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Remote Data Privacy Jobs in Virginia (NOW HIRING)

Comcast

Engineer 6, Machine Learning, Data & AI

Reston, VA · On-site +1

$119K - $143K/yr

... remote option.) Job Summary We are seeking a visionary Senior Technologist, Data & Agentic AI ... Partner with Security, Privacy, and Risk teams to implement responsible AI controls and secure data ...

Discovery Land Company

Vice President, Wellness

Sterling, VA · On-site +1

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

This role will be located at one of Discovery Land Company's locations or remote, with frequent ... Maintain member health data privacy and security practices consistent with applicable regulations ...

Enterprise Knowledge

Ontology Consultant

Arlington, VA · On-site +1

$110K - $150K/yr

While local candidates are preferred, we are also able to hire remote candidates residing in the ... Data Privacy Notice: Enterprise Knowledge (EK) is committed to protecting your personal information.

Cellebrite

Sales Engineer, Federal

Tysons, VA · On-site +1

... preserving data privacy. Thousands of public safety organizations, intelligence agencies and ... Proficiency in configuring and securing remote authentication via SSH keys, file transfers, and ...

Revel Staffing

IT Support Supervisor

Mount Vernon, VA · Remote

$80K - $115K/hr

We are seeking an experienced IT Support Supervisor to lead a remote team focused on IT training, ... Support system stability, application readiness, data integrity, and compliance requirements

Shift5

$170K - $200K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • PTO

About Shift5 Shift5 is building the data platform for onboard operational technology (OT). We ... Flexible work & remote work policy * Tax-deferred public transit benefits with Metro SmartBenefits ...

Maximus

Lead Security Engineer - Remote

VA · On-site +1

  • Medical

  • Life

  • Retirement

  • PTO

... data. This role supports security operations, compliance activities, vulnerability management ... 53 Security and Privacy Controls for Information Systems and Organizations - NIST 800-171 ...

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All JobsData Privacy JobsRemote Data Privacy JobsRemote Data Privacy Jobs in Virginia

Remote Data Privacy information

See Virginia salary details

$11

$49

$90

How much do remote data privacy jobs pay per hour?

As of Aug 17, 2026, the average hourly pay for remote data privacy in Virginia is $49.06, according to ZipRecruiter salary data. Most workers in this role earn between $28.29 and $64.76 per hour, depending on experience, location, and employer.

What is a remote data privacy professional?

A Remote Data Privacy professional is someone who works from a remote location to ensure that an organization’s data collection, storage, and usage practices comply with privacy laws and regulations. They help protect sensitive information, develop privacy policies, and advise on best practices for handling data securely. These professionals may also conduct risk assessments, respond to data breaches, and train staff on privacy protocols. Their work is crucial for maintaining trust with clients and avoiding legal penalties related to data misuse.

What are some common challenges faced by remote data privacy professionals and how can they be addressed?

Remote data privacy professionals often face challenges such as ensuring secure data handling practices across different devices and networks, staying updated with global privacy regulations, and maintaining effective communication with cross-functional teams. To address these, professionals should leverage encrypted communication tools, follow strict data access protocols, and participate in regular training on evolving compliance requirements. Collaborating closely with IT, legal, and business units helps ensure that privacy standards are consistently met, even in a distributed work environment.

What are the key skills and qualifications needed to thrive as a remote data privacy professional, and why are they important?

To excel as a Remote Data Privacy professional, you need a strong understanding of data protection laws (like GDPR and CCPA), risk assessment, and compliance frameworks, usually supported by a relevant degree or certification (such as CIPP or CIPM). Familiarity with data governance tools, privacy management systems, and encryption technologies is typically required. Exceptional attention to detail, problem-solving abilities, and strong communication skills set top performers apart in this role. These skills and qualifications are crucial to ensure organizations maintain regulatory compliance, protect sensitive information, and build stakeholder trust in a remote environment.

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

AspectRemote Data PrivacyRemote Data Privacy Analyst
CredentialsData privacy certifications, legal knowledgeData privacy certifications, analytical skills
Work EnvironmentRemote, compliance-focusedRemote, data analysis and privacy assessment
Industry UsageLegal, tech, healthcareTech, finance, healthcare
Job FocusDeveloping privacy policies, complianceAssessing data privacy risks, audits

Remote Data Privacy roles focus on creating privacy policies and ensuring compliance, often requiring legal and regulatory knowledge. Remote Data Privacy Analysts primarily analyze data practices, perform audits, and assess risks. Both roles are remote and industry-relevant, but differ in their core responsibilities and skill sets.

