1

Data Visualization Jobs in Washington, DC (NOW HIRING)

Tableau Data Visualization Engineer

Mclean, VA · On-site +1

$115K - $160K/yr

We are looking for more than just a "Data Visualization Engineer", but a technologist with excellent communication and customer service skills and a passion for data and problem solving.

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 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 ...

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 ...

next page

Showing results 1-20

Data Visualization information

See Washington, DC salary details

$61.2K

$124K

$182.9K

How much do data visualization jobs pay per year?

As of Jul 3, 2026, the average yearly pay for data visualization in Washington, DC is $123,963.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,900.00 and $139,300.00 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.
What are the most commonly searched types of Data Visualization jobs in Washington, DC? The most popular types of Data Visualization jobs in Washington, DC are:
What are popular job titles related to Data Visualization jobs in Washington, DC? For Data Visualization jobs in Washington, DC, the most frequently searched job titles are:
What job categories do people searching Data Visualization jobs in Washington, DC look for? The top searched job categories for Data Visualization jobs in Washington, DC are:
Infographic showing various Data Visualization job openings in Washington, DC as of June 2026, with employment types broken down into 94% Full Time, 3% Part Time, and 3% Contract. Highlights an 73% In-person, 7% Hybrid, and 20% Remote job distribution, with an average salary of $123,963 per year, or $59.6 per hour.
Data Visualization Specialist

Full-time

Posted 8 days ago


Job description

Cervello Global Corporation is looking for a Data Visualization Specialist to provide support to the Marine Corps Integration Division (MCID) for Integration Support, Information Management, and Knowledge Management services.

The Candidate shall provide services to include research and analysis, collection, and organization of Capabilities Planning, Requirements Development, Solution Development, and Resourcing data; Capabilities Planning database management; and visualization of Capabilities Planning information using standard government software applications.

Place of Performance is at the Marine Corps Base in Quantico Virginia.

JOB DUTIES / EXPERTISE:

  • Will be responsible for supporting the continued development of the Pedigree of Analysis (PoA) Diagram using Microsoft Visio.
  • Design and configure the PoA tool's user interface for intuitive navigation and data discovery using government-designated visualization tools such as Qlik Sense and/or Microsoft Power BI.
  • This role requires a deep understanding of data visualization principles
  • Ability to present complex data in accessible and compelling ways.
  • Work closely with stakeholders to understand and visualize capabilities development and resourcing decisions.
  • Ensure intuitive navigation and effective data discovery within the PoA tool.