Data Modeler
Omm IT Solutions
Job Posting
Job Information
Date Opened: 05/04/2026
Start Date: 2026-05-06T00:00:00-04:00
Job Type: Permanent W-2 Employee / Corp2Corp Contractor
Compensation: Negotiable
Industry: IT Services
State/Province: Virginia
City: Mc Lean
Zip/Postal Code: 22102
Country: United States
Work Authorization: USC/GC/H1B/H4-EAD
Job Opening ID: Omm2913J
Job Description
PLEASE NOTE: It is a 100% onsite position, in Mclean VA. Local Candidates Preferred. Job Description: 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. KEY SKILLS: Strong experience in Data Modeling, SQL, Snowflake, JSON data modeling and semi-structured data formats, data integration, and ETL tools and processes. KEY RESPONSIBILITY: Design and maintain conceptual, logical, and physical data models for enterprise-scale platforms. Collaborate with stakeholders to translate business needs into scalable data solutions. Develop and optimize SQL queries to support analytics and reporting requirements. Implement and manage data structures within Snowflake environments. Apply JSON-based data modeling techniques for flexible and modern data architectures. Requirements REQUIRED QUALIFICATION: Proven experience in data modeling within financial services environments. Strong proficiency in SQL and hands-on experience with Snowflake. Experience with JSON data modeling and semi-structured data formats. Understanding of data integration and ETL processes. Ability to communicate clearly with technical and non-technical stakeholders. DESIRED QUALIFICATION: Experience with multi-family mortgage or housing finance data. Familiarity with data governance and data quality frameworks. Exposure to cloud-based data platforms beyond Snowflake. Experience working in consulting or client-facing environments.
Education/Work Experience
HackerRank assessment required.
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