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Remote Data Modeler Jobs in Reston, VA (NOW HIRING)

SAIC

Data Scientist

Springfield, VA · Remote

$120K - $160K/yr

TS/SCI with Poly Potential for Remote Work: ORA_ON_SITE Description The Data Scientist will apply ... Analytical Model Support: Integrate, develop, and maintain analytic models, visualizations, and ...

AAMC

Data Engineering Specialist

Washington, DC · On-site +1

$95K - $112K/yr

HybridWork - Primarily remote roles with theabilityto work across the U.S. * Comprehensive Health ... Work with senior engineers and architects toimplement data models and contribute to ...

Booz Allen Hamilton, Inc.

Data Scientist

Mclean, VA · On-site +1

$99K - $225K/yr

Remote Work: No Job Number: R0229817 Location: McLean,VA,US Share job via: Share Data Scientist The ... Experience developing predictive data models, quantitative analyses, and visualization of targeted ...

Booz Allen Hamilton, Inc.

Data Scientist

Mclean, VA · On-site +1

$99K - $225K/yr

Remote Work: No Job Number: R0229815 Location: McLean,VA,US Share job via: Share Data Scientist The ... Experience developing predictive data models, quantitative analyses, and visualization of targeted ...

Booz Allen Hamilton, Inc.

Data Scientist

Mclean, VA · On-site +1

$99K - $225K/yr

Remote Work: No Job Number: R0236797 Location: McLean,VA,US Share job via: Share Data Scientist The ... Experience developing predictive data models, quantitative analyses, and visualization of targeted ...

Team Velocity

Senior Data Engineer

Herndon, VA · On-site +1

$150K - $180K/yr

This is a full-time, salaried, remote position. Candidate must reside within the Continental U.S ... Develop and optimize data models and enterprise data structures that support reporting, analytics ...

Team Velocity

Senior Data Engineer

Herndon, VA · Remote

$150K - $180K/yr

This is a full-time, salaried, remote position. Candidate must reside within the Continental U.S ... Develop and optimize data models and enterprise data structures that support reporting, analytics ...

SAIC

AI Data Engineer

Fort Belvoir, VA · On-site +1

$160K - $200K/yr

TS/SCI with Poly Potential for Remote Work: ORA_ON_SITE Description SAIC is seeking an AI Data ... Translate business requirements into logical data models to support entity relationships and data ...

Shift5

Staff Data Engineer

Arlington, VA · Remote

$185K - $220K/yr

Partner with data scientists and engineers to create semantic data models representing complex ... Flexible work & remote work policy  * Tax-deferred public transit benefits with Metro ...

VIS IT Solutions Inc

MongoDB Analyst

Dulles, VA · Remote

Remote We are seeking a skilled MongoDB Analyst to manage, analyze, and optimize large-scale NoSQL databases. The ideal candidate will be responsible for designing data models, ensuring data ...

Excella

Senior Consultant Data Analyst

Arlington, VA · On-site +1

$98K - $124K/yr

Senior Consultant Data Analyst Arlington, Virginia, United States, Remote Application Excella is a ... Design conceptual data models, entity relationship diagrams, and business process models. 

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Remote Data Modeler information

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$10

$61

$86

How much do remote data modeler jobs pay per hour?

As of Jul 21, 2026, the average hourly pay for remote data modeler in Reston, VA is $61.08, according to ZipRecruiter salary data. Most workers in this role earn between $54.76 and $71.01 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Remote Data Modeler position, and why are they important?

A Remote Data Modeler should possess strong skills in data modeling concepts, database design, and a background in computer science or a related field. Expertise in tools such as ER/Studio, SQL, and familiarity with cloud data platforms (e.g., AWS, Azure) and relevant certifications like CDMP are highly valued. Exceptional analytical thinking, communication, and self-management abilities set top performers apart, especially when collaborating with distributed teams. These skills enable the creation of accurate, scalable data models and ensure effective remote collaboration on complex data projects.

What does a typical day look like for a Remote Data Modeler?

A typical day for a Remote Data Modeler involves collaborating with stakeholders to gather data requirements, designing and updating data models, and documenting structures for existing or new systems. You’ll spend significant time working with modeling tools, writing or reviewing database scripts, and participating in virtual meetings to ensure alignment with development teams and business analysts. Regular tasks include data mapping, troubleshooting modeling issues, and updating data dictionaries. The role requires balancing focus time for deep analysis with clear virtual communication to ensure projects progress smoothly.

What is a Remote Data Modeler job?

A Remote Data Modeler is responsible for designing, implementing, and optimizing data models that support business intelligence, analytics, and database management. They work with large datasets, ensuring data is structured efficiently for performance and scalability. This role often involves collaboration with data engineers, analysts, and business stakeholders to define data requirements. Since it's a remote position, strong communication and self-management skills are crucial for success.

