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

Anika Systems

Data Architect

Leesburg, VA · Remote

$65.25 - $84/hr

... management, and data governance, along with hands-on experience applying AI/ML, Knowledge Graphs ... This opportunity is 100% remote. Key Responsibilities Enterprise Data Architecture & Engineering

VivSoft Technologies

Data Engineer

Herndon, VA · Remote

$117K - $140K/yr

Remote, USA Clearance: Top-Secret Type: Full-time, W2 About VivSoft We are a mission-driven ... Ensure data quality, accuracy, integrity, and consistency across Personnel Vetting Management ...

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 ... Ensure data quality, accuracy, integrity, and consistency across Personnel Vetting Management ...

Deckers

Director, Data Governance

Washington, DC · Remote

United States (Remote) Interested applicants must reside in one of the following approved states ... Draft, publish, and maintain standards covering data quality, metadata management, privacy ...

System One

HR Data Analytics

Merrifield, VA · Remote

Remote Pay Rate: Open to both W2 and established 1099 options Position Type: Multiyear Contract ... The Technical Data Steward is responsible for managing metadata, data lineage, data quality, data ...

SAIC

Enterprise Data Architect

Chantilly, VA · Remote

$160K - $200K/yr

None Potential for Remote Work: ORA_ON_SITE Description SAIC is seeking an Enterprise Data ... The qualified candidate will assist and advise Government managers to develop and maintain a ...

New

AAPD

Disability Data Fellow

Washington, DC · On-site +1

$68K/yr

Location: Remote * Expected Start Date: immediately * Salary: $68,000 AAPD is seeking a highly ... Experience working with data management in a professional, academic, advocacy, or research setting

A-TEK Inc.

Data Strategist

Alexandria, VA · On-site +1

$115K - $125K/yr

This is a remote position requiring all work be performed in the continental United States. US ... Develop policies for data management, security, accessibility, and lifecycle management. * Support ...

GRVTY

Data Scientist - Cleared

Chantilly, VA · On-site +1

Management is hands off, gives the team the freedom to explore new approaches, and markets the best ... remote work) and requires a TS/SCI + Poly clearance (acceptable to this customer). What You'll be ...

BryceTech

Regulatory Data Technical Advisor

Washington, DC · On-site +1

$131K - $131K/yr

The ideal candidate is excited to develop, implement, and manage a data quality and compliance ... Learn data audit practices with possibility to assist in remote and/or on-site data audits of BARDA ...

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All JobsData Management JobsRemote Data Management JobsRemote Data Management Jobs in Reston, VA

Remote Data Management information

What are some common challenges faced in a remote data management role, and how can they be addressed?

One common challenge in remote data management is ensuring data security and integrity while working outside a traditional office environment. Remote team members must follow strict protocols for data access and regularly update security measures to protect sensitive information. Additionally, effective communication and collaboration with cross-functional teams can be more difficult remotely, so utilizing project management and communication tools is vital. Establishing clear workflows and regular check-ins helps maintain data consistency and team alignment.

What is Remote Data Management?

Remote Data Management refers to the practice of organizing, storing, securing, and analyzing data from a location outside of an organization's physical premises. Professionals in this field use cloud-based tools and remote access software to manage databases, ensure data integrity, and facilitate data sharing among distributed teams. This approach enables businesses to maintain their data infrastructure efficiently while supporting remote work and global collaboration. It also involves implementing protocols to ensure data security and compliance with relevant regulations.

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

AspectRemote Data ManagementData Analyst
CredentialsTypically requires a degree in IT, Computer Science, or related fields; certifications like Microsoft Certified Data Analyst or AWS Data AnalyticsRequires a degree in Statistics, Mathematics, or related fields; certifications like Microsoft Certified Data Analyst Associate or Tableau Desktop Specialist
Work EnvironmentPrimarily remote, working with databases, data warehouses, and cloud platformsRemote or on-site, analyzing data sets, creating reports, and visualizations
Industry UsageUsed across IT, finance, healthcare, and e-commerce sectorsCommon in finance, marketing, healthcare, and consulting industries

Remote Data Management and Data Analysts share overlapping skills in data handling and analytics, but differ mainly in focus. Remote Data Management emphasizes database administration and cloud platforms, while Data Analysts focus on interpreting data and creating insights. Both roles are vital in data-driven organizations and often collaborate to optimize data use.

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

To thrive in Remote Data Management, you need strong analytical skills, attention to detail, and a solid understanding of database concepts, often supported by a degree in information systems or a related field. Proficiency with data management tools such as SQL, Microsoft Excel, and cloud-based platforms like AWS or Google Cloud, as well as knowledge of data privacy regulations, is typically required. Excellent communication, self-motivation, and time management are important soft skills for collaborating with distributed teams and managing tasks independently. These skills ensure accurate, secure, and efficient handling of data assets while maintaining productivity and compliance in a remote work environment.

What Are Remote Jobs in Data Management?

Various types of remote data management jobs are available in healthcare and insurance, with titles like clinical data manager, analyst, and auditor. In these jobs, you manage a database and provide analysis of information related to clinical trials, medical payments, operational activities, and more. Your duties and responsibilities include generating reports, database administration, and providing support for coworkers throughout your organization, but your responsibilities can vary based on what kinds of data you store. Additionally, you work with your company’s leadership to address issues affecting the availability and use of data and proactively suggest strategies for improving efficiency and accuracy. In some roles, you also participate in project planning, resource allocation, and budgeting.

More about Remote Data Management jobs
What are the most commonly searched types of Data Management jobs in Reston, VA? The most popular types of Data Management jobs in Reston, VA are:
What are popular job titles related to Remote Data Management jobs in Reston, VA? For Remote Data Management jobs in Reston, VA, the most frequently searched job titles are:
What job categories do people searching Remote Data Management jobs in Reston, VA look for? The top searched job categories for Remote Data Management jobs in Reston, VA are:
What cities near Reston, VA are hiring for Remote Data Management jobs? Cities near Reston, VA with the most Remote Data Management job openings:
Remote Data Management jobs near you
Data Architect

Data Architect

Anika Systems

Leesburg, VA • Remote

$65.25 - $84/hr

Full-time

Re-posted 18 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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