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Data Visualization Engineer Jobs in Pittsburgh, PA

Pwc

Data Strategy-Manager

Pittsburgh, PA

$99K - $232K/yr

... engineering tools - Proficiency in SQL and data visualization tools - Experience in designing advanced analytics solutions - Coaching and collaborating with team members Travel Requirements Up to 80 ...

Varsity Tutors

Data Science Tutor

Pittsburgh, PA · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

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Showing results 21-40

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 9, 2026, the average yearly pay for data visualization engineer in Pittsburgh, PA is $125,927.00, 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 49% Full Time, and 51% Contract. Highlights an 100% In-person job distribution, with an average salary of $125,927 per year, or $60.5 per hour.

Senior Application Developer - Databricks

SysMind Tech

Warrendale, PA • On-site

$93K - $129K/yr

Contractor

Re-posted 23 days ago

Job description

Job Purpose
This position is part of the Enterprise Data & Analytics Capability team under the Global Technology Organization. In this role, you will lead the design, development, and optimization of large-scale data solutions on the Databricks platform
Desired Skills and Experience
Essential skills
  • Bachelor's degree in Computer Science, Engineering, or a related field
  • Minimum of 5 years' programming experience which includes at least one year working with a big data platform; experience in data engineering domain, Python, SQL, and cloud platforms such as Azure
  • Familiarity with relevant systems, tools, languages, and business domain which includes Data Lakehouse principles, relational and Kimball data models (required)
  • Experience with CI/CD pipelines and version control tools (required)
  • Knowledge of data visualization tools and BI platforms (preferred)
  • Certification in Databricks or relevant cloud platforms (preferred)

Key Responsibilities
  • Design, build, and maintain scalable data pipelines on Databricks (using Spark, Delta Lake, etc.)
  • Write clean, efficient, and maintainable PySpark or SQL code for data transformation
  • Design robust data models for analytics and reporting
  • Ensure data quality, consistency, and governance
  • Handle batch and streaming data workflows
  • Provide architectural guidance and support in platform usage
  • Drive best practices in data engineering across the team
  • Monitor and optimize performance of Spark jobs and cluster usage
  • Ensure compliance with security and data privacy standards

Key Metrics
  • Python, SQL, Azure
  • Data Lakehouse principles, relational and Kimball data models
  • Databricks

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