What are popular job titles related to Remote Data Modeler jobs in Reston, VA? For Remote Data Modeler jobs in Reston, VA, the most frequently searched job titles are:
What job categories do people searching Remote Data Modeler jobs in Reston, VA look for? The top searched job categories for Remote Data Modeler jobs in Reston, VA are:
What cities near Reston, VA are hiring for Remote Data Modeler jobs? Cities near Reston, VA with the most Remote Data Modeler job openings:
Remote Data Modeler jobs near you
Infographic showing various Remote Data Modeler job openings in Reston, VA as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, 1% Temporary, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $127,051 per year, or $61.1 per hour.
Data Scientist (Vantage) - Clearance Required

Data Scientist (Vantage) - Clearance Required

LMI

Crystal City, VA • On-site, Remote

Other

Posted 6 days ago

Job description

Overview
LMI is seeking a Data Scientist to assist with Army data model, pipeline, and visualization development. This Data Scientist will create data models working from mock visualizations and raw data inputs; leverage python, PySpark, Foundry, and code repositories to develop an architecture plan; extract, transform, and load data into Vantage; and use Vantage workshops to develop visualizations. Active Secret clearance required.
Location: Hybrid; at least 3 days on client site in Crystal City VA or Aberdeen MD. Open to Remote
LMI is a new breed of digital solutions provider dedicated to accelerating government impact with innovation and speed. Investing in technology and prototypes ahead of need, LMI brings commercial-grade platforms and mission-ready AI to federal agencies at commercial speed.
Leveraging our mission-ready technology and solutions, proven expertise in federal deployment, and strategic relationships, we enhance outcomes for the government, efficiently and effectively. With a focus on agility and collaboration, LMI serves the defense, space, healthcare, and energy sectors-helping agencies navigate complexity and outpace change. Headquartered in Tysons, Virginia, LMI is committed to delivering impactful results that strengthen missions and drive lasting value.
Responsibilities
Core Responsibilities:
  • Data Engineering: Extract, transform, and load data using big data platforms like Palantir Foundry, loading data into data visualizations, transforming data using python and low code data pipeline building tools.
  • Workflow Development: Build low-code no-code applications that allow end users to see real-time readiness dashboards.
  • Data Integration: Automate and clean the ingestion of data from legacy systems so it's useful for decision-making.
  • Predictive Analytics: Create models to forecast equipment failures, personnel shortages, or budget overruns.
  • PI Planning: Help with feature writing, task decomposition, acceptance criteria, user stories, and processes for extracting dependencies from descriptive models.
  • Ad-Hoc Reporting: Quickly answer critical information requirements by pulling data across different domains, ability to gather customer requirements and deliver a comprehensive statistical analysis to answer their questions.

General Responsibilities:
  • Support project management over data activities to ensure timely delivery in a reactive and agile environment.
  • Engage technical and functional program SMEs, and key data stakeholders to understand business processes, analytical requirements, key data elements, data protection guidelines, etc.
  • Define and develop techniques to integrate, consolidate, and structure data for analytical use.
  • Create data pipelines in python, going from raw data to data products needed for visualization or other analytics products.
  • Understand and analyze complex and organization-specific datasets.
  • Transform data and analysis into informative visualizations and interactive dashboards using open-source and commercially available visualization and dashboard tools.
  • Propose alternative designs and processes to manage various types of data using both standard and custom tables and fields.
  • Provide recommendations for improvements in data strategies to include changes to governance, stewardship, integration, and standardization.

Qualifications
Qualifications:
  • Bachelor's degree in data science, mathematics, statistics, economics, computer science, engineering, or other related business or quantitative discipline preferred. Relevant experience considered in lieu of a degree.
  • Active DoD Secret clearance required. Must have at a minimum, an Interim Secret Clearance.
  • 10 years of experience with Python, and strong experience with PySpark or similar big data libraries.
  • Knowledge of Army Vantage and data environment standardization.
  • Experience working with data analysis tools including object-oriented programming (Python, Java, SQL, TypeScript), computational analysis tools (R, MATLAB), and associated data science libraries (scikit-learn).
  • Experience developing and implementing statistical, machine learning, and heuristic techniques to create descriptive, predictive, and prescriptive analytics as well as to develop statistical tests to make data-driven recommendations and decisions
  • Experience creating meaningful data visualizations and interactive dashboards using platforms such as Tableau, Qlik, Power BI, RShiny, plotly, or d3.js to communicate findings and relate them back to how insights create business impact
  • Experience with data modeling, building "objects" (e.g., "Soldier," "Tank," "Unit") and defining how they relate to one another in the Foundry environment.
  • Strong background in DevOps and Software Engineering, including GitLab CI/CD, Infrastructure as Code, and implementing Quality Assurance practices like Test-Driven Development (TDD) and unit testing (Pytest).
  • Proven ability to design and scale Medallion Lakehouse Architectures, implement Data Mesh concepts, and utilize Dimensional Modeling (Star Schemas) on cloud platforms like Databricks or DoD Advana.
  • Innovative problem solving and root cause identification skills.
  • Superior communication skills, both oral and written.
  • Able to work effectively at all levels of an organization.
  • Must be a team player and able to work with and through others.
  • Ability to influence and align others and move toward a common vision or goal.
  • Federal government agency experience required

Desired:
  • Master's degree (preferred) in data science, mathematics, statistics, economics, computer science, engineering, or other related business or quantitative discipline.
  • Experience with authoritative data sources, including IPPS-A / MILPDS, GCSS-Army, GFEBS, DTMS / MEDPROS.
  • Experience with Army Vantage
  • Experience with efforts focused on understanding interdependencies of programs within an organization.

Travel: Minimal, less than 10%
Location: Hybrid; at least 3 days on client site in Crystal City VA or Aberdeen MD. Open to Remote
Target salary range: $111,426 - $150,000
Disclaimer: The salary range displayed represents the typical salary range for this position and is not a guarantee of compensation. Individual salaries are determined by various factors including, but not limited to location, internal equity, business considerations, client contract requirements, and candidate qualifications, such as education, experience, skills, and security clearances.
#LI-SH1
Applicants must meet eligibility requirements for a U.S. Government security clearance. Only US Citizens are eligible for a security clearance. For this position, LMI will only consider applicants with security clearances or applicants who are eligible for security clearances, due to the nature of the work.
Job Locations
US-VA-Crystal City
US-MD-Belcamp
US-Remote

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