1

Data Visualization Developer Jobs in Virginia (NOW HIRING)

Perform data cleansing, feature engineering, and transformation to prepare data for modeling * Apply statistical techniques to validate hypotheses and support analytical findings Data Visualization ...

Perform data cleansing, feature engineering, and transformation to prepare data for modeling * Apply statistical techniques to validate hypotheses and support analytical findings Data Visualization ...

Perform data cleansing, feature engineering, and transformation to prepare data for modeling * Apply statistical techniques to validate hypotheses and support analytical findings Data Visualization ...

Perform data cleansing, feature engineering, and transformation to prepare data for modeling * Apply statistical techniques to validate hypotheses and support analytical findings Data Visualization ...

Data Engineer

Herndon, VA

$117.70K - $141.40K/yr

Data visualization / dashboarding (Tableau, Grafana, or custom-built) * GraphQL APIs * Big data technologies (Spark, Hadoop) * DevOps practices -- CI/CD, infrastructure-as-code (Terraform ...

Data Engineer

Herndon, VA · On-site

$117.70K - $141.40K/yr

Data visualization / dashboarding (Tableau, Grafana, or custom-built) * GraphQL APIs * Big data technologies (Spark, Hadoop) * DevOps practices - CI/CD, infrastructure-as-code (Terraform ...

Data Engineer

Herndon, VA

$117.70K - $141.40K/yr

Data visualization / dashboarding (Tableau, Grafana, or custom-built) * GraphQL APIs * Big data technologies (Spark, Hadoop) * DevOps practices - CI/CD, infrastructure-as-code (Terraform ...

Data Engineer

Reston, VA · On-site

$119.10K - $143K/yr

Position Summary ANSER is seeking a Data Engineer to design, build, and optimize enterprise-level ... visualization, and automation. Day-to-Day Responsibilities * Manage complex, long-term projects ...

Experience with statistical programming languages such as Python (using libraries like Pandas, NumPy, and Matplotlib) or R for complex analysis and automation. Data Visualization Tools: Hands-on ...

... such as data engineering, analytics, and software engineering in DevOps environments ... data visualization • Hands-on coding experience (varies by task) including Apache Hadoop, and ...

Experience with statistical programming languages such as Python (using libraries like Pandas, NumPy, and Matplotlib) or R for complex analysis and automation. • Data Visualization Tools: Hands-on ...

Collaborate with data engineers and analysts to ensure data quality and accessibility * Communicate ... Experience with data visualization tools (e.g., Tableau, Power BI, Matplotlib, Seaborn)

next page

Showing results 1-20

Data Visualization Developer information

See Virginia salary details

$53.5K

$108.5K

$160.1K

How much do data visualization developer jobs pay per year?

As of May 31, 2026, the average yearly pay for data visualization developer 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 a Data Visualization Developer?

Data visualization pertains to any visual representation used to explain the significance of data. A data visualization developer is someone who creates these graphic representations. Their primary responsibilities are to produce visual depictions of text-based data that reveals the patterns, trends, or correlations between different points. Duties include using software to create dashboards to showcase information, performing data analysis and data modeling, and reporting on various data points. A data visualization developer may need to create a wide variety of graphics to display information, such as infographics, charts, graphs, data maps, or interactive data interfaces.

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

To thrive as a Data Visualization Developer, you need strong analytical skills, proficiency in data analysis, and expertise in visual design, typically supported by a degree in computer science, statistics, or a related field. Familiarity with tools such as Tableau, Power BI, D3.js, and programming languages like JavaScript or Python is essential, and certifications in these platforms can be advantageous. Attention to detail, creativity, and effective communication are crucial soft skills for transforming complex data into clear, actionable visual insights. These skills ensure that stakeholders can easily interpret and leverage data for informed decision-making.

How does a Data Visualization Developer typically collaborate with data analysts and business stakeholders on projects?

Data Visualization Developers often work closely with data analysts to understand the underlying data and identify key insights that need to be communicated. They also engage with business stakeholders to clarify requirements and ensure the visualizations support decision-making processes. Regular meetings and iterative feedback cycles are common, helping to fine-tune dashboards and reports for clarity and usability. This collaborative environment encourages learning from different perspectives and fosters a team-oriented approach to solving business challenges.

What is the difference between Data Visualization Developer vs Data Analyst?

AspectData Visualization DeveloperData Analyst
Required SkillsData visualization tools, programming (JavaScript, Python), UI/UX designData analysis, statistical skills, Excel, SQL
Work EnvironmentDesigning dashboards, front-end visualization, interactive reportsData cleaning, querying databases, interpreting data trends
Common UsageCreating visual representations for insights and dashboardsAnalyzing data to inform business decisions

While both roles involve working with data, Data Visualization Developers focus on creating visual tools and dashboards to present data effectively, often requiring programming skills. Data Analysts interpret data and generate insights, emphasizing statistical analysis and data querying. Both roles are essential in data-driven organizations but serve different functions in the data workflow.

