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Data Visualization Jobs in Virginia (NOW HIRING)

GRVTY

Data Visualization - Senior

Springfield, VA · On-site

$130K - $150K/yr

We are seeking a Senior Data Visualization Specialist to lead the development of high-impact visual products, dashboards, and interactive reporting solutions that support Intelligence Community ...

Steampunk

Data Visualization Engineer

Mclean, VA · On-site

$110K - $160K/yr

Overview Steampunk wants you to join our awesome team as Data Visualization Engineer. In this role you'll be working with a large team of Steampunk and clients to identify data sources, tools, and ...

GRVTY

Data Visualization - Senior

Springfield, VA · On-site

$130K - $150K/yr

We are seeking a Senior Data Visualization Specialist to lead the development of high-impact visual products, dashboards, and interactive reporting solutions that support Intelligence Community ...

Steampunk

Data Visualization Engineer

Mclean, VA · On-site

$110K - $160K/yr

Overview Steampunk wants you to join our awesome team as Data Visualization Engineer. In this role you'll be working with a large team of Steampunk and clients to identify data sources, tools, and ...

Steampunk

Data Visualization Engineer

Mclean, VA · On-site

$110K - $160K/yr

Steampunk wants you to join our awesome team as Data Visualization Engineer. In this role you'll be working with a large team of Steampunk and clients to identify data sources, tools, and mission ...

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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 Jul 7, 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.

Is 40 too late for data science?

Data visualization is a key skill in data science, and individuals can successfully transition into this field at any age, including 40. Building relevant skills such as proficiency in tools like Tableau or Power BI, along with foundational knowledge in statistics and programming, can facilitate entry regardless of age, as employers value experience and diverse perspectives.

Can I be a data analyst with no experience?

Data analysts typically need some familiarity with data analysis tools like Excel, SQL, or visualization software such as Tableau. While prior experience is often preferred, entry-level positions may be available for those who demonstrate strong analytical skills and a willingness to learn through courses or certifications. Building a portfolio of projects can also improve chances of securing a data analyst role without formal experience.

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.

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.

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 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 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 jobs do data visualization?

Data visualization jobs include roles such as data analyst, data scientist, business intelligence analyst, and data visualization specialist. These positions involve creating visual representations of data using tools like Tableau, Power BI, or Python to help organizations interpret complex information and support decision-making.
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 July 2026, with employment types broken down into 88% Full Time, 8% Part Time, and 4% Contract. Highlights an 76% In-person, 8% Hybrid, and 16% Remote job distribution, with an average salary of $108,512 per year, or $52.2 per hour.
Data Visualization - Active TS/SCI

Data Visualization - Active TS/SCI

ENS Solutions, LLC

Springfield, VA

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 14 days ago

Job description

The Data Visualization Specialist is a creative and detail-oriented professional responsible for designing and developing a wide range of visual communication products. This mid-level role requires a strong foundation in graphic design principles and the ability to translate complex data into clear and compelling visuals. The ideal candidate will be a proactive and collaborative team player, capable of managing multiple projects and consistently delivering high-quality work that aligns with the agency's branding and strategic goals.

Requirements

Duties May Include:

         Graphic Design and Content Creation - Design and produce a variety of print and digital materials, including reports, presentations, marketing collateral, and web graphics. Ensure all visual products adhere to established branding and style guides.

         Data Visualization - Transform statistical data and complex information into accessible and engaging visual graphics, such as charts, graphs, and diagrams.

         Web and SharePoint Management         - Update and maintain the agency's website and SharePoint sites, ensuring all content is current, accurate, and visually appealing.

         Recommend and implement improvements to website design, navigation, and user experience.

         Project Management and Collaboration - Manage project tasks, prioritize workload, and effectively multitask in a fast-paced environment.

         Collaborate with clients, stakeholders, and team members to understand project requirements and deliver products that meet their needs.

         Technical and Creative Support - Provide technical guidance and creative input to improve the design and layout of reports, documents, and publications.

         Stay current with industry trends and best practices in graphic design and data visualization to continuously enhance the quality of work.

Required Skills:

         Education - A minimum of a Bachelor's degree in Communications, Design or Software Engineering related fields such as Graphic Design, Fine Arts, Communication Design, Software Development, Illustration, and others.

         Experience - Minimum of 5 years of professional experience in graphic design, data visualization, or a related field. Experience working in a government or corporate environment is preferred. In lieu of a degree, 10+ years of experience.

         Core Skills - Strong communication, interpersonal, and time-management skills. Creative and artistic ability with a keen eye for detail.  Ability to work independently and as part of a team.

         Technical Skills - Proficiency in Adobe Creative Suite (InDesign, Photoshop, Illustrator) and Microsoft Office Suite (PowerPoint, Word, Excel). Experience with web content management systems, particularly SharePoint.

Desired Skills:

         Experience advising or providing guidance on visual information policies and procedures.

         Familiarity with GEOINT Products and Services to include knowledge of their purpose, application, and dissemination

Benefits

Essential Network Security (ENS) Solutions, LLC is a service-disabled veteran owned, highly regarded IT consulting and management firm. ENS consults for the Department of Defense (DoD) and Intelligence Community (IC) providing innovative solutions in the core competency area of Identity, Credential and Access Management (ICAM), Software Development, Cyber and Network Security, System Engineering, Program/Project Management, IT support, Solutions, and Services that yield enduring results. Our strong technical and management experts have been able to maintain a standard of excellence in their relationships while delivering innovative, scalable and collaborative infrastructure to our clients.

Why ENS?

  • Free Platinum-Level Medical/Dental/Vision coverage, 100% paid for by ENS
  • 401k Contribution from Day 1
  • PTO + 11 Paid Federal Holidays
  • Long & Short Term Disability Insurance
  • Group Term Life Insurance
  • Tuition, Certification & Professional Development Assistance
  • Workers' Compensation
  • Relocation Assistance

Candidate AI Usage Policy

AI tools are an important part of daily work at ENS Solutions, and we are committed to their responsible and ethical use. To ensure a fair and equitable candidate evaluation based on individual skills, knowledge, and experience, candidates are not permitted to use artificial intelligence or other assistive tools during interviews, whether in person or virtual, unless explicit permission has been granted in advance.

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