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Remote Data Modeler Jobs in Virginia (NOW HIRING)

Anika Systems

Data Engineer

Leesburg, VA · On-site +1

$115K - $139K/yr

This opportunity is 100% remote. The ideal candidate has hands-on experience with ETL/ELT pipelines ... Context Engineering & Data Modeling Support * Apply context engineering principles to ensure data ...

Shift5

Data Engineer

Arlington, VA · Remote

$130K - $170K/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 SmartBenefits ...

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 ...

SAIC

AI Data Engineer

Fort Belvoir, VA · On-site +1

$120K - $160K/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 ...

Ad Hoc

Data Engineer III

Mclean, VA · Remote

$115K - $139K/yr

Data Engineer III Job number: 820 This is a remote position. Ad Hoc is a technology company that ... data modeling, ETL process, and distributed computing 3. Bachelor's degree in Computer Science ...

Shift5

$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 SmartBenefits ...

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 ...

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Team Velocity

Senior Data Engineer

Herndon, VA · On-site +1

$109K - $148K/yr

Develop and optimize data models and enterprise data structures that support reporting, analytics ... Experience working in a remote-first environment. COMPENSATION Compensation commensurate on ...

BWX Technologies

Engineering Data Scientist

Lynchburg, VA · On-site +1

$62K - $97K/yr

This hybrid position is based in Lynchburg, VA with potential for some remote work. If you are ... Your data models may also validate or augment physics models to support design, predict quality ...

BWX Technologies

Engineering Data Scientist

Lynchburg, VA · On-site +1

$62K - $97K/yr

This hybrid position is based in Lynchburg, VA with potential for some remote work. If you are ... Your data models may also validate or augment physics models to support design, predict quality ...

Team Velocity

Senior Data Engineer

Herndon, VA · Remote

$150K - $195K/yr

Develop and optimize data models and enterprise data structures that support reporting, analytics ... Experience working in a remote-first environment. COMPENSATION Compensation commensurate on ...

Parsons

Data Analytics Architect

Alexandria, VA · On-site +1

Implement data models, schemas, and metadata structures optimized for analytics, machine learning ... FAA Part 107 Remote Pilot Certification (required) Physical Requirements / Working Conditions ...

MetaPhase Consulting

Lead Data Engineer

Reston, VA · Remote

$106K - $140K/yr

Maintain and enhance data models (ERDs), Data Dictionaries (DD), Source-to-Target mappings (STM)and ... Remote. Travel * N/A Education Level * Bachelor's degree in data analytics engineering, computer ...

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All JobsRemote Data Modeler JobsRemote Data Modeler Jobs in Virginia

Remote Data Modeler information

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 the most commonly searched types of Data Modeler jobs in Virginia? The most popular types of Data Modeler jobs in Virginia are:
What are popular job titles related to Remote Data Modeler jobs in Virginia? For Remote Data Modeler jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Remote Data Modeler jobs in Virginia look for? The top searched job categories for Remote Data Modeler jobs in Virginia are:
What cities in Virginia are hiring for Remote Data Modeler jobs? Cities in Virginia with the most Remote Data Modeler job openings:
Remote Data Modeler jobs near you
Infographic showing various Remote Data Modeler job openings in Virginia as of June 2026, with employment types broken down into 2% As Needed, 74% Full Time, 14% Part Time, and 10% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution.
Data Engineer

