2

Remote Data Protection Jobs in Virginia (NOW HIRING)

Database Architect

Arlington, VA · On-site +1

$150K - $160K/yr

Define data protection mechanisms including encryption, role-based access control, and auditing ... This is a remote position. Compensation: $150,000.00 - $160,000.00 per year About Us Our Approach ...

Remote - DMV Area/Eastern Time preferred Employment Type: 1099 Independent Contractor Position ... and data protection, CRM and lead tracking, call center/SMS operations, electronic fulfillment ...

... NONE Remote Type Hybrid Time Type Full time Description & Requirements Elder Research Inc., a ... protected under any federal, state, or local law or regulation. If you need a reasonable ...

... NONE Remote Type Hybrid Time Type Full time Description & Requirements Elder Research Inc., a ... protected under any federal, state, or local law or regulation. If you need a reasonable ...

Data Engineer III

Mclean, VA · Remote

$115K - $139K/yr

Data Engineer III This is a remote position. Ad Hoc is a technology company that empowers ... law protects from employment discrimination. We value the unique skills gained through military ...

next page

Showing results 1-20

Remote Data Protection information

See Virginia salary details

$22.9K

$97.4K

$199.4K

How much do remote data protection jobs pay per year?

As of Jun 10, 2026, the average yearly pay for remote data protection in Virginia is $97,443.00, according to ZipRecruiter salary data. Most workers in this role earn between $54,461.00 and $129,346.00 per year, depending on experience, location, and employer.

What is a Remote Data Protection job?

A Remote Data Protection job involves securing and managing sensitive digital information for organizations while working remotely. Responsibilities typically include implementing encryption protocols, monitoring for security threats, ensuring compliance with data privacy regulations, and developing disaster recovery plans. Professionals in this role work with cybersecurity tools to prevent data breaches and unauthorized access. Strong knowledge of data security frameworks and cloud protection strategies is often required.

What are some typical challenges faced in a Remote Data Protection role?

Professionals in Remote Data Protection often encounter challenges related to securing a distributed workforce, ensuring compliance with varied international regulations, and quickly addressing emerging security threats. Working remotely can mean managing security for diverse endpoints and collaborating across different time zones or teams. Staying current with evolving data privacy laws and adapting to new technologies are key ongoing tasks. Employers value candidates who can proactively identify vulnerabilities and implement robust protection measures while maintaining strong communication with non-technical colleagues.

What are the key skills and qualifications needed to thrive in the Remote Data Protection position, and why are they important?

To thrive in Remote Data Protection, you need a solid understanding of data privacy laws, risk management, and cybersecurity principles, typically supported by a degree in computer science, information security, or a related field. Familiarity with security frameworks, encryption tools, DLP (Data Loss Prevention) solutions, and certifications such as CISSP, CISM, or GDPR compliance are highly valued. Strong analytical thinking, attention to detail, and effective remote communication are essential soft skills for this role. Mastering these competencies ensures sensitive information remains secure and regulatory requirements are met in a distributed environment.

What cities in Virginia are hiring for Remote Data Protection jobs? Cities in Virginia with the most Remote Data Protection job openings:
Infographic showing various Remote Data Protection job openings in Virginia as of June 2026, with employment types broken down into 2% As Needed, 83% Full Time, 12% Part Time, and 3% Contract. Highlights an 91% Physical, 1% Hybrid, and 8% Remote job distribution, with an average salary of $97,443 per year, or $46.8 per hour.
Data Scientist (Vantage) - Clearance Required with Security Clearance

Data Scientist (Vantage) - Clearance Required with Security Clearance

LMI

Hampton, VA • On-site, Remote

Contractor

This job post has expired 1 day ago. Applications are no longer accepted.


Job description

Overview LMI is seeking a Data Scientist to assist with Army data model , pipeline, and visualization development . Th is Data Scientist will create data model s working from mock visualizations and raw data inputs ; leverage python, PySpark , Foundry, and code repositories to develop an ar chitecture plan ; extract, transform, and load data into Vantage; and use Vantage workshops to develop visualizations. Active Secret clearance required.

Location: Hybrid; at least 3 days on client site in Crystal City VA or Aberdeen MD. Open to Remote LMI is a new breed of digital solutions provider dedicated to accelerating government impact with innovation and speed. Investing in technology and prototypes ahead of need, LMI brings commercial-grade platforms and mission-ready AI to federal agencies at commercial speed.

Leveraging our mission-ready technology and solutions, proven expertise in federal deployment, and strategic relationships, we enhance outcomes for the government, efficiently and effectively. With a focus on agility and collaboration, LMI serves the defense, space, healthcare, and energy sectors-helping agencies navigate complexity and outpace change. Headquartered in Tysons, Virginia, LMI is committed to delivering impactful results that strengthen missions and drive lasting value.

Responsibilities Core Responsibilities: * Data Engineering : Extract, transform, and load data using big data platforms like Palantir Foundry , loading data into data visualizations , transforming data using python and low code data pipeline building tools. * Workflow Development : Build low-code no-code applications that allow end users to see real-time readiness dashboards. * Data Integration : Automate and clean the ingestion of data from legacy systems so it's useful for decision-making.

* Predictive Analytics : Create models to forecast equipment failures, personnel shortages, or budget overruns. * PI Planning : H elp with feature writing, task decomposition, acceptance criteria , user stories, and processes for extracting dependencies from descriptive models. * Ad-Hoc Reporting : Quickly answer critical information requirements by pulling data across different domains , ability to gather customer requirements and deliver a comprehensive statistical analysis to answer their questions.

General Responsibilities: * Support project management over data activities to ensure timely delivery in a reactive and agile environment. * Engage technical and functional program SMEs, and key data stakeholders to understand business processes, analytical requirements, key data elements, data protection guidelines, etc. * Define and develop techniques to integrate, consolidate , and structure data for analytical use .

* Create data pipelines in python , going from raw data to data products needed for visualization or other analytics products. * Understand and analyze complex and organization-specific datasets. * Transform data and analysis into informative visualizations and interactive dashboards using open-source and commercially available visualization and dashboard tools.

* Propose alternative designs and processes to manage various types of data using both standard and custom tables and fields. * Provide recommendations for improvements in data strategies to include changes to governance, stewardship, integration, and standardization. Qualifications Qualifications: * Bachelor's degree in data science, mathematics, statistics, economics, computer science, engineering, or other related business or quantitative discipline preferred .

Relevant experience considered in lieu of a degree. * Active DoD Secret clearance required . Must have at a minimum, an Interim Secret Clearance.

* 10 y ears of experience with Python, and strong experience with PySpark or similar big data libraries. * Knowledge of Army Vantage and data environment standardization. * Experience working with data analysis tools including object-oriented programming (Python, Java , SQL , TypeScript ), computational analysis tools (R, MATLAB), and associated data science libraries (scikit-learn).

* Experience developing and implementing statistical, machine learning, and heuristic techniques to create descriptive, predictive, and prescriptive analytics as well as to develop statistical tests to make data-driven recommendations and decisions * Experience creating meaningful data visualizations and interactive dashboards using platforms such as Tableau, Qlik, Power BI, RShiny , plotly , or d3.js to communicate findings and relate them back to how insights create business impact * Experience with data modeling, building "objects" (e.g., "Soldier," "Tank," "Unit") and defining how they relate to one another in the Foundry environment. * Strong background in DevOps and Software Engineering, including GitLab CI/CD, Infrastructure as Code , and implementing Quality Assurance practices like Test-Driven Development (TDD) and unit testing ( Pytest ). * Proven ability to design and scale Medallion Lakehouse Architectures, implement Data Mesh concepts, and utilize Dimensional Modeling (Star Schemas) on cloud platforms like Databricks or DoD Advana .

* Innovative problem solving and root cause identification skills. * Superior communication skills, both oral and written. * Able to work effectively at all levels of an organization.

* Must be a team player and able to work with and through others. * Ability to influence and align others and move toward a common vision or goal. * Federal government agency experience required Desired: * Master's degree (preferred) in data science, mathematics, statistics, economics, computer science, engineering, or other related business or quantitative discipline .

* Experience with authoritative data sources, including IPPS-A / MILPDS, GCSS-Army, GFEBS, DTMS / MEDPROS. * Experience with Army Vantage * Experience with efforts focused on understand ing interdependencies of programs within an organization . Travel: Minimal, less than 10% Location: Hybrid; at least 3 days on client site in Crystal City VA or Aberdeen MD.

Open to Remote Target salary range: $111,426 - $192,890 Disclaimer: The salary range displayed represents the typical salary range for this position and is not a guarantee of compensation. Individual salaries are determined by various factors including, but not limited to location, internal equity, business considerations, client contract requirements, and candidate qualifications, such as education, experience, skills, and security clearances. #LI-SH1 Applicants must meet eligibility requirements for a U.S.

Government security clearance. Only US Citizens are eligible for a security clearance. For this position, LMI will only consider applicants with security clearances or applicants who are eligible for security clearances, due to the nature of the work.