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Data Visualization Engineer Jobs in Pennsylvania

System One

Research Data Scientist

Pittsburgh, PA · On-site

... and visualization of diverse datasets. The position will contribute to building scalable ... Proficiency in programming languages such as Python or R * Experience working with large, complex ...

Security Risk Advisors

Data Engineer

Philadelphia, PA · On-site +1

$115K - $138K/yr

This role sits at the intersection of cybersecurity, big data analytics, visualization, and platform innovation. The ideal candidate will work closely with engineering teams, SMEs, and platform ...

Security Risk Advisors

Data Engineer

Philadelphia, PA · On-site

$115K - $138K/yr

This role sits at the intersection of cybersecurity, big data analytics, visualization, and platform innovation. The ideal candidate will work closely with engineering teams, SMEs, and platform ...

Security Risk Advisors

Data Engineer

Philadelphia, PA · On-site

$115K - $138K/yr

This role sits at the intersection of cybersecurity, big data analytics, visualization, and platform innovation. The ideal candidate will work closely with engineering teams, SMEs, and platform ...

UHS

Applied Data Scientist

King Of Prussia, PA · On-site

... data visualization techniques, and identifying and integrating new data sources and applications including ML and AI. * Programming experience using major software such as SAS/Python/R and domain ...

UHS

Applied Data Scientist

King Of Prussia, PA

... data visualization techniques, and identifying and integrating new data sources and applications including ML and AI. * Programming experience using major software such as SAS/Python/R and domain ...

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All JobsData Visualization Engineer JobsData Visualization Engineer Jobs in Pennsylvania

Data Visualization Engineer information

See Pennsylvania salary details

$44.6K

$130K

$177.9K

How much do data visualization engineer jobs pay per year?

As of Jun 27, 2026, the average yearly pay for data visualization engineer in Pennsylvania is $130,028.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,800.00 and $137,800.00 per year, depending on experience, location, and employer.

What is a Data Visualization Engineer job?

A Data Visualization Engineer is responsible for designing, developing, and implementing visual representations of data to help stakeholders understand complex information. They use tools like Tableau, D3.js, Power BI, and Python libraries (e.g., Matplotlib, Seaborn) to create interactive dashboards and reports. Their role involves working with large datasets, ensuring data accuracy, optimizing performance, and collaborating with analysts and developers to enhance decision-making. Strong programming, data analysis, and UX/UI design skills are essential for success in this role.

What are some common challenges faced by Data Visualization Engineers, and how can they overcome them?

Data Visualization Engineers often encounter challenges such as translating complex data into clear, actionable visuals for non-technical stakeholders and ensuring that graphics remain both accurate and engaging. Balancing the needs of different departments, adhering to fluctuating project requirements, and managing large or messy datasets can also be demanding. Successful engineers address these issues by working closely with data analysts, business users, and designers, using feedback to iterate on their work, and staying current with the latest visualization best practices. Proactive communication and strong organization skills further help in meeting deadlines and maintaining quality standards.

What are the key skills and qualifications needed to thrive in the Data Visualization Engineer position, and why are they important?

To thrive as a Data Visualization Engineer, you need a strong grasp of data analysis, visual storytelling, and programming, often supported by a degree in computer science, data science, or a related field. Familiarity with tools like Tableau, Power BI, D3.js, and proficiency in languages such as Python or JavaScript are commonly required, along with experience in databases and dashboard development. Strong communication, problem-solving, and collaboration skills help you effectively transform and present complex data to diverse audiences. These abilities are crucial for creating impactful, user-friendly visualizations that drive informed business decisions.

What are the most commonly searched types of Data Visualization Engineer jobs in Pennsylvania? The most popular types of Data Visualization Engineer jobs in Pennsylvania are:
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What cities in Pennsylvania are hiring for Data Visualization Engineer jobs? Cities in Pennsylvania with the most Data Visualization Engineer job openings:
Data Visualization Engineer jobs near you
Research Data Scientist

Research Data Scientist

System One Holdings, LLC

Pittsburgh, PA • On-site

$120K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Title: Research Data Scientist
Location: Onsite, Pittsburgh, PA 15213
Type: Direct-Hire/Permanent
Hours: Standard business hours
Start: May
Overview: Join a cutting-edge lab to discover novel therapeutics that is seeking a highly motivated Data Scientist to provide advanced analytical and computational support for complex research and data-driven initiatives. This role focuses on developing data analysis pipelines, statistical models, and machine learning approaches to support the integration, interpretation, and visualization of diverse datasets. The position will contribute to building scalable, reproducible data frameworks that enable insights, predictive modeling, and informed decision-making.
Responsibilities:
  • Design and implement scalable data analysis pipelines for structured and unstructured datasets
  • Develop and apply statistical models to analyze trends, patterns, and key outcomes
  • Build and deploy machine learning models for predictive analytics and pattern recognition
  • Perform integrative analysis across multiple data sources and modalities
  • Collaborate with stakeholders to support study design, data strategy, and analytical approaches
  • Establish and maintain reproducible workflows, including data preprocessing, quality control, and version control
  • Develop data organization standards and reporting frameworks
  • Generate clear data visualizations, dashboards, and analytical summaries
  • Contribute to technical documentation, reports, and presentations
  • Support data infrastructure development for efficient storage, access, and processing
  • Partner with cross-functional teams to align data solutions with project goals

Requirements:
  • Master's degree (Ph.D. preferred) in Data Science, Statistics, Computer Science, or a related quantitative field
  • 3+ years of experience in data analysis, statistical modeling, or computational work
  • Strong expertise in statistical analysis and data interpretation
  • Proficiency in programming languages such as Python or R
  • Experience working with large, complex datasets
  • Experience building reproducible data workflows and pipelines
  • Strong analytical, problem-solving, and communication skills
  • Ability to work both independently and collaboratively

Preferred Qualifications
  • Ph.D. in a quantitative or computational discipline
  • Experience with machine learning or advanced modeling techniques
  • Experience integrating data from multiple sources or systems
  • Familiarity with data visualization tools and techniques
  • Experience with data infrastructure, cloud platforms, or big data tools
  • Exposure to analytical work in research or technical environments
  • Experience contributing to technical reports, publications, or presentations

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Ref: #558-Scientific

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