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Data Visualization Jobs in Virginia (NOW HIRING)

Dev Technology

Data Visualization Engineer (Qlik)

Ashburn, VA · On-site +1

$117K - $140K/yr

Data Visualization Engineer Job #1098 Clearance: U.S. Citizenship is required. Active Public Trust in DHS or a component of DHS highly preferred What You'll Be Doing: You will be working with an ...

Dev Technology

Data Visualization Engineer (Qlik)

Ashburn, VA · On-site +1

$117K - $140K/yr

Data Visualization Engineer Job #1098 Clearance: U.S. Citizenship is required. Active Public Trust in DHS or a component of DHS highly preferred What You'll Be Doing: You will be working with an ...

Leidos

Data/Visualization Engineer SME

Fort Belvoir, VA · On-site

$131K - $237K/yr

Leidos is seeking a highly skilled Data Visualization Engineer SME specializing in data visualization to join our team in Fort Belvoir, VA or Albuquerque, New Mexico. The primary focus of this role ...

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All JobsData Visualization JobsData Visualization Jobs in Virginia

Data Visualization information

See Virginia salary details

$53.5K

$108.5K

$160.1K

How much do data visualization jobs pay per year?

As of Sep 10, 2026, the average yearly pay for data visualization in Virginia is $108,512.00, according to ZipRecruiter salary data. Most workers in this role earn between $89,200.00 and $121,900.00 per year, depending on experience, location, and employer.

What is data visualization?

Data visualization is the process of taking statistical data and preparing it in a visual context that is easier to understand. You use software and graphics to demonstrate patterns, correlations, and trends that appear more significant when viewed outside of a written context. Visual representation comes in the form of infographics, heat maps, geographic maps, and detailed pie or bar charts. Business intelligence recognizes the need for appropriate colors and images and is now standard for modern organizations. Data visualization is also a reporting tool that tracks performance and generates dashboards to observe click-through rates digital marketing campaigns.

What is data visualization?

Data visualization is the process of representing data and information in a graphical or pictorial format, such as charts, graphs, or maps. This practice helps people understand complex data sets more easily by highlighting patterns, trends, and outliers. Data visualization is widely used in various industries to support decision-making, communicate insights, and make data more accessible to a broader audience.

What are the key skills and qualifications needed to thrive as a data visualization specialist, and why are they important?

To thrive as a Data Visualization Specialist, you need strong analytical abilities, a solid foundation in statistics, and proficiency with data visualization principles, typically supported by a degree in data science, computer science, or a related field. Familiarity with visualization tools such as Tableau, Power BI, or D3.js, and experience with data processing languages like Python or R, are commonly required. Creativity, attention to detail, and effective communication skills help convey complex data insights clearly to diverse audiences. These skills ensure that data is transformed into actionable, visually compelling insights that drive informed decision-making within organizations.

What are some common challenges faced by professionals in data visualization roles, and how can they be addressed?

Professionals in Data Visualization often encounter challenges such as translating complex datasets into clear, meaningful visuals and ensuring that visualizations are both accurate and accessible to diverse audiences. Balancing aesthetic appeal with functionality can also be demanding, as visuals must communicate insights without causing confusion. To address these challenges, effective collaboration with data analysts, subject matter experts, and end-users is essential, as is staying current with best practices and visualization tools. Regular feedback and iteration help refine visualizations to best meet stakeholders' needs.

What is the difference between Data Visualization vs Data Analyst?

AspectData VisualizationData Analyst
Primary FocusCreating visual representations of dataAnalyzing and interpreting data
SkillsData visualization tools, graphic design, storytellingStatistical analysis, Excel, SQL, data interpretation
ToolsTableau, Power BI, D3.jsExcel, SQL, R, Python
Work EnvironmentDesign-focused, often collaborative with data teamsAnalytical, research-oriented, cross-departmental

Data Visualization specialists focus on creating visual representations to communicate data insights effectively, while Data Analysts analyze data to uncover trends and inform decisions. Both roles often collaborate but serve different core functions within data-driven organizations.

Does data visualization pay well?

Data visualization professionals typically earn competitive salaries, especially with skills in tools like Tableau, Power BI, or D3.js. Salaries vary based on experience, location, and industry, but the role is generally well-compensated compared to other entry-level tech positions.

Is data visualization a good career?

Data visualization is a valuable career in data analysis and business intelligence, involving creating visual representations of data using tools like Tableau, Power BI, or Python. It requires strong analytical skills, knowledge of data tools, and the ability to communicate insights effectively, making it a growing field with demand across many industries.

What jobs use data visualization?

Data visualization is used in a variety of roles such as data analyst, business intelligence analyst, data scientist, and dashboard developer. These jobs require skills in tools like Tableau, Power BI, or Excel to interpret and communicate data insights effectively.

