ZipRecruiter

Log In

2

Provider Data Remote Jobs in Virginia (NOW HIRING)

Anika Systems

Data Architect

Leesburg, VA · On-site +1

$64.50 - $83/hr

This opportunity is 100% remote. Key Responsibilities Enterprise Data Architecture & Engineering ... Support analysis of alternatives (AoA) for data and AI tools/platforms, providing recommendations ...

Nüvitek

Data Architect

Arlington, VA · On-site +1

$145K - $165K/yr

Remote Compensation: $145,000 - $165,000 / year Description At Nüvitek, customer success is our ... Provide recommendations for environment disaster recovery plans and migration tools. * Manage ...

Redhorse Corporation

Data Analyst

Arlington, VA · On-site +1

... for remote work to be determined by the program manager and customer. Essential Functions ... gather and provide feedback on best practices and recommended enhancements to the platform ...

VivSoft Technologies LLC

Data Engineer

Herndon, VA · On-site +1

$117K - $141K/yr

Remote, USA Clearance: Top-Secret Type: Full-time, W2About VivSoft We are a mission-driven ... Investigate and resolve data quality issues, coordinate remediation efforts with data providers ...

Booz Allen Hamilton, Inc.

Data Scientist

Arlington, VA · On-site +1

$77K - $176K/yr

Remote Work: Hybrid Job Number: R0241528 Location: Arlington,VA,US Share job via: Share Data ... Ultimately, you'll provide a deep understanding of the data, what it all means, and how it can be ...

next page

Showing results 1-20

All JobsProvider Data JobsProvider Data Remote JobsProvider Data Remote Jobs in Virginia

Provider Data Remote information

What is the difference between Provider Data Remote vs Provider Data Specialist?

AspectProvider Data RemoteProvider Data Specialist
CredentialsTypically requires healthcare data management certifications or relevant experienceOften requires similar certifications, such as medical coding or data management credentials
Work EnvironmentRemote, often independent or team-based in healthcare organizationsPrimarily office or healthcare facility-based, but can include remote options
Industry UsageCommonly used in healthcare, insurance, and medical data management

Provider Data Remote and Provider Data Specialist roles share similar credentials and industry usage, focusing on healthcare data management. The main difference lies in the work setting, with Provider Data Remote working primarily remotely, offering flexibility, while Provider Data Specialist roles may be more office-based. Both roles are essential for maintaining accurate provider information in healthcare systems.

What does a Provider Data Remote do?

A Provider Data Remote is responsible for managing and maintaining healthcare provider information, such as credentials, contact details, and contract status, within a healthcare organization's database. This role is typically performed remotely and involves verifying data accuracy, updating records, and ensuring compliance with regulatory requirements. Provider Data Remotes collaborate with providers, insurance companies, and internal teams to resolve discrepancies and support network operations. Strong attention to detail, data management skills, and familiarity with healthcare terminology are essential for success in this position.

What are some common challenges faced by Provider Data Remote professionals, and how can they be managed?

Provider Data Remote professionals often encounter challenges such as managing large volumes of complex provider information, ensuring data accuracy, and keeping up with frequent updates from multiple sources. Working remotely can also mean collaborating with cross-functional teams in different locations, which requires strong communication and organizational skills. To manage these challenges, it's helpful to use standardized data management tools, establish clear communication protocols with team members, and stay updated on industry regulations related to provider data.

What are the key skills and qualifications needed to thrive as a Provider Data Remote specialist, and why are they important?

To thrive as a Provider Data Remote specialist, you need strong attention to detail, data entry proficiency, knowledge of healthcare terminology, and typically an associate's or bachelor's degree in a related field. Familiarity with provider data management systems, Microsoft Excel, and claims processing software is commonly required, along with experience using databases like Facets or CAQH. Excellent organizational skills, problem-solving abilities, and clear communication help you stand out in this role. These skills ensure the accuracy and integrity of provider data, supporting efficient healthcare operations and compliance.
What are the most commonly searched types of Provider Data jobs in Virginia? The most popular types of Provider Data jobs in Virginia are:
What are popular job titles related to Provider Data Remote jobs in Virginia? For Provider Data Remote jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Provider Data Remote jobs in Virginia look for? The top searched job categories for Provider Data Remote jobs in Virginia are:
What cities in Virginia are hiring for Provider Data Remote jobs? Cities in Virginia with the most Provider Data Remote job openings:
Provider Data Remote jobs near you
Data Architect

Data Architect

Anika Systems

Leesburg, VA • On-site, Remote

$64.50 - $83/hr

Full-time

Posted 25 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).

Apply