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Full Time Remote Data Modeler Jobs in Washington, DC

RER SOLUTIONS, INC

Financial Modeler

Washington, DC · On-site +1

The Financial Modeler will provide onsite and remote federal program leadership. RESPONSIBILITIES ... Collaborate with cross-functional teams to gather necessary data and assumptions for model inputs

Elder Research

Data Scientist (Remote)

Arlington, VA · On-site +1

Data Scientist Workplace: Washington DC Metro Area - Remote (candidates MUST BE located in the ... Develop quantitative simulations and models to provide descriptive and predictive analytics ...

Elder Research

Data Scientist (Remote)

Arlington, VA · On-site +1

Data Scientist Workplace: Washington DC Metro Area - Remote (candidates MUST BE located in the ... Develop quantitative simulations and models to provide descriptive and predictive analytics ...

HRC Global Services

Senior Data Architect

Reston, VA · Remote

$68.75 - $92/hr

... Remote as per project requirements) Experience: 10+ Years Employment Type: Full-Time About the Role ... Develop logical and physical data models * Define enterprise data architecture standards and best ...

ICF

Manager, Data Analytics - Remote

Reston, VA · Remote

Ensure data sharing, API integration, and data access models are secure, governed, auditable, and ... The pay range for this position based on full-time employment is: $98,614.00 - $167,644.00 ...

Data Society

BI Reporting Engineer

Washington, DC · Remote

$117K - $140K/yr

This role is work-from-home (remote) though must be able to commute to client offices in Falls ... Semantic Layer & Data Modeling: Build and maintain Azure SQL reporting views, aggregations, and ...

Data Society

BI Reporting Engineer

Washington, DC · On-site +1

$129K - $155K/yr

This role is work-from-home (remote) though must be able to commute to client offices in Falls ... Semantic Layer & Data Modeling: Build and maintain Azure SQL reporting views, aggregations, and ...

Maximus

Data Scientist (Remote)

VA · On-site +1

... Full-time Description & Requirements Maximus is seeking a Data Scientist to support the ... Essential Duties and Responsibilities: - Perform hands-on data analysis and modeling with huge data ...

Maximus

Data Scientist II (Remote)

VA · On-site +1

... Full-time Description & Requirements The Data Scientist II supports the United States Special ... Essential Duties and Responsibilities: - Perform hands-on data analysis and modeling with huge data ...

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All JobsData Modeler JobsFull Time Remote Data Modeler JobsFull Time Remote Data Modeler Jobs in Washington, DC

Full Time Remote Data Modeler information

See Washington, DC salary details

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$66

$94

How much do full time remote data modeler jobs pay per hour?

As of Sep 1, 2026, the average hourly pay for full time remote data modeler in Washington, DC is $66.50, according to ZipRecruiter salary data. Most workers in this role earn between $59.62 and $77.31 per hour, depending on experience, location, and employer.

What is a full time remote data modeler?

Full Time Remote Data Modelers are professionals who design, create, and maintain data models for organizations while working from a remote location. Their main responsibility is to structure and organize data so it can be efficiently stored, accessed, and analyzed, often collaborating with data engineers, analysts, and other IT staff. Working full time means they typically work a standard 40-hour week, and since the role is remote, all communication and collaboration are done virtually. These professionals are essential for organizations that rely heavily on data-driven decision making and need robust data infrastructure. They often use tools like ERwin, SQL, or PowerDesigner and are skilled in database management and programming.

What are the key skills and qualifications needed to thrive as a full time remote data modeler?

To thrive as a Full Time Remote Data Modeler, you need expertise in database design, data modeling concepts (such as ER diagrams and normalization), and a degree in computer science or a related field. Familiarity with data modeling tools (like ER/Studio, Erwin, or SQL-based platforms) and experience with cloud databases are commonly required. Strong analytical thinking, attention to detail, and effective remote communication skills help you excel in collaborating with distributed teams. These skills are crucial for ensuring accurate data structures, efficient data flow, and seamless integration in complex, remote-driven projects.