What are popular job titles related to Data Visualization Developer jobs in Virginia? For Data Visualization Developer jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Data Visualization Developer jobs in Virginia look for? The top searched job categories for Data Visualization Developer jobs in Virginia are:
What are popular job titles related to Data Visualization Developer jobs in VA? For Data Visualization Developer jobs in VA, the most frequently searched job titles are:

Data Analyst / Data Visualization Specialist (Clearance Required)

Patriot Solutions Group, INC.

Mundelein, IL

Full-time

Posted 15 days ago


Job description

Company Description

PSG, INC. is an agile consulting firm with competencies in Business Operations, Human Capital Management, Finance & Program Management, IT, Security, Research & Data Science, Recruiting and Business Process Re-Engineering.

PSG is an industry leader in Financial Management, Program and Acquisition Management, and Business Process Improvement - providing innovative solutions for data-centric organizations. We are experts, highly skilled at creating solutions that enable complex business processes. Our solutions range from internally developed software solutions for industry-specific challenges, to large-scale, multi-faceted custom systems. We help our clients improve accuracy, efficiency, and costs. We give managers better control of their processes, provide data to key decision makers, and gain insight into their business processes - collecting, analyzing, and presenting data in ways that empower individuals is what we're all about.

At PSG, we view our clients as partners. We work closely with them to understand their business and its hurdles. Our success is based on our Partner's success - their problem is our passion. PSG leverages progressive technologies to provide technical applications that maximize the value of the organization's data. We help organizations achieve its mission more effectively and efficiently by designing, evaluating, and implementing solutions from a thorough understanding of their business.

Job Description

The Data Analyst shall provide data analytics, data management, and data architecture support. All data related activities shall comply with appropriate laws and policies and take into consideration the protection of individuals' civil liberties and privacy.

Data Analyst / Data Visualization Specialist (Senior)

  • Work with Senior Data Analysts to define and oversee database organizations, standards, controls, procedures, and documentation.
  • Provide technical consulting in the definition, design, and creation of data environments. 
  • Advise applications development staff data solutions to business problems, data architectures, data base management system facilities and capabilities.
  • Data Analyst will be responsible to a core functional team, but also to respective skill/discipline teams. The former to be assigned and work daily team activities, and the latter to develop and enhance skills, and to request assistance. 

Data Analyst / Data Visualization Specialist (Journeyman)

  • Work with Senior Data Scientist to analyze unstructured and semi-structured data, including latent semantic indexing (LSI), entity identification and tagging, complex event processing (CEP), and the application of analysis algorithms on distributed, clustered, and cloud-based high-performance infrastructures.
  • Handle processing and index requests against high-volume collections of data and high-velocity data streams.
  • Has the ability to utilize advance tools and computational skills to interpret, connect, predict and make discoveries in complex data and deliver recommendations for business and analytic decisions.
  • Experience with machine learning, algorithm analysis, and data clustering. 
  • Work with more junior Data Scientists to elevate skills for breath and depth in the field.
Qualifications

Required Knowledge / Skills / Abilities:

  • Applicable degree(s): Computer Information Systems, Computer Science, Database Administration, Geographic Information Systems, Information Security, Information Technology (IT), IT Management, Network Administration, Software Development, Technical Writing, or Web Design & Development.
  • Demonstrated relevant expertise supporting U.S. Federal Government as a Database Administrator/Manager/Systems Engineer, with hands-on experience with database standards and end user applications.
  • Minimum five (5) years' working knowledge of data backup, recovery, security, integrity and Structured Query Language (SQL). These five (5) years must be concurrent with the requisite years of work experience.
  • Minimum five (5) years' working knowledge of database design, data modeling, and data mining techniques, query creation and report generation, documentation, coding, DBA case tools (frontend/backend) with third party tools, and programming languages application programming interface (API). These five (5) years may be concurrent with the requisite years of work experience.
  • Minimum five (5) years' working knowledge of statistical packages for analyzing large datasets. These five (5) years may be concurrent with the requisite years of work experience.
  • Ability to effectively establish and execute strategic and critical task priorities to demonstrate problem-solving skills, and to think algorithmically.
  • Strong knowledge and experience with reporting packages and databases (SQL preferred), and some programming (JavaScript, XML, or ETL frameworks).

Desired Knowledge / Skills / Abilities:

  • Ability to understand U.S. Federal Government business needs, with strong analytical and organizational skills.
Additional Information

Clearance: Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance with polygraph is required.

We are an Equal Opportunity/Affirmative Action Employer. We consider applicants without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender, gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, or membership in any other group protected by federal, state, or local law.

All your information will be kept confidential according to EEO guidelines.