What skills are needed for data visualization jobs?

Data visualization jobs require skills in data analysis, proficiency with visualization tools like Tableau, Power BI, or D3.js, and a strong understanding of design principles to create clear, effective visuals. Knowledge of programming languages such as Python or R and the ability to interpret complex data sets are also important. Additionally, good communication skills help in presenting insights effectively to stakeholders.
More about Data Visualization jobs

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

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

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

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

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

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

What cities in Virginia are hiring for Data Visualization jobs?

Cities in Virginia with the most Data Visualization job openings:

Data Visualization jobs near you
Infographic showing various Data Visualization job openings in Virginia as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 79% Full Time, 15% Part Time, 3% Contract, and 1% Nights. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $108,512 per year, or $52.2 per hour.

Data Scientist (Data Visualization Specialist)

Chantilly, VA • On-site

Ardent Principles, Inc.
See more jobs at Ardent Principles, Inc.external

$130K - $260K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 13 days ago

Job description

Data Scientist (Data Visualization Specialist)

Application Deadline: 9 September 2026

Department: Data Analysis and Technology Services

Employment Type: Full Time

Location: Chantilly, VA

Compensation: $130,000 - $260,000 / year

Description

REQUIRED: Active TS/SCI with Full Scope Polygraph

LOCATION: Full-time, onsite in Chantilly, VA

We are seeking a highly capable Data Scientist (Data Visualization Specialist) who excels at turning complex data into clear, actionable insight. The ideal candidate brings experience in two or more core disciplines—business analytics, statistics, data verification and validation, or data visualization and applies both qualitative and quantitative methods to real‑world business analytics problems. This role requires proficiency in Power B1 along with the ability to transform, manipulate, and combine data from diverse sources and structures.

Who We Are: We offer advanced services in data science, data engineering, software engineering, AI solutions, cybersecurity, staff augmentation, and IT program management.

Passionate Integrity, Driven by Excellence
"Ardent Principles" signifies our unwavering commitment to excellence, driven by a profound passion and a strict adherence to ethical values. We believe that happy employees make for happy clients. Our mission is to act as a bridge between satisfied clients and fulfilled employees, ensuring that your job and well‑being are our top priorities because your satisfaction leads to the success of our clients.
Join us and let's shape the future together!

Key Responsibilities

In this challenging yet rewarding role, you are an integral part of what brings our Company's mission to life. You must have the following required skills, certifications and demonstrated experience in and/or with:

  • Working within two or more of the following disciplines:
    • a. Business analytics
    • b. Statistics
    • c. Data verification and validation
    • d. Data visualization
  • Must have experience using Power B1 (Tableau is not an acceptable substitute).
  • Applying qualitative and quantitative data analysis methods to business analytics problems.
  • Creating data visualization mockups, prototypes of visualizations, documenting work processes and effectively demonstrating products to technical and non‑technical audiences.
  • Interpreting data models and working with a variety of data sources and structures.
  • Translating customer requirements into project or system specifications.
  • Using Tableau.
  • Transforming, manipulating, and combining data using a programming language, such as Python.
  • Using a data preparation tool, such as Tableau Prep Builder.
  • Using Excel and SQL
  • Strong interpersonal and communication skills.
  • Self‑starter with the ability to decompose ambiguous problems into actionable plans.
Highly Desired Qualifications

Other skills and demonstrated experiences that are highly desired but not mandatory to perform the work, include:

  • Working with data derived from technical missions, taskings, collection, processing, analysis, or dissemination.
  • Using visualization tools, such as Jupyter, Visio, SharePoint, or Confluence.
  • Working with APIs.
  • Using GitHub, or similar version control systems.
  • Using Python or R.
  • Bachelor’s degree in Business Analytics, Statistics, Data Analytics, Computer Science, or Information Systems or 4 years of relevant data analysis experience within the IC or military.
What We Offer You
  • Highly Competitive Salary: Recognizing and rewarding your expertise and contributions.
  • Generous Paid Time Off: Providing ample time for rest, relaxation, and personal pursuits.
  • Dedicated Training Budget: Supporting continuous learning and professional development.
  • 100% Employer-Covered Family Vision, Dental, and Health Insurance: Ensuring comprehensive health coverage for you and your family.
  • 100% Employer-Covered Life and Disability Insurance: Offering financial security and peace of mind.
  • 401(k) Plan with a 6% Employer Match: Helping you plan and save for a secure retirement, with 100% vesting from day one.
  • 11 Paid Government Holidays: Observing national holidays to ensure time off with family and friends.
  • Spot Bonuses for Exceptional Performance: Rewarding outstanding contributions and achievements.

SCHEDULE:

This is a full-time position with consultants expected to be available and working onsite in Chantilly, VA during core hours.

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