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Data Classification Jobs in Washington (NOW HIRING)

Novul Solutions

Data Analyst

Arlington, VA

$100K - $135K/yr

This role will focus on establishing data classification and categorization standards, supporting data tagging and labeling efforts, and ensuring sensitive mission data is properly protected based on ...

Novul Solutions

Data Analyst

Arlington, VA · On-site

This role will focus on establishing data classification and categorization standards, supporting data tagging and labeling efforts, and ensuring sensitive mission data is properly protected based on ...

Novul Solutions

Data Architect - TS/SCI

Arlington, VA · On-site

$135K - $160K/yr

Establish and manage enterprise-wide data classification and categorization standards based on sensitivity, mission-criticality, and regulatory requirements. * Lead coordination and deployment of ...

Unisys

Security Engineer

Rockville, MD · On-site

This role involves heavy engineering responsibilities managing and evolving security tools related to data classification, Data Loss Prevention (DLP), and email routing rules. You will play a ...

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All JobsData Classification JobsData Classification Jobs in Washington

Data Classification information

See Washington salary details

$52.1K

$186.9K

$275.8K

How much do data classification jobs pay per year?

As of Jul 25, 2026, the average yearly pay for data classification in Washington is $186,899.00, according to ZipRecruiter salary data. Most workers in this role earn between $151,200.00 and $192,500.00 per year, depending on experience, location, and employer.

What jobs make $1,000,000 a year?

In the field of data classification, high-paying roles such as Chief Data Officer or senior data science executives can earn around or above $1 million annually, especially in large corporations or tech firms. These positions typically require extensive experience, advanced skills in data management, and leadership responsibilities. Compensation often includes base salary, bonuses, and stock options.

What is the role of data classification?

Data classification is a key responsibility in data management roles, involving categorizing data based on sensitivity, importance, or usage to ensure proper handling and security. It helps organizations implement appropriate access controls, comply with regulations, and protect sensitive information effectively.

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

To thrive in Data Classification, you need strong analytical skills, attention to detail, and a background in data management or information science, often supported by a relevant degree. Familiarity with data classification tools, data loss prevention (DLP) systems, and certifications such as Certified Information Systems Security Professional (CISSP) are commonly beneficial. Good communication, teamwork, and problem-solving skills help you excel in collaborating with IT, compliance, and business teams. These competencies are critical for accurately categorizing data, maintaining security standards, and ensuring regulatory compliance across an organization.

What is a Data Classification job?

A Data Classification job involves organizing and labeling data based on its sensitivity, importance, or type to ensure proper handling, security, and compliance. Professionals in this role categorize data according to predefined policies and frameworks, helping organizations safeguard sensitive information and optimize data management. They work closely with security, compliance, and IT teams to implement classification strategies and improve data governance.

What are the 4 types of data classification?

Data classification involves categorizing data based on its sensitivity and importance. The four common types are public, internal, confidential, and restricted data. Data classification helps organizations implement appropriate security measures and compliance protocols.

What are the typical challenges faced in a Data Classification role?

A common challenge in Data Classification is accurately identifying and categorizing large volumes of diverse and sometimes ambiguous data, which requires both technical proficiency and critical thinking. Balancing the need for data accessibility with strict security and compliance requirements can also pose difficulties. Collaboration with various departments, such as IT and legal, is often necessary to implement organization-wide classification policies and ensure consistent practices. By staying up-to-date with data protection regulations and evolving technology, professionals in this role can effectively address these challenges and contribute significantly to their organization’s information security strategy.

What is the highest paying data job?

Data scientists and data engineers are among the highest paying roles in data-related fields, often earning six-figure salaries depending on experience, location, and industry. Advanced skills in machine learning, big data tools, and programming languages like Python or SQL can further increase earning potential.
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Data Classification jobs near you
Infographic showing various Data Classification job openings in Washington as of July 2026, with employment types broken down into 75% Full Time, 21% Part Time, 1% Temporary, and 3% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $186,899 per year, or $89.9 per hour.

