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Full Time Remote Data Modeler Jobs in Washington, DC

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

Mid-Level Data Architect(Remote)

Reston, VA ยท Remote

$65.25 - $84/hr

... Full-Time About the Role We are looking for a Mid-Level Data Architect to support the design ... Develop logical and physical data models * Support cloud-based data platform implementation * Build ...

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 ...

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 ...

Data Scientist (Remote)

Washington, DC ยท On-site +1

$135K - $150K/yr

... models and predictive analytics; maintain and update ETL pipelines for manpower and personnel data ... This is a full-time opportunity. We can offer a competitive salary and a comprehensive benefits ...

... models and predictive analytics; maintain and update ETL pipelines for manpower and personnel data ... This is a full-time opportunity. We can offer a competitive salary and a comprehensive benefits ...

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 ...

Senior Data Architect

Reston, VA ยท 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 ...

Data Engineer (DoD Secret | Remote)

Washington, DC ยท Remote

$129K - $155K/yr

Remote (U.S. Based) Clearance: Active DoD Secret Clearance (or higher) Make an Impact on Military ... Strong understanding of ETL/ELT design, data modeling, and governance in distributed systems

Data Scientist (Remote)

VA ยท 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 ...

BI Reporting Engineer

Washington, DC ยท 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 ...

BI Reporting Engineer

Washington, DC ยท 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 ...

ML Data Engineer

Sterling, VA ยท Remote

$100K - $150K/yr

ML Data Engineer Location: 100% Remote (United States) Position Type: Full-time, Direct W2 Salary ... Strong understanding of distributed systems, data modeling, and storage formats. * Experience with ...

... 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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Showing results 1-20

Full Time Remote Data Modeler information

See Washington, DC salary details

$11

$66

$94

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

As of Aug 11, 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.

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 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.
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:

Medicaid Economics Data Analyst - Full Time - Remote Role

GD Resources

Sterling, VA โ€ข Remote

Full-time

Re-posted 7 days ago


Job description


Data Analyst III – Medical Economics
Location: Fully Remote (CST/EST preferred; CA candidates must start ~6:00am PST)
Type: Permanent
Salary: $85,000–$95,000 base + 8% target bonus 
Industry: Healthcare / Managed Care
Overview
We are expanding our Medical Economics team and are seeking a Data Analyst III with strong managed care analytics experience. This role focuses on Medicare, Medicaid, and Marketplace analytics, reimbursement methodologies, and financial performance insights that support affordability, quality, and MLR targets.
The ideal candidate has hands-on experience working with large healthcare datasets, payment methodologies, and cross-functional stakeholders, with exposure to actuarial or medical economics workstreams.
Key Responsibilities
  • Analyze Medicare, Medicaid, and Marketplace data to support medical cost, utilization, and reimbursement insights
  • Develop and maintain complex SQL queries to extract, validate, and analyze large datasets
  • Perform financial and medical cost analyses related to payment and reimbursement methodologies (DRG, APC, EAPG)
  • Build and maintain Power BI dashboards using DAX and Power Pivot to track KPIs, MLR, and QAI initiatives
  • Create advanced Excel models using Pivot Tables, Power Query, nested formulas, and lookups to support financial modeling
  • Collaborate with Medical Economics, Actuarial, Finance, and other cross-functional teams
  • Support evaluation of Quality & Affordability Initiatives (QAI) and Medical Loss Ratio (MLR) performance
  • Ensure data accuracy through validation, reconciliation, and documentation

Required Qualifications
  • Bachelor’s degree in business, economics, statistics, mathematics, actuarial science, public health, health informatics, healthcare administration, finance, or related field
    • Equivalent experience considered
  • 4+ years of experience working with large datasets, data management, and analytics
    • OR 2+ years of IT/data-focused experience with healthcare exposure
  • Strong experience in Managed Care / Medical Economics analytics
  • Demonstrated knowledge of payment and reimbursement methodologies (DRG, APC, EAPG)
  • Advanced SQL skills (complex SELECTs, multiple JOINs, subqueries)
  • Advanced Excel skills (Pivot Tables, Power Query, VLOOKUP/XLOOKUP, financial modeling)
  • Power BI experience, including DAX and Power Pivot

Preferred / Nice-to-Have
  • Experience with actuarial or financial analytics in a healthcare setting
  • Exposure to Python and/or R
  • Consulting experience within managed care or medical economics

Additional Notes
  • No relocation available
  • No sponsorship
  • This is a new position due to team expansion
  • Candidates with actuarial-adjacent experience or prior medical economics consulting backgrounds have been especially successful in this team

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