How do full time remote data modelers typically collaborate with distributed teams to ensure data consistency and project alignment?

Full Time Remote Data Modelers usually work closely with other data professionals, such as data engineers, analysts, and business stakeholders, using collaborative tools like shared documentation, version control systems, and virtual meetings. Clear communication and regular sync-ups are essential to ensure everyone understands the data models and that standards are consistently applied across projects. These professionals often participate in daily stand-ups, design reviews, and cross-functional team discussions to address challenges, clarify requirements, and maintain alignment with business goals. Remote work requires proactive communication and a disciplined approach to documentation to avoid misinterpretations and ensure data integrity.

What is the difference between Full Time Remote Data Modeler vs Full Time Remote Data Analyst?

AspectFull Time Remote Data ModelerFull Time Remote Data Analyst
Primary RoleDesigns and develops data models and database structuresAnalyzes data to generate reports and insights
Required SkillsData modeling, database design, SQL, data warehousingData analysis, visualization, SQL, statistical tools
Work EnvironmentRemote, often collaborating with data engineers and architectsRemote, working with business teams and stakeholders
Common CertificationsCDMP, CBIP, Microsoft Certified Data AnalystMicrosoft Certified Data Analyst, SAS, Tableau certifications

While both roles work remotely and require SQL and data skills, a Full Time Remote Data Modeler focuses on designing data structures, whereas a Full Time Remote Data Analyst interprets data to support business decisions. They complement each other but serve different functions within data teams.

What are the most commonly searched types of Remote Data Modeler jobs in Washington, DC?

The most popular types of Remote Data Modeler jobs in Washington, DC are:

What are popular job titles related to Full Time Remote Data Modeler jobs in Washington, DC?

For Full Time Remote Data Modeler jobs in Washington, DC, the most frequently searched job titles are:

What job categories do people searching Full Time Remote Data Modeler jobs in Washington, DC look for?

The top searched job categories for Full Time Remote Data Modeler jobs in Washington, DC are:

Full Time Remote Data Modeler jobs near you

Data Analyst (Full-time, Remote)

Alexandria, VA • On-site, Remote

Integrity Management Services, Inc.
Business Management Consulting • 51 - 200 employees
Learn more about Integrity Management Services, Inc.external

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 4 days ago

Job description

About Us
http://www.integritym.com
Integrity Management Services, Inc. (IntegrityM) is an award-winning, women-owned small business specializing in assisting government and commercial clients in compliance and program integrity efforts, including the prevention and detection of fraud, waste and abuse in government programs. Results are achieved through data analytics, technology solutions, audit, investigation, and medical review.
At IntegrityM, we offer a culture of opportunity, recognition, collaboration, and supporting our community. We thrive off of these fundamental elements that make IntegrityM a great place to work. Our small, flexible workplace offers an exceptional quality of life and promotes corporate-driven sustainability. We deliver creative solutions that exceed goals and foster a dynamic, idea-driven environment that nurtures our employees' professional development. Large company perks...Small company feel!
Description:
In this role, the Data Analyst will provide analytical data support through data extraction, transformation, and analysis utilizing Python, SQL, and other statistical and data engineering tools. The Data Analyst will support data integration, ETL processes, reporting, and advanced analytics while working independently and collaboratively with project stakeholders to develop high-quality, data-driven solutions.
Job Responsibilities:
Business Analysis and Data Modeling
  • Design, develop, maintain, and optimize ETL (Extract, Transform, Load) processes to support data integration, validation, reporting, and analytics requirements.

  • Conduct routine and advanced business analysis using statistical techniques, data mining, and explanatory or predictive modeling to support operational and strategic decisions.

  • Build and apply complex analytical models and data solutions using tools such as Python, Snowflake, Databricks R, SQL and SAS to address project-specific requirements and support operational decision-making.

  • Research industry best practices and contribute to the development of data-driven solutions and actionable recommendations for improving business operations.

