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Visualization Engineer Jobs in Virginia (NOW HIRING)

GRVTY

Data Visualization - Senior

Springfield, VA

Bachelor's degree in Graphic Design, Communications, Software Engineering, or related field ... Experience mentoring and leading visualization teams. Why Choose GRVTY The toughest national ...

GRVTY

Data Visualization - Senior

Springfield, VA · On-site

Bachelor's degree in Graphic Design, Communications, Software Engineering, or related field ... Experience mentoring and leading visualization teams. Why Choose GRVTY The toughest national ...

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All JobsVisualization Engineer JobsVisualization Engineer Jobs in Virginia

Visualization Engineer information

See Virginia salary details

$80.3K

$105.5K

$179.4K

How much do visualization engineer jobs pay per year?

As of Jun 20, 2026, the average yearly pay for visualization engineer in Virginia is $105,464.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,700.00 and $99,100.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Visualization Engineer, and why are they important?

To thrive as a Visualization Engineer, you need expertise in data visualization principles, programming languages like JavaScript or Python, and a background in computer science or a related field. Familiarity with visualization libraries (such as D3.js, Tableau, or Power BI), data analytics platforms, and experience with databases are typically required. Strong problem-solving skills, creativity, and the ability to communicate complex data visually make someone stand out in this position. These skills are crucial for transforming raw data into actionable insights that drive informed decision-making across organizations.

What is a Visualization Engineer?

A Visualization Engineer is a professional who designs, develops, and implements data visualization solutions to help organizations interpret complex data. They use tools and programming languages like D3.js, Tableau, or Python to create interactive charts, graphs, and dashboards. Their main goal is to turn raw data into visually engaging and insightful representations, enabling better decision-making. Visualization Engineers often collaborate with data scientists, analysts, and stakeholders to understand requirements and ensure the visualizations effectively communicate key information.

What is the difference between Visualization Engineer vs Data Analyst?

AspectVisualization EngineerData Analyst
Required CredentialsBachelor's in CS, Data Science, or related; experience with visualization toolsBachelor's in Statistics, Math, or related; proficiency in data analysis tools
Work EnvironmentDesigning visual data representations, working with developers and designersAnalyzing data sets, generating reports, interpreting data trends
Industry UsageTech, finance, marketing, where visual data storytelling is keyBusiness, finance, healthcare, focusing on data insights

While both roles involve working with data, Visualization Engineers focus on creating visual representations and dashboards, often collaborating with developers. Data Analysts primarily analyze data sets to extract insights and generate reports. The roles overlap in skills like data handling and visualization tools, but their core responsibilities differ in focus and output.

How does a Visualization Engineer typically collaborate with data scientists and other stakeholders on projects?

Visualization Engineers play a crucial role in bridging the gap between raw data and actionable insights. They work closely with data scientists to understand the underlying data sets, define the goals of the visualization, and ensure the technical feasibility of proposed solutions. Regular meetings and iterative feedback sessions with business stakeholders are common to ensure the visualizations meet business requirements and usability standards. This collaboration often involves translating complex analytical findings into intuitive visuals that help guide decision-making across teams.
What are popular job titles related to Visualization Engineer jobs in Virginia? For Visualization Engineer jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Visualization Engineer jobs in Virginia look for? The top searched job categories for Visualization Engineer jobs in Virginia are:
Visualization Engineer jobs near you

Senior Data Visualization Developer

Excella

Arlington, VA

Other

Posted 14 days ago

Job description

Overview 

The Senior Data Visualization Developer is responsible for designing and developing reports and dashboards to support self-service analytics environments for clients. This role requires strong technical skills in business intelligence tools and SQL, as well as the ability to translate business needs into effective data visualizations. 
 

Responsibilities: 
 

  • Interact directly with client stakeholders (business or technical) to understand their data visualization needs. 
  • Use SQL queries to explore, analyze, and import data sources for report development 
  • Work directly with clients to understand their business goals, data needs, and reporting requirements. 
  • Create prototypes based on stakeholder requirements to validate report/dashboard design. 
  • Develop and optimize reports and dashboards using tools such as Tableau and Power BI. 
  • Ensure data accuracy by performing quality checks on source data. 
  • Understand and follow best practices in data visualization, automation, and user experience and participate in the cultivation of data visualization culture and community internally. 
  • Document and train end-users on BI deliverables to ensure long-term sustainability. 

Qualifications: 
 

  • 3+ years of experience developing reports and dashboards using BI tools (Tableau, Power BI, Looker, D3). 
  • 3+ years writing SQL queries of medium complexity. 
  • Strong understanding of relational database structures. 
  • Proven ability to present complex data in an intuitive and visually compelling manner. 
  • Experience in analyzing stakeholder needs and developing user-friendly visualizations. 
  • Detail-oriented with a strong sense of data accuracy and quality assurance. 
  • Ability to structure and write clear, concise documentation. 
  • Familiarity with relational databases (e.g., SQL, MySQL) and NoSQL databases. 
  • Knowledge of data warehousing concepts and cloud platforms like AWS, Google Cloud, or Azure. 
  • Familiarity with Agile methodologies and collaboration tools (e.g., Jira). 
  • Enthusiastic about learning and adopting new features within BI tools. 

 
Excella is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected veteran status, age, or any other characteristic protected by law. Excella is committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. To request reasonable accommodation to participate in the job application or interview process, contactRecruiting@excella.comor 703-840-8600. 

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