques (conceptual, logical, physical)
• Experience working with JSON and semi-structured data formats
• Understanding of ETL processes and data integration workflows
• Strong communication skills to work with both technical and non-technical stakeholders
Job Title: Senior Data Modeler
Location: McLean, VA (Onsite) Onsite Interview
Work Type: Contract
Role Overview
We are seeking a Senior Data Modeler to design and optimize enterprise-scale data models supporting complex financial systems. This role involves translating business requirements into scalable data structures, enabling high-quality analytics and data-driven decision-making. The ideal candidate will have strong expertise in SQL, Snowflake, and modern data modeling techniques, along with experience in financial services environments.
Key Responsibilities
• Design and maintain conceptual, logical, and physical data models for enterprise data platforms
• Collaborate with business and technical stakeholders to translate requirements into scalable data solutions
• Develop and optimize SQL queries to support analytics and reporting needs
• Implement and manage data models within Snowflake environments
• Apply JSON-based data modeling techniques for handling semi-structured data
• Support data integration and ETL processes to ensure data consistency and availability
• Ensure adherence to data quality, governance, and modeling best practices
• Document data models, relationships, and transformation logic clearly
Required Qualifications
• Proven experience as a Data Modeler in financial services environments
• Strong proficiency in SQL and hands-on experience with Snowflake
• Experience with data modeling techniques (conceptual, logical, physical)
• Experience working with JSON and semi-structured data formats
• Understanding of ETL processes and data integration workflows
• Strong communication skills to work with both technical and non-technical stakeholders






