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Data Integration Remote Jobs in Virginia (NOW HIRING)

Anika Systems

Data Architect

Leesburg, VA · On-site +1

$64.50 - $83/hr

... can integrate emerging techniques such as GraphRAG into enterprise data platforms. This opportunity is 100% remote. Key Responsibilities Enterprise Data Architecture & Engineering * Design and ...

Apex Systems

Ariba/Workday Integration Developer

Richmond, VA · Remote

$49.75 - $66/hr

Job#: 3022331 Workday Integration Developer - REMOTE Qualifications: Platform Application Developer ... Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You ...

1872 Consulting

Data Engineer

Reston, VA · Remote

$119K - $143K/yr

Software Engineer This position is fully remote with the option to work in one of our East Coast ... Position Summary As a software engineer, you will be working as a member of our Data Integration ...

INflow Federal

Data Engineer

Arlington, VA · Remote

$131K - $158K/yr

The Data Engineer will ensure accurate, reliable, and performant data flow across applications ... integration. This is a fully remote position. Here, your work is more than a job - it's a journey ...

INflow Federal

Data Engineer

Arlington, VA · On-site +1

$131K - $158K/yr

The Data Engineer will ensure accurate, reliable, and performant data flow across applications ... integration. This is a fully remote position. Here, your work is more than a job - it's a journey ...

RIT Solutions, Inc.

Azure/Gen AI Data Engineer

Arlington, VA · Remote

$131K - $158K/yr

Fully Remote, supporting est hours MID LEVEL or SENIOR CANDIDATE IS FINE Video interview process ... Hands on experience with Azure Data Factory, Azure Databricks and Fabric for data integration and ...

Booz Allen Hamilton, Inc.

Data Engineer

Mclean, VA · On-site +1

$77K - $176K/yr

Remote Work: Yes Job Number: R0239684 Location: McLean,VA,US Share job via: Share Data Engineer The ... Experience ingesting and integrating data from multiple sources such as APIs, flat files, and ...

Imagineeer LLC

Database Architect

Arlington, VA · On-site +1

$150K - $160K/yr

Architect and support data integration strategies across enterprise systems , APIs, and service ... This is a remote position. Compensation: $150,000.00 - $160,000.00 per year About Us Our Approach ...

Hire Talent

Senior Data Engineer

Mclean, VA · Remote

$108K - $147K/yr

Remote The purpose of this position is to manage and enhance the Unified Data Platform (UDP ... integration, transformation, and accessibility of enterprise data assets. You'll lead the ...

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All JobsData Integration JobsData Integration Remote JobsData Integration Remote Jobs in Virginia

Data Integration Remote information

What is the difference between Data Integration Remote vs Data Analyst Remote?

AspectData Integration RemoteData Analyst Remote
Required SkillsData mapping, ETL tools, database managementData visualization, statistical analysis, SQL
CertificationsETL, data management certificationsGoogle Data Analytics, Microsoft Excel certifications
Work EnvironmentPrimarily technical, working with databases and data pipelinesAnalytical, reporting-focused, using visualization tools
Industry UsageData engineering, integration projectsBusiness intelligence, reporting, insights

While both roles involve working with data remotely, Data Integration Remote focuses on connecting and managing data sources through ETL processes and database management. Data Analyst Remote emphasizes analyzing data, creating reports, and visualizations to support business decisions. Understanding these differences helps job seekers target roles aligned with their skills and career goals.

What are the most commonly searched types of Data Integration jobs in Virginia? The most popular types of Data Integration jobs in Virginia are:
What are popular job titles related to Data Integration Remote jobs in Virginia? For Data Integration Remote jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Data Integration Remote jobs in Virginia look for? The top searched job categories for Data Integration Remote jobs in Virginia are:
What cities in Virginia are hiring for Data Integration Remote jobs? Cities in Virginia with the most Data Integration Remote job openings:
Data Integration Remote jobs near you
Infographic showing various Data Integration Remote job openings in Virginia as of May 2026, with employment types broken down into 93% Full Time, 4% Part Time, and 3% Contract. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution.
Data Architect

