ZipRecruiter

Log In

2

Remote Data Privacy Jobs in Virginia (NOW HIRING)

Apex Systems

Data Center Architect SME

Richmond, VA · On-site +1

$63 - $81.25/hr

Remote or hybrid from a partner / affiliate office Travel Requirements: Less than 5% We are seeking ... You can access our privacy policy at Everforth Apex Benefits Overview: Everforth Apex offers a ...

Unacast

Software Engineer - Core Platform

Ashburn, VA · On-site +1

$110K - $130K/yr

... data. Unacast drives smarter decision-making based on trustworthy, reliable, and privacy-friendly ... Other Info This a remote position that may require occasional travel. Preference for candidates who ...

next page

Showing results 1-20

All 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 Jun 10, 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 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 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 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 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 June 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $102,051 per year, or $49.1 per hour.

Data & Software Engineer with Security Clearance

GRVTY

Fairfax, VA • On-site, Remote

$117K - $140K/yr

Other

Posted 10 days ago

Job description

What Impact You'll Have GRVTY's team provides tactical data engineering solutions. We embed skilled Data Engineers, Data Scientists, and ETL Developers directly into intelligence analyst groups to be their go-to data wranglers. We develop new tools, code, and services to execute data engineering activities.

Our engineers work to collect, process, and feed analytic tools, turning data into intelligence in response to immediate mission needs, with direct impact on real world situations. You will see your work used here on a daily basis, and you'll have the opportunity to support a variety of Sponsor mission organizations and mission partner organizations. This is a time of development and growth on the program, with an increasing number of missions being supported.

The work is high impact and important, and the customer moves quickly. The environment is fast-paced, flexible, and open to innovation - you'll have more latitude here in choosing how to achieve results than on many other projects. The customer cares more about what you can do as opposed to your years of experience, and work hours are typically quite flexible - roll up your sleeves, get things done, and no one cares much about the specific hours that you work.

The work space itself is also quite nice, and there is an excellent cafeteria! The tech stack on this team is rather huge and includes Python (Pandas, numpy, scipy, scikit-learn, standard libraries, etc.), Python packages that wrap Machine Learning (packages for NLP, Object Detection, etc.), Linux, AWS/C2S, Apache NiFi, Spark, pySpark, Hadoop, Kafka, ElasticSearch, Solr, Kibana, neo4J, MariaDB, Postgres, Docker, Puppet, and many others. Work on this program takes place in McLean, VA and in various field offices throughout Northern VA (we cannot support remote work) and requires a TS/SCI + Polygraph clearance (acceptable to this customer).

What You'll Be Owning GRVTY is seeking a Data & Software Engineer with a TS/SCI + Poly clearance (applicable to this customer) to join one of our top projects in McLean, VA.The Data & Software Engineer works with a small team to build complex data flows for a custom application. Successful candidate will have advanced Python programming skills, familiarity with Java, an understanding of data security, privacy, governance and compliance principles and a demonstrated history of building production data pipelines and ETL workflows at scale. Candidate must have experience: * Building end-to-end data pipelines leveraging Python * Using orchestration tools to deploy data pipelines, including configuring and updating Spark Jobs * Containerizing and deploying applications in cloud environments like AWS.

* Working with MySQL and PostgreSQL including performance tuning, schema design, and query optimization for complex, analytical workloads. * Leveraging industry standard tools for code control (Git, IaaC control, etc.) * Working with data catalogs, tracking data lineage and handling a variety of data formats, including Geospatial. * Using Bash scripting for automation and data processing tasks * Integrating Al/ML services and models Responsibilities: * Work with stakeholders to understand data requirements, assess feasibility, and design appropriate solutions with minimal oversight * Leverage strong problem-solving and debugging skills for data quality issues, pipeline failures, and performance bottlenecks * Leverage a background in large-scale data migration or platform modernization efforts * Contribute to data engineering documentation, best practices, and design patterns.

What You Must Have * Active TS/SCI with Polygraph Clearance * Minimum of 5 years' experience with: * Apache Spark & PySpark * Advanced Python skills (including Pandas & NumPy) * Docker, Podman * AWS S3, Lambda & Step functions * Apache Iceberg, Airflow, etc. * SQL (with Trino) * NoSQL, DynamoDB * Unity Catalog OSS, Apache Polaris * Apache Superset * Terraform or CloudFormation * OpenLineage * H3, PostGIS #LI-BPJ

Apply