Data Engineer

Anika Systems

Leesburg, VA • On-site, Remote

$115K - $139K/yr

Full-time

Posted 9 days ago

Job description

Anika Systems is seeking a skilled Data Engineer to design, build, and optimize scalable data pipelines and platforms supporting federal clients. This role will play a critical part in enabling enterprise data strategies, supporting Office of the Chief Data Officer (OCDO) initiatives, and delivering high-quality, trusted data for analytics, reporting, and mission operations.
This opportunity is 100% remote.
The ideal candidate has hands-on experience with ETL/ELT pipelines, XBRL data processing, Apache Iceberg-based architectures, and advanced data optimization techniques such as materialized views and context-aware data engineering. This role also requires proficiency in AI tools and AI-assisted development workflows, along with experience building and deploying CI/CD pipelines for data and analytics platforms.
Key Responsibilities
Data Pipeline Development & ETL/ELT
  • Design, develop, and maintain robust ETL/ELT pipelines to ingest, transform, and deliver data across enterprise platforms.
  • Build scalable data ingestion frameworks for structured and semi-structured data, including XBRL filings and financial datasets.
  • Implement data transformation logic to support analytics, reporting, and regulatory use cases.
  • Ensure data pipelines are reliable, performant, and scalable in cloud environments.
  • Leverage AI-assisted development tools to accelerate pipeline development, testing, and optimization.
Cloud Data Platforms & Iceberg Architecture
  • Develop and manage data solutions leveraging AWS services (e.g., S3, Airflow, DAGs, Glue, Lambda, Redshift).
  • Implement and optimize Apache Iceberg table formats for large-scale, ACID-compliant data lakes.
  • Support lakehouse architectures that unify data lakes and data warehouses.
  • Optimize data storage and retrieval strategies for performance and cost efficiency.
  • Enable data platforms that support AI/ML workloads and downstream generative AI use cases.
CI/CD & DataOps Engineering
  • Design and implement CI/CD pipelines for data pipelines, infrastructure, and analytics code using tools such as GitHub Actions, GitLab CI, Jenkins, or AWS-native services.
  • Automate build, test, and deployment processes for ETL pipelines and data platform components.
  • Implement DataOps best practices, including version control, automated testing, environment promotion, and rollback strategies.
  • Ensure reproducibility, reliability, and governance of data pipeline deployments across environments.
  • Integrate AI-driven testing and monitoring tools to improve pipeline quality and reduce operational risk.
Data Optimization & Performance Engineering
  • Design and implement materialized views and other performance optimization techniques to improve query efficiency.
  • Tune data pipelines and queries for performance, scalability, and cost.
  • Implement partitioning, indexing, and caching strategies aligned to workload patterns.
XBRL & Financial Data Processing
  • Develop pipelines to ingest, parse, and normalize XBRL (eXtensible Business Reporting Language) data.
  • Support regulatory and financial data use cases requiring high accuracy and traceability.
  • Ensure alignment with data standards and validation rules for financial reporting datasets.
Context Engineering & Data Modeling Support
  • Apply context engineering principles to ensure data is enriched with meaningful metadata, lineage, and business context.
  • Collaborate with Data Architects to support data modeling, schema design, and entity relationships.
  • Enable downstream analytics and AI use cases by structuring data for usability, discoverability, and governance.
Metadata, Data Catalog, and Governance Integration
  • Integrate pipelines with enterprise data catalogs and metadata management systems.
  • Support automated metadata capture, lineage tracking, and data quality monitoring.
  • Ensure alignment with data governance frameworks and standards established by OCDO organizations, including AI data readiness and traceability.
Stakeholder Collaboration & Agile Delivery
  • Collaborate with data architects, analysts, and business stakeholders to understand data needs and deliver solutions.
  • Participate in stakeholder listening campaigns, workshops, and data discovery efforts.
  • Work in Agile teams to iteratively deliver data capabilities and enhancements.
  • Contribute to identifying and implementing AI-driven efficiencies and automation opportunities across the data lifecycle.
Required Qualifications
  • Bachelor's degree in Computer Science, Engineering, Data Science, or related field.
  • 5+ years of experience in data engineering, ETL development, or data platform engineering.
  • Strong hands-on experience with:
    • ETL/ELT tools and frameworks
    • AWS data services (S3, Glue, Lambda, Redshift, etc.)
    • Apache Iceberg and modern data lake architectures
  • Experience designing and implementing CI/CD pipelines for data platforms and ETL workflows.
  • Demonstrated proficiency using AI tools and AI-assisted development workflows (e.g., LLM copilots, automated code generation, pipeline optimization tools).
  • Experience processing XBRL or complex financial/regulatory datasets.
  • Proficiency in SQL and Python.
  • Experience implementing materialized views and query optimization techniques.
  • Understanding of data modeling concepts and metadata management.
  • Familiarity with data governance, data quality practices, and data readiness for AI/ML use cases.
  • Ability to work in Agile, DevOps-oriented environments.
  • U.S. Citizenship required; ability to obtain and maintain a federal clearance.
Preferred Qualifications
  • Experience supporting federal agencies such as SEC, DHS, Treasury, or Federal Reserve System.
  • Familiarity with data catalog tools (e.g., Collibra, Alation, ServiceNow).
  • Experience with Apache Spark, Kafka, or other distributed data processing frameworks.
  • Experience enabling data pipelines for AI/ML or generative AI applications.
  • Knowledge of data maturity frameworks (e.g., EDM DCAM, TDWI).
  • Exposure to context engineering or semantic data layer design.
  • AWS or data engineering certifications.
  • Experience with infrastructure-as-code (IaC) tools (e.g., Terraform, CloudFormation) in support of CI/CD pipelines.

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