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Data Visualization Jobs in Severn, MD (NOW HIRING)

Quantum Sky is searching for a Data Visualization Developer to join a newly awarded Cybersecurity and IT Risk Management contract supporting a federal customer. This role involves designing and ...

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Data Visualization Specialist Location: Remote Position Summary The Data Visualization Specialist supports the Client's National Customer Service Improvement Project (CSIP) by designing and ...

Description Quantum Sky is searching for a Data Visualization Developer to join a newly awarded Cybersecurity and IT Risk Management contract supporting a federal customer. This role involves ...

Description Quantum Sky is searching for a Data Visualization Developer to join a newly awarded Cybersecurity and IT Risk Management contract supporting a federal customer. This role involves ...

Description Quantum Sky is searching for a Data Visualization Developer to join a newly awarded Cybersecurity and IT Risk Management contract supporting a federal customer. This role involves ...

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Data Visualization information

See Severn, MD salary details

$60K

$121.7K

$179.5K

How much do data visualization jobs pay per year?

As of Aug 25, 2026, the average yearly pay for data visualization in Severn, MD is $121,674.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,100.00 and $136,700.00 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.

What are popular job titles related to Data Visualization jobs in Severn, MD?

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

What job categories do people searching Data Visualization jobs in Severn, MD look for?

The top searched job categories for Data Visualization jobs in Severn, MD are:

What cities near Severn, MD are hiring for Data Visualization jobs?

Cities near Severn, MD with the most Data Visualization job openings:

Infographic showing various Data Visualization job openings in Severn, MD as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $121,674 per year, or $58.5 per hour.

Data Visualization Developer

Washington, DC • On-site


Constellation Inc
Clean Energy Equipment Manufacturing • 10K+ employees

8.6

Company rating: 8.6 out of 10

Based on 101 frontline employees who took The Breakroom Quiz

12th of 87 rated oil and gas companies

People enjoy working here

Good employer

Paid breaks


$125K - $135K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 3 days ago

New


Job description

Pay: $125,000.00 - $135,000.00 per year
Data Visualization Developer
Constellation seeks a Data Visualization Developer to join our Homeland Security Team in Washington, DC. This role requires advanced dashboarding and data analysis skills. The developer will design, build, and maintain Power BI dashboards that integrate operational and financial data to create meaningful, actionable insights for stakeholders. This role requires a strong understanding of SQL, Power BI and coordination with other developers for extraction, transformation, and loading of data. This position is client-facing and requires excellent communication to translate complex technical outputs into clear business value.
Key Responsibilities:
  • Design, build, and maintain data ETL pipelines from sources such as SQL databases, SharePoint, and Excel.
  • Build, maintain, and automate dashboards, reports, and data models using Power BI and other visualization tools.
  • Optimize and refine existing SQL queries and dashboards while maintaining accurate documentation for client dashboards and associated SQL queries.
  • Collaborate with clients and technical resources to understand and integrate business requirements into effective data visualizations.
  • Translate complex data findings into clear, digestible insights for stakeholders to support data-driven decision-making.
  • Ensure data accuracy, consistency, and integrity across reports and dashboards.
The ideal candidate must have the following experience, background, and credentials:
  • At least 4 years of experience working with large datasets in a Data Visualization tool like Power BI, Tableau, Qlik.
  • Advanced understanding of SQL including query optimization, common table expressions (CTEs), and complex joins for deep-dive analysis
  • Advanced proficiency in Excel for standard data analysis tasks (pivot tables, VLOOKUP, complex formulas)
  • Excellent communication skills with the ability to gather requirements, present solutions, and translate complex data findings into clear insights for non-technical stakeholders.
  • Bachelor’s degree is required, with major in Data Science, Computer Science, Statistics, or a related field preferred
  • Be a U.S. citizen able to pass a background investigation by the client agency. DHS clearance with CBP or ICE preferred.
  • Experience developing in Python (Pandas) for data analysis is preferred. 
  • Experience developing PowerApps and Power Automate solutions is preferred.
Job Type: Full-time
Work Location: Hybrid

Benefits:
•    401(k)
•    401(k) contribution
•    Medical insurance
•    Dental insurance
•    Vision insurance
•    Life & Disability Insurance
•    Flexible Spending Account
•    Paid time off
•    Professional development 
•    Employee assistance program
•    Work-life balance


 

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