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Data Visualization Engineer Jobs in Pittsburgh, PA

Sarian, Inc.

Data Analyst

Pittsburgh, PA · On-site

Data Visualization Tools: Experience with tools like Tableau, Power BI. * Programming Languages: Familiarity with languages like Python or R. * Data Cleaning and Preparation: Skills in data cleaning ...

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 ...

LMI

Data Engineer - Clearance Required

Pittsburgh, PA · On-site

$111K - $133K/yr

LMI is seeking a skilled Data Engineer to join our team and contribute to developing innovative ... Familiarity with data visualization approaches (D3.js, Plotly, Recharts, or Foundry-native Workshop ...

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 ...

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 ...

LMI

Data Engineer - Clearance Required

Pittsburgh, PA · On-site

$111K - $133K/yr

Overview LMI is seeking a skilled Data Engineer to join our team and contribute to developing ... Familiarity with data visualization approaches (D3.js, Plotly, Recharts, or Foundry-native Workshop ...

LMI

Data Engineer - Clearance Required

Pittsburgh, PA · On-site +1

$111K - $133K/yr

Overview LMI is seeking a skilled Data Engineer to join our team and contribute to developing ... Familiarity with data visualization approaches (D3.js, Plotly, Recharts, or Foundry-native Workshop ...

Howmet Aerospace

Data Scientist

Pittsburgh, PA · On-site

$38K - $43K/yr

Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering ... Visualization: Matplotlib, Seaborn, or Plotly. * Basic familiarity with cloud platforms such as ...

Visvero

Incorta Developer

Pittsburgh, PA · On-site

As an Incorta Developer, you will be responsible for designing, developing, and managing Incorta ... Proficiency in Incorta, including data modeling, schema design, and visualization creation.

Visvero, Inc.

Incorta Developer

Pittsburgh, PA · On-site

As an Incorta Developer, you will be responsible for designing, developing, and managing Incorta ... Requirements Proficiency in Incorta, including data modeling, schema design, and visualization ...

UPMC Enterprises

Data Engineer, Senior

Pittsburgh, PA · On-site

$102K - $139K/yr

Senior Data Engineers develop custom end-to-end integration solutions for large data sets of ... Reporting and data visualization skills * Excellent attention to detail * Proficiency in healthcare ...

UPMC Enterprises

Data Engineer, Senior

Pittsburgh, PA · On-site

$102K - $139K/yr

Senior Data Engineers develop custom end-to-end integration solutions for large data sets of ... Reporting and data visualization skills * Excellent attention to detail * Proficiency in healthcare ...

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All JobsData Visualization Engineer JobsData Visualization Engineer Jobs in Pittsburgh, PA

Data Visualization Engineer information

See Pittsburgh, PA salary details

$43.2K

$125.9K

$172.3K

How much do data visualization engineer jobs pay per year?

As of Aug 31, 2026, the average yearly pay for data visualization engineer in Pittsburgh, PA is $125,931.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,200.00 and $133,500.00 per year, depending on experience, location, and employer.

What is a data visualization engineer?

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 as a data visualization engineer, 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 Pittsburgh, PA?

The most popular types of Data Visualization Engineer jobs in Pittsburgh, PA are:

What are popular job titles related to Data Visualization Engineer jobs in Pittsburgh, PA?

For Data Visualization Engineer jobs in Pittsburgh, PA, the most frequently searched job titles are:

What job categories do people searching Data Visualization Engineer jobs in Pittsburgh, PA look for?

The top searched job categories for Data Visualization Engineer jobs in Pittsburgh, PA are:

What cities near Pittsburgh, PA are hiring for Data Visualization Engineer jobs?

Cities near Pittsburgh, PA with the most Data Visualization Engineer job openings:

Data Visualization Engineer jobs near you
Infographic showing various Data Visualization Engineer job openings in Pittsburgh, PA as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $123,336 per year, or $59.3 per hour.

Data Analyst

Sarian, Inc.

Pittsburgh, PA • On-site

Full-time

Re-posted 16 days ago

Job description

Role: Data Analyst
Location: Pittsburgh, PA
Onsite position
Fulltime Position
*****NO C2C****
JD
  • Data Conditioning - identification of appropriate test data, conditioning of test data as necessary to meet non-functional testing requirements.
  • Statistical Analysis: Proficiency in statistical methods and techniques.
  • SQL: Knowledge of Structured Query Language for database management.
  • Data Visualization Tools: Experience with tools like Tableau, Power BI.
  • Programming Languages: Familiarity with languages like Python or R.
  • Data Cleaning and Preparation: Skills in data cleaning, transformation, and quality assurance.
  • Data Modeling: Ability to design and implement data models.
  • Communication and Presentation: Strong communication and presentation skills to effectively convey findings to stakeholders.
  • Critical Thinking: Ability to analyze data, identify trends, and draw conclusions.
  • Attention to Detail: Accuracy and precision in data analysis and reporting.
  • Data Conditioning - identification of appropriate test data, conditioning of test data as necessary to meet non-functional testing requirements.
  • Data Collection and Preparation: Gathering data from various sources, cleaning and preparing it for analysis, and ensuring data quality.
  • Statistical Analysis: Performing statistical analyses to identify trends, patterns, and anomalies in the data.
  • Exploratory Data Analysis (EDA): Engaging in exploratory data analysis to gain a deeper understanding of the data and identify potential areas for further investigation.
  • Data Visualization: Creating clear and concise visualizations (charts, graphs, dashboards) to communicate data insights effectively.
  • Reporting and Presentation: Preparing reports and presentations to communicate findings to stakeholders, influencing decision-making.
  • Data Governance and Quality: Ensuring data quality, process documentation, and defining Key Performance Indicators (KPIs).
  • Database Management: Managing databases, troubleshooting data-related issues, and optimizing database performance.
  • Data Modeling: Building data models to represent and analyze data effectively.
  • Data Mining: Mining data from various sources and transforming it into usable formats.

Manikanth
Sarian Solutions, Inc.
Ph: 732-790-2266 X 105
manikanth.d@sariansolutions.com | https://www.sarianinc.com/

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