What are the most commonly searched types of Data Privacy jobs in Virginia?

The most popular types of Data Privacy jobs in Virginia are:

What are popular job titles related to Remote Data Privacy jobs in Virginia?

For Remote Data Privacy jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Remote Data Privacy jobs in Virginia look for?

The top searched job categories for Remote Data Privacy jobs in Virginia are:

What cities in Virginia are hiring for Remote Data Privacy jobs?

Cities in Virginia with the most Remote Data Privacy job openings:

Remote Data Privacy jobs near you
Infographic showing various Remote Data Privacy job openings in Virginia as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 19% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $102,051 per year, or $49.1 per hour.

Engineer 6, Machine Learning, Data & AI

Comcast

Reston, VA • On-site, Remote

$119K - $143K/yr

Full-time

Posted 5 days ago

Job description

Make your mark at Comcast -- a Fortune 30 global media and technology company. From the connectivity and platforms we provide, to the content and experiences we create, we reach hundreds of millions of customers, viewers, and guests worldwide. Become part of our award-winning technology team that turns big ideas into cutting-edge products, platforms, and solutions that our customers love. We create space to innovate, and we recognize, reward, and invest in your ideas, while ensuring you can proudly bring your authentic self to the workplace. Join us. You'll do the best work of your career right here at Comcast. (In most cases, Comcast prefers to have employees on-site collaborating unless the team has been designated as virtual due to the nature of their work. If a position is listed with both office locations and virtual offerings, Comcast may be willing to consider candidates who live greater than 100 miles from the office for the remote option.)

Job Summary

We are seeking a visionary Senior Technologist, Data & Agentic AI Enablement to shape the future of our enterprise data ecosystem and accelerate the next generation of AI-driven experiences. This enterprise leadership role is responsible for two complementary missions:
Preparing enterprise data for an Agentic AI future, ensuring data is trusted, discoverable, semantically rich, governed, and consumable by AI agents. Transforming data engineering through Agentic AI, embedding AI across the data engineering lifecycle to improve productivity, quality, reliability, and speed of delivery. The successful candidate will define the architecture, standards, and engineering patterns that enable AI to become an active participant in the design, development, testing, operation, and optimization of enterprise data platforms. This highly influential role partners closely with Data Engineering, Data Platforms, Enterprise Architecture, Security, Product, and AI teams to accelerate data modernization and AI-enabled business transformation.

Job Description

Agentic AI Transformation of Data Engineering:

Lead the strategy for integrating Agentic AI across the enterprise data engineering lifecycle, enabling AI-assisted development, operations, and platform management.

Responsibilities include:

  • Define the enterprise roadmap for incorporating AI agents into data engineering workflows, platform operations, and software delivery.
  • Partner with platform engineering teams to integrate AI capabilities into CI/CD, Infrastructure-as-Code (IaC), and DevSecOps practices.
  • Evaluate emerging agent frameworks, copilots, and autonomous engineering platforms for enterprise adoption.
  • Establish best practices and governance for AI-assisted engineering and operational processes.
Enterprise Data Strategy for AI & Agentic Systems:

Develop and drive the enterprise strategy for preparing data assets to support AI, Generative AI, and Agentic AI use cases.

Responsibilities include:

  • Define principles and reference architectures that enable AI agents to discover, access, understand, and act upon enterprise data safely and effectively.
  • Partner with business and technology leaders to identify high-value opportunities for Agentic AI solutions.
  • Establish enterprise standards that align data, AI, and business strategies.
Data Architecture & AI Readiness

Lead architectural efforts to ensure enterprise data is optimized for both human and AI consumption.

Responsibilities include:

  • Establish standards that ensure data is:
    • Discoverable
    • Well-described and semantically rich
    • Governed and trusted
    • Accessible through standardized interfaces
    • Consumable by both people and AI agents
  • Drive adoption of metadata-driven architectures, semantic models, knowledge graphs, and business ontologies.
  • Ensure enterprise data products support machine-to-machine interactions in addition to traditional analytics use cases.
Agentic Data Enablement:

Define the frameworks that enable AI agents to effectively interact with enterprise data and knowledge assets.

Responsibilities include:

  • Establish standards for exposing enterprise data through APIs, semantic layers, data products, and retrieval systems.
  • Partner with platform teams to develop capabilities supporting:
    • Retrieval-Augmented Generation (RAG)
    • Agent orchestration platforms
    • Tool and API discovery
    • Vector-based retrieval architectures
    • Context management and memory frameworks
  • Develop patterns that allow AI agents to access enterprise knowledge securely and responsibly.
Data Governance & Trust:

Ensure governance and trust frameworks evolve to support autonomous and AI-assisted decision making.

