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Data Visualization Engineer Jobs in Pennsylvania

Morgan Properties

Data Engineer

Conshohocken, PA · On-site

$100K - $120K/yr

DATA ENGINEER Position Summary The Data Engineer plays a crucial role in designing, developing, and ... Visualization and Guidance * Provide guidance on visualization tools, focusing on Power BI.

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 ...

SEI

Data and Analytics Consultant

Philadelphia, PA

Data Visualization The ideal candidate's experience may include but is not limited to the following ... Must have experience in architecting and implementing data architecture, data engineering ...

GARGI TECHNOLOGIES INC

Data Analyst

Pennsburg, PA · On-site

Collaborate with cross-functional teams including engineering, product, and business stakeholders ... Experience working with data visualization tools such as Tableau, Power BI, or Looker. * Knowledge ...

Hamilton Lane

Data Engineer

Conshohocken, PA · On-site

$112K - $135K/yr

As an ETL Data Engineer, you will play a critical role in our expanding data engineering team. You ... Experience with data visualization tools (e.g. Power BI, Tableau) and Agile Methodologies a plus.

Hamiltonlane

Data Engineer

Conshohocken, PA

$112K - $135K/yr

As an ETL Data Engineer, you will play a critical role in our expanding data engineering team. You ... Experience with data visualization tools (e.g. Power BI, Tableau) and Agile Methodologies a plus.

Trumark Credit Union

Data Analyst

Fort Washington, PA · On-site

Through analysis, visualization, and cross-functional collaboration, the Data Analyst helps teams ... Collaborate with analysts, engineers, and business stakeholders to improve data models, reporting ...

Kasmo Global

Data Architect

Erie, PA · On-site

$62 - $79.50/hr

Experience with data visualization tools (e.g., Qlik, SAS) is an advantage. * Knowledge of programming languages such as Python, Java, or Scala. * Having experience in insurance domain is an ...

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 ...

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Data Visualization Engineer information

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$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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Data Visualization Engineer jobs near you
Data Engineer

Data Engineer

Morgan Properties