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Senior Data Modeler Jobs in Washington (NOW HIRING)

Role Name :Sr Data Modeler Location: McLean, VA Onsite ( Locals Only ) Visa : -EAD,TN,L2 Job Type: Contract Pay Rate: $/hr on 1099 or $/hr on W2 Job Overview We are seeking a highly experienced ...

New

Job Role - Sr Data Modeler Location - McLean, VA (Onsite) Duration: 12 months Contract Title - Sr Data Modeler Location: McLean, VA (Onsite) | Type: Contract What We're Looking For * Core, hands-on ...

RIT Solutions, Inc. is seeking a Senior Data Modeler to design and optimize enterprise data models for a top-tier management consulting firm. The role involves creating scalable data structures and ...

Our client is seeking a Senior Data Modeler with 8-10 years of experience to design and maintain enterprise-scale data models supporting analytics and reporting initiatives in a financial services ...

Data Modeler

Mclean, VA · On-site

$55.25 - $71.75/hr

Senior Data Modeler Location: McLean, VA (Onsite) The Role We are seeking a Senior Data Modeler to design, develop, and optimize data models that support complex financial systems. You will work ...

Data Modeler

Mclean, VA · On-site

$56.25 - $72.75/hr

Senior Data Modeler They should have exposure to mongodb and mortgage experience The Role We are seeking a Senior Data Modeler to design, develop, and optimize data models that support complex ...

GC and Citizens only Position Title: Sr. Data Modeler/Lead Location: Reston, VA (Local or nearby) Duration: 12 Months Responsibilities The Senior Data Modeler is responsible for creating, and ...

Qualifications Job Title: Sr. Data Modeler BI Location: Washington DC Duration: 12+ months GC or Citizens Only Locals to VA, DC, MD, DE Required Skills Dimensional Modeling o At least 5 year hands on ...

Data Modeler

Mclean, VA · On-site

$55.25 - $71.75/hr

The Sr. Data Modeler will work closely with project teams to understand business requirements and provide data modeling subject matter expertise. Strong quantitative and analytic skills are required.

Urgent Need Data Modeler

Mclean, VA · On-site

$55.25 - $71.75/hr

The Sr. Data Modeler will: Develop logical and physical data models Map logical entities to the enterprise Canonical Data Model Ensure data objects adhere to defined Freddie Mac standards and best ...

Data Modeler- ONLY LOCALS - NO OPT

Mclean, VA · On-site

$55.25 - $71.75/hr

The Sr. Data Modeler will: Develop logical and physical data models Map logical entities to the enterprise Canonical Data Model Ensure data objects adhere to defined Freddie Mac standards and best ...

Local or nearby Urgent Need Data Modeler

Mclean, VA · On-site

$55.25 - $71.75/hr

The Sr. Data Modeler will: Develop logical and physical data models Map logical entities to the enterprise Canonical Data Model Ensure data objects adhere to defined Freddie Mac standards and best ...

Data Modeler - EAD GC or GC or USC ONLY

Mclean, VA · On-site

$55.25 - $71.75/hr

The Sr. Data Modeler will: Develop logical and physical data models Map logical entities to the enterprise Canonical Data Model Ensure data objects adhere to defined Freddie Mac standards and best ...

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Senior Data Modeler information

See Washington salary details

$40

$76

$96

How much do senior data modeler jobs pay per hour?

As of Aug 10, 2026, the average hourly pay for senior data modeler in Washington is $76.57, according to ZipRecruiter salary data. Most workers in this role earn between $67.79 and $86.83 per hour, depending on experience, location, and employer.

What does a senior data modeler do?

A Senior Data Modeler is responsible for designing, implementing, and managing data models that define how data is stored, organized, and accessed within an organization. They work closely with stakeholders to understand business requirements and translate them into efficient data structures, often using tools like ER diagrams and database modeling software. Senior Data Modelers ensure data integrity, optimize data flows, and support data governance initiatives. They may also mentor junior data modelers and collaborate with database administrators, data architects, and developers to deliver effective data solutions.

What is the difference between Senior Data Modeler vs Data Architect?

AspectSenior Data ModelerData Architect
Required CredentialsBachelor's or Master's in Computer Science, Data Management, or related field; certifications like CDMPBachelor's or Master's in Computer Science, Information Systems; certifications like TOGAF, CDMP
Work EnvironmentData teams, database development, data analysis projectsIT departments, enterprise data strategy, system design
Employer & Industry UsageFinance, healthcare, tech companies focusing on data modelingLarge enterprises, consulting firms, organizations with complex data infrastructure
Common Search & ComparisonOften compared for technical data modeling skillsBroader scope including data infrastructure and architecture planning

While both roles require strong data management skills and similar certifications, Senior Data Modelers focus primarily on designing and optimizing data models, whereas Data Architects develop comprehensive data strategies and oversee overall data infrastructure. The roles often collaborate but differ in scope and responsibilities.

How does a senior data modeler typically collaborate with other departments during large-scale projects?

A Senior Data Modeler often works closely with business analysts, data architects, and software engineers to ensure that data models align with both technical requirements and business objectives. Collaboration typically involves gathering requirements, translating business needs into data structures, and participating in design reviews. Senior Data Modelers also play a key role in facilitating communication between IT and non-technical stakeholders to ensure data integrity and usability across systems. Effective teamwork and clear documentation are essential to navigate the complexities of large-scale data initiatives.

What are the key skills and qualifications needed to thrive as a senior data modeler?

To thrive as a Senior Data Modeler, you need deep expertise in database design, data modeling techniques, and strong proficiency in SQL, often supported by a degree in computer science or a related field. Familiarity with data modeling tools such as ERwin, IBM InfoSphere Data Architect, or Microsoft Visio, and knowledge of database systems like Oracle or SQL Server, are typically required. Excellent analytical thinking, attention to detail, and strong collaboration and communication skills help you work effectively with cross-functional teams. These competencies ensure accurate, scalable, and efficient data structures that support business intelligence and decision-making across the organization.
What are the most commonly searched types of Data Modeler jobs in Washington? The most popular types of Data Modeler jobs in Washington are:
What are popular job titles related to Senior Data Modeler jobs in Washington? For Senior Data Modeler jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Senior Data Modeler jobs in Washington look for? The top searched job categories for Senior Data Modeler jobs in Washington are:
What cities in Washington are hiring for Senior Data Modeler jobs? Cities in Washington with the most Senior Data Modeler job openings:
What are popular job titles related to Senior Data Modeler jobs in WA? For Senior Data Modeler jobs in WA, the most frequently searched job titles are:
Infographic showing various Senior Data Modeler job openings in Washington as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $159,266 per year, or $76.6 per hour.

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Posted 3 days ago

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Job description

Role Name :Sr Data Modeler
Location: McLean, VA Onsite ( Locals Only )
Visa : -EAD,TN,L2
Job Type: Contract
Pay Rate: $/hr on 1099 or $/hr on W2
Job Overview
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.
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.
Candidates who are already local to the McLean, VA area are strongly preferred.
Key Responsibilities
  • 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.
    Required Qualifications
  • 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.
    Key Skills
Enterprise Data Modeling, Data Modeling, MongoDB, Document Data Modeling, Snowflake, SQL, JSON, Semi-Structured Data, Data Integration, ETL, Enterprise Data Architecture, Mortgage Domain, Housing Finance, Freddie Mac, Fannie Mae, Data Governance, Data Quality, Cloud Data Platforms, Stakeholder Management