Responsibilities include:

  • Establish controls for data lineage, provenance, quality, explainability, and auditability.
  • Partner with Security, Privacy, and Risk teams to implement responsible AI controls and secure data access practices.
  • Define trust frameworks that enable AI agents to operate within approved business guardrails.
Semantic Layer & Knowledge Management:

Drive the development of enterprise semantic capabilities that improve data accessibility and AI reasoning.

Responsibilities include:

  • Lead development of enterprise semantic models and shared business definitions.
  • Improve metadata quality, business context, and knowledge accessibility across the organization.
  • Advance enterprise knowledge management practices that enhance AI reasoning, discovery, and decision support.
Platform & Ecosystem Alignment:

Collaborate across teams to ensure enterprise platforms support AI-native consumption patterns.

Responsibilities include:

  • Partner with Data Platform, Engineering, Analytics, and Product teams to align technology roadmaps.
  • Collaborate with BI and analytics teams to maintain consistent business metrics and semantic definitions across human and AI consumers.
  • Influence technology investments that enable future AI and Agentic AI capabilities.
Innovation & Thought Leadership

Serve as a strategic thought leader on AI readiness, data modernization, and enterprise architecture.

Responsibilities include:

  • Monitor emerging trends in AI, Agentic Systems, Data Architecture, and Knowledge Management.
  • Evaluate innovative technologies and identify strategic adoption opportunities.
  • Advise executive leadership on enterprise AI strategy and future-state architecture.
Qualifications
  • + years of experience in Data Architecture, Data Engineering, Enterprise Architecture, or related technology disciplines.
  • Proven experience designing and scaling enterprise data ecosystems.
  • Experience supporting AI, machine learning, advanced analytics, or data modernization initiatives.
  • Demonstrated success influencing outcomes across large, matrixed organizations.
Technical Expertise
  • Deep understanding of modern data architectures, including data warehouses, data lakes, lakehouses, and data mesh concepts.
  • Expertise in metadata management, semantic modeling, data governance, and data product design.
  • Strong understanding of APIs, event-driven architectures, and interoperability standards.
  • Experience with AI technologies, including LLMs, RAG architectures, vector databases, agent frameworks, and AI orchestration platforms.
  • Knowledge of modern software engineering, DevSecOps, CI/CD, and cloud-native architectures.
Leadership & Communication
  • Strong executive communication and stakeholder management skills.
  • Ability to translate emerging technologies into practical enterprise strategies.
  • Proven ability to lead through influence across business and technology organizations.
  • Demonstrated thought leadership in data, AI, or enterprise architecture domains.
Preferred Candidate Profile :

A strategic technology leader with deep expertise in enterprise data architecture and a passion for advancing AI adoption. This individual combines strong technical vision, architectural leadership, and business acumen to help the organization build a trusted, AI-ready data foundation while transforming the way engineering teams work through Agentic AI.

Disclaimer:

This information has been designed to indicate the general nature and level of work performed by employees in this role. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications.

Skills

Agentic AI, AI Adoption, Data Architecture Development, Data Engineering, Data Strategies, Enterprise Data

Compensation

This job can be performed in Virginia, and District of Columbia with a Pay Range of $224,190.44 - $351,571.37Comcast intends to offer the selected candidate base pay within this range, dependent on job-related, non-discriminatory factors such as experience. The application window is 30 days from the date job is posted, unless the number of applicants requires it to close sooner or later.

Base pay is one part of the Total Rewards that Comcast provides to compensate and recognize employees for their work. Most sales positions are eligible for a Commission under the terms of an applicable plan, while most non-sales positions are eligible for a Bonus. Additionally, Comcast provides best-in-class Benefits to eligible employees. We believe that benefits should connect you to the support you need when it matters most, and should help you care for those who matter most. That's why we provide an array of options, expert guidance and always-on tools, that are personalized to meet the needs of your reality - to help support you physically, financially and emotionally through the big milestones and in your everyday life. Please visit the compensation and benefits summary on our careers site for more details.

Education

Bachelor's DegreeWhile possessing the stated degree is preferred, Comcast also may consider applicants who hold some combination of coursework and experience, or who have extensive related professional experience.

Certifications (if applicable)

Relevant Work Experience

15 Years +Comcast is an equal opportunity workplace. We will consider all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, veteran status, genetic information, or any other basis protected by applicable law.

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