  • Write, troubleshoot, and optimize complex SQL queries, stored procedures, views, and data pipelines across relational and cloud-based data platforms.

  • Perform data profiling, cleansing, transformation, reconciliation, and quality assurance activities to ensure the accuracy and integrity of analytical datasets.

Client Engagement and Reporting
  • Collaborate with internal and external clients to gather analytical requirements and deliver ad hoc reports and data products that meet defined objectives.

  • Interpret business data and translate findings into clear, meaningful insights for diverse audiences, including technical and non-technical stakeholders.

  • Collaborate with business users, data engineers, and technical stakeholders to define data requirements and implement scalable data ingestion, transformation, and reporting solutions.

Collaboration and Communication
  • Participate in team projects and brainstorming sessions to evaluate methodologies and study designs that support program goals.

  • Communicate analytical methods and results clearly, ensuring procedures and outcomes are well understood by both technical teams and end users.

  • Research best practices and supports developing the solutions and recommendations for the current business operations.

  • Performs routine business analysis using various techniques (e.g. statistical analysis, explanatory and predictive modeling, data mining).

  • Provides business data interpretation.

  • Maintains strict confidentiality and security of all sensitive and/or business confidential information obtained or accessed during the course of business and/or contract operations.

  • Ensures compliance with all applicable privacy and security training requirements (both IntegrityM and external/client-based), whether on an annual or ad/hoc basis.

Requirements
  • Minimum of a Bachelor's Degree or a related discipline, or in another relevant field in health-related, scientific, or public policy/business discipline with extensive quantitative methods/statistical coursework.
  • Possesses at least 3 years of relevant experience in data analytics, SQL development, ETL processes, reporting, business intelligence, or related data management functions.
  • Strong proficiency in Python, R, SQL, and SAS, with experience utilizing cloud-based data platforms such as Snowflake and Databricks to support data analysis, project requirements, reporting, automation, and operational decision-making.
  • Experience designing, developing, maintaining, and troubleshooting ETL/ELT processes and data integration workflows within cloud-based environments such as Snowflake, Databricks, Azure, AWS, or similar platforms.
  • Strong SQL proficiency, including writing complex queries, joins, views, and stored procedures; performing data validation and performance optimization; and supporting data warehousing, reporting, and analytics initiatives.
  • Knowledge of intermediate data analysis techniques, including data profiling, trend analysis, statistical methods, and data quality assessment.
  • Responds to tasks or requests in a cooperative and timely manner.
  • Demonstrates adaptability to change and initiates or identifies change when necessary.
  • Ability to communicate effectively in writing and orally conveying results in concise yet non-technically language to a variety of different audiences.
  • Work collaboratively with team members to meet the needs of the organization.
  • Willingness to work collaboratively with team members on multiple tasks concurrently.
  • Independently can make good judgments and decisions without a high degree of supervision.
  • Detail-oriented and able to work under deadlines.
  • Ability to take initiative, to maintain confidentiality, to meet deadlines, and to work in a team environment.
  • Ability to report work activity on a timely basis.
  • Ability to multitask and prioritize assignments while meeting deadlines.
  • Must pass post hire background screening checks.
  • For remote work, required to have wired and/or wireless internet access.
  • Ability to obtain security clearance, if required by Client/Contract.

Benefits
This position is eligible for the benefits applicable to full-time regular employees, such as: vacation, sick leave, paid holidays, health insurance, dental insurance, vision insurance, short- and long-term disability, life insurance, employee assistance plan, 401(K) retirement plan, and educational benefits.
U.S. remote annual salary range: $55,000-$85,000/annual
For candidates in jurisdictions requiring range disclosure, this is the good-faith range for this role; final pay may vary by work location and job-related factors such as skills, experience, location, and internal equity. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range.
IntegrityM is an Equal Opportunity Employer and we do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, and gender identity, status as a veteran, and basis of disability or any other federal, state or local protected class.

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