Data Architect

Anika Systems

Leesburg, VA • On-site, Remote

$64.50 - $83/hr

Full-time

Posted 12 days ago

Job description

Anika Systems is seeking a highly skilled Data Architect to lead the design and implementation of enterprise data architectures supporting federal clients. This role will be instrumental in shaping data strategy, enabling data-driven decision-making, and supporting the establishment and maturation of Office of the Chief Data Officer (OCDO) organizations.
The ideal candidate brings deep expertise in enterprise data modeling, cloud-based data platforms, metadata management, and data governance, along with hands-on experience applying AI/ML, Knowledge Graphs, and semantic technologies to modern data ecosystems. This role requires a forward-thinking architect who embraces AI-driven development workflows and can integrate emerging techniques such as GraphRAG into enterprise data platforms.
This opportunity is 100% remote.
Key Responsibilities
Enterprise Data Architecture & Engineering
  • Design and implement scalable enterprise data architectures leveraging AWS and Apache ecosystem technologies (e.g., Spark, Iceberg).
  • Architect modern AI-enabled data platforms, including support for machine learning, LLM integration, and retrieval-augmented generation (RAG) patterns.
  • Develop and maintain conceptual, logical, and physical data models, including Entity Relationship Diagrams (ERDs).
  • Architect modern data lakehouse and data warehouse solutions using Apache Iceberg and cloud-native services.
  • Define and enforce standards for data integration, data quality, and data lifecycle management.
  • Design and implement Knowledge Graph architectures, integrating structured and unstructured data sources.
AI, Knowledge Graphs & Semantic Architecture
  • Design and implement Knowledge Graphs and semantic data layers using ontologies, taxonomies, and linked data principles.
  • Apply GraphRAG architectures to enhance LLM-based applications with context-aware, explainable data retrieval.
  • Develop and manage ontologies and semantic models to enable interoperability, data discovery, and advanced analytics.
  • Integrate AI/ML and generative AI capabilities into enterprise data ecosystems, including vector databases and embedding pipelines.
  • Leverage AI-assisted development tools (e.g., code generation, data pipeline automation, metadata enrichment) to improve delivery speed and quality.
  • Ensure alignment between data architecture and AI governance, including model transparency, traceability, and responsible AI practices.
Metadata, Data Catalog, and Data Management
  • Establish and manage enterprise metadata frameworks, including data dictionaries, business glossaries, and technical metadata repositories.
  • Support implementation or optimization of Enterprise Data Resource Management Systems (EDRMS) and data catalog tools (e.g., Collibra, ServiceNow, or similar platforms).
  • Ensure referential integrity and traceability between data assets, metadata, ontologies, and enterprise data initiatives.
  • Design systems that enable data lineage, observability, and quality monitoring, including AI-generated metadata and lineage tracking.
Stakeholder Engagement & Data Governance
  • Lead or support stakeholder listening campaigns to gather input from executives, data leaders, and practitioners across the enterprise.
  • Collaborate with stakeholders to identify data challenges, AI use cases, and opportunities for advanced analytics and automation.
  • Support the development and maintenance of data governance frameworks, policies, and standards, including AI and semantic governance.
  • Maintain and prioritize a data initiatives backlog, ensuring alignment with mission needs and stakeholder priorities.
Agile Delivery & Continuous Improvement
  • Work within Agile frameworks to iteratively deliver data architecture and AI-enabled solutions.
  • Support analysis of alternatives (AoA) for data and AI tools/platforms, providing recommendations based on cost, capability, and mission fit.
  • Track and report on data strategy progress, maturity improvements, and program outcomes.
  • Continuously refine data architecture based on stakeholder feedback, emerging AI capabilities, and evolving organizational needs.
Required Qualifications
  • Bachelor's degree in Computer Science, Information Systems, Data Science, or related field or comparable experience.
  • 8+ years of experience in data architecture, data engineering, or enterprise data management.
  • Demonstrated experience integrating AI/ML or generative AI capabilities into data platforms.
  • Hands-on experience with:
    • AWS data services (e.g., S3, Glue, Redshift, Lake Formation)
    • Apache technologies (e.g., Spark, Iceberg, Hive)
    • Relational databases
  • Strong expertise in data modeling and ERD development.
  • Experience designing or implementing Knowledge Graphs, ontologies, or semantic data models.
  • Familiarity with Graph-based retrieval approaches (e.g., GraphRAG or similar patterns).
  • Experience implementing metadata management, data cataloging, and data governance solutions.
  • Demonstrated experience supporting federal data strategy initiatives or OCDO organizations.
  • Strong understanding of data quality, lineage, observability, and AI data readiness frameworks.
  • Proficiency with AI-assisted tools and workflows (e.g., LLM copilots, automated code generation, data augmentation tools).
  • Ability to communicate complex technical concepts to non-technical stakeholders.
  • U.S. Citizenship required; ability to obtain and maintain a federal clearance.
Preferred Qualifications
  • Experience supporting agencies such as SEC, DHS, Treasury, or Federal Reserve System.
  • Familiarity with Evidence Act, Federal Data Strategy, and CDO Council guidance.
  • Experience with Collibra, Informatica, Alation, or similar data catalog tools.
  • Experience with graph databases (e.g., Neo4j, Amazon Neptune) and vector databases.
  • Knowledge of data maturity frameworks (e.g., EDM DCAM, TDWI).
  • AWS certifications or data architecture certifications.
  • Experience implementing RAG or GraphRAG solutions in production environments.
  • Familiarity with semantic web standards (RDF, OWL, SPARQL).

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