> Markdown version of [/jobs/ext/1992840-data-modeler](https://www.wearedevelopers.com/jobs/ext/1992840-data-modeler). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Modeler - **Company:** VST Consulting, Inc - **Location:** McLean, VA, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Data Architecture, Information Engineering, Data Governance, Data Integration, Extract Transform Load (ETL), Data Structures, JSON, MongoDB, SQL Databases, Enterprise Data Management, Cloud Platform System, Snowflake, Semi-structured Data, Physical Data Models - **Published:** August 8, 2026 - **Apply:** https://www.dice.com/job-detail/046ffdaf-a5d3-425d-ba66-e98231b6f64a ## About the Role The ideal candidate will have a proven track record where data modeling has been their primary responsibility, rather than being a secondary skill within a Data Engineering role. Strong experience in the mortgage/housing finance domain is essential, with experience supporting Freddie Mac or Fannie Mae highly preferred., * Strong, hands-on experience in Enterprise Data Modeling as a primary responsibility. * Recent hands-on experience with MongoDB, particularly document-based data modeling. * Strong and recent Mortgage Domain / Housing Finance experience. * Experience with Freddie Mac or Fannie Mae is highly preferred. * Strong proficiency in SQL. * Hands-on experience with Snowflake. * Experience modeling JSON and semi-structured data. * Strong understanding of Data Integration, ETL, and Enterprise Data Architecture. * Excellent communication and stakeholder management skills. * Ability to work effectively with both technical and business teams. * Strong leadership, independent problem-solving, and decision-making abilities. * Ability to work onsite in McLean, VA. Preferred / Bonus Qualifications * 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. * Experience working with financial services or mortgage-related enterprise data environments. ## Description We are seeking a highly experienced Senior Data Modeler with strong hands-on expertise in enterprise data modeling, MongoDB, Snowflake, SQL, JSON/semi-structured data, and mortgage domain data., * Design, develop, and maintain enterprise-level conceptual, logical, and physical data models. * Create data models for both structured and semi-structured data, including JSON and document-based data. * Design and work with MongoDB document-based data models. * Develop and optimize data structures and models using Snowflake and SQL. * Analyze business and technical requirements and translate them into scalable enterprise data models. * Collaborate with Data Engineering, Architecture, Business, and Technology teams to ensure data models align with enterprise standards. * Contribute to data integration, ETL, and enterprise data architecture initiatives. * Work with mortgage and housing finance data and understand the relationships between business processes, data entities, and systems. * Identify data quality, consistency, and modeling issues and proactively recommend solutions. * Communicate complex data concepts effectively to both technical and business stakeholders. * Work independently, demonstrate strong problem-solving skills, and contribute ideas and recommendations beyond assigned tasks. ## Related Videos - [NoSQL Data Modeling for Front-end Developers](https://www.wearedevelopers.com/videos/297-nosql-data-modeling-for-front-end-developers) - [Tips and Tricks for Working with JSON](https://www.wearedevelopers.com/videos/1229-tips-and-tricks-for-working-with-json) - [40 Minutes to Build a Serverless COVID-19 REST and GraphQL APIs](https://www.wearedevelopers.com/videos/208-40-minutes-to-build-a-serverless-covid-19-rest-and-graphql-apis) - [How Cisco embraced a DevOps culture within its network engineering team](https://www.wearedevelopers.com/videos/99-how-cisco-embraced-a-devops-culture-within-its-network-engineering-team) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Beyond SQL Generation: How to Teach Agents What Your Database Actually Means](https://www.wearedevelopers.com/videos/100127-beyond-sql-generation-how-to-teach-agents-what-your-database-actually-means) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Everything a Developer Needs to Know About MCP with Neo4j](https://www.wearedevelopers.com/magazine/604-everything-a-developer-needs-to-know-about-mcp-with-neo4j) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk)