Data Modeler

End client: Freddie Mac

What We're Looking For

•Core, hands-on experience in enterprise data modeling with data modeling serving as the candidate's primary responsibility and not simply exposure as part of a Data Engineering role.

•Recent hands-on experience with MongoDB, including designing or working with document-based data models.

•Strong mortgage domain experience with recent and consistent involvement in mortgage-related projects. Experience supporting Freddie Mac or Fannie Mae is highly preferred.

•Strong proficiency in SQL and hands-on experience with Snowflake.

•Experience modeling JSON and other semi-structured data.

•Solid understanding of data integration, ETL, and enterprise data architecture.

•Excellent communication and stakeholder management skills, with the ability to collaborate effectively across both technical and business teams.

•Demonstrated leadership qualities, including the ability to think independently, solve problems proactively, and contribute ideas rather than simply executing assigned tasks.

•Candidates who are already local to the McLean, VA area are strongly preferred.

Bonus Points For

•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

Technical Requirements

•Recent, hands-on MongoDB experience is now a requirement. The client is looking for candidates who have actively worked with MongoDB in their most recent roles—not just exposure or familiarity.

•Recent and consistent mortgage domain experience is also required. This should be clearly reflected throughout the candidate's resume. Experience supporting Freddie Mac or Fannie Mae is highly preferred.

Soft Skills

The client is looking for individuals who demonstrate strong leadership qualities and can think independently. They want candidates who can bring ideas to the table, solve problems proactively, and work with minimal direction and not someone who simply executes assigned tasks.