Data Analyst

Novul Solutions

Arlington, VA

$100K - $135K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 23 days ago

Job description

Overview

We are seeking an experienced Data Analyst to support enterprise-wide data governance, classification, tagging, and data protection initiatives within a secure Department of War environment. This role will focus on establishing data classification and categorization standards, supporting data tagging and labeling efforts, and ensuring sensitive mission data is properly protected based on sensitivity, mission-criticality, and regulatory requirements.

The ideal candidate will have strong experience with data tagging, data governance, data classification, data lifecycle management, and data security controls. Experience supporting DoW and/or DoW SAP environments is highly preferred.

Key Responsibilities:
  • Establish and maintain a data classification and categorization system to ensure data is appropriately protected based on sensitivity, mission-criticality, and regulatory requirements.
  • Manage the coordination and deployment of data tagging and labeling mechanisms across the DoW SAP enterprise.
  • Ensure compliance with DoW policies on data classification and information security, including DoDI 5200.01 and related guidance.
  • Define clear data governance policies, including roles and responsibilities for data ownership, stewardship, and custodianship.
  • Design and support a data governance framework that outlines roles, responsibilities, processes, and policies for managing data across the DoW enterprise.
  • Develop and implement a robust data management framework to ensure the integrity, accessibility, security, and compliance of data throughout its lifecycle.
  • Implement data security controls and privacy protections to safeguard sensitive DoW data from unauthorized access, breaches, misuse, or improper disclosure.
  • Evaluate, propose, and support integration of data governance tools and technologies.
  • Develop and standardize processes for collecting, organizing, classifying, and integrating data from various sources across the DoW enterprise.
  • Create detailed implementation plans for deploying data masking solutions across relevant systems, applications, and datasets.
  • Support enterprise data protection efforts by helping ensure sensitive data is properly identified, labeled, tracked, and controlled.


Requirements
Required Qualifications:
  • Bachelor’s Degree with 10+ years of relevant experience; or High School Diploma with 14+ years of relevant experience.
  • Proven expertise in data tagging, data labeling, data classification, and data categorization.
  • Experience supporting data governance, data management, or data protection initiatives in a secure enterprise environment.
  • Knowledge of data ownership, stewardship, custodianship, and lifecycle management concepts.
  • Experience developing or supporting policies, processes, and frameworks related to data governance and data security.
  • Understanding of data security controls, privacy protections, access controls, and sensitive data handling requirements.
  • Ability to coordinate across technical teams, business stakeholders, data owners, and security personnel.
  • Strong written and verbal communication skills with the ability to document processes, plans, and governance standards.
Ability to work 100% onsite in Rosslyn, VA.

Preferred Qualifications:
  • Experience supporting DoW and/or DoW SAP environments.
  • Familiarity with DoDI 5200.01 or other DoW information security classification requirements.
  • Experience with data governance tools, data cataloging platforms, metadata management tools, or data masking technologies.
  • Experience supporting enterprise data tagging, labeling, or classification implementation efforts.
  • Prior experience working in classified, SAP, or mission-critical federal environments.


Benefits
Core Benefits:
  • Paid Time Off PTO):TEN (10) Paid days off & FIVE (5) Floating days off.
  • Holidays: 11 Paid Holidays. Flex time can be utilized instead of holiday time usage.
  • Payroll: Paid Bi-Monthly.
  • 401(k): Partnered with the SECOND LARGEST Retirement plan provider in the U.S. Guaranteed 3% match. Eligibility – 21 years of age or older, after 3 months of employment
  • Individual or company-wide performance and recognition awards (Quarterly
Health Benefits:
  • UNITED HEALTHCARE PPO, extensive national coverage.
  • INCLUDES: Medical/Dental/Vision/HSA.
  • Eligible on the first of the month, immediately after the start date.
  • Submit the enrollment form within 30 days of your start date otherwise, you will have to wait until October for the new year enrollment.
Quality of Life Benefits:
  • Training & Career Development Reimbursement of Tuition and training needed to support career development.
  • $150 monthly reimbursement contribution paid monthly towards parking expenses.
  • Receipts must be submitted by the close of business on the 25th of each month.
  • Reimbursements will be paid on the first payroll AFTER reimbursements are submitted each month.
Special Benefits:
  • Performance bonus – Project-based
  • Yearly bonus – Company based