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Data Modeler

McLean, VA, US • Posted 22 hours ago • Updated 33 minutes ago

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Contract Independent

Contract W2

On-site

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Job Details

Skills

erwin
nosql

Summary

Role: Senior Data Modeler (Mortgage)

Location: Mc Lean, VA (5Days onsite)

Required Skills:

Experience:10+ years in Data Modeling, Data Architecture, or Data Management.

Strong experience in Data Modeling using relational and NoSQL databases.
Expertise in Conceptual, Logical, and Physical Data Model design.
Hands-on experience with Dimensional Modeling (Star/Snowflake Schemas) and Data Warehousing.
Experience in Data Mapping, Data Lineage, Data Profiling, and Data Quality Analysis.
Proficiency in schema design, DDL creation, XML/JSON data structures, and metadata management.
Experience with data modeling tools such as ER Studio or equivalent.
Knowledge of Snowflake and cloud-based data platforms.
Familiarity with Agile development methodologies.
Strong analytical, problem-solving, and stakeholder communication skills.

Key Responsibilities:

Design, develop, and maintain enterprise data models to support business and analytical needs.
Gather and document data requirements from business and technical stakeholders.
Create and enhance logical and physical data models, schemas, and database objects.
Perform data profiling, lineage analysis, and source-to-target mapping.
Analyze and resolve data quality issues through root cause analysis.
Develop data flow diagrams, process workflows, and technical documentation.
Support data governance, metadata management, and data standardization initiatives.
Collaborate with cross-functional teams to deliver scalable, high-quality data solutions.
Ensure data models are optimized for performance, scalability, and maintainability.
Participate in peer reviews and contribute to data architecture best practices.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 91135852
Position Id: 2026-209/263
Posted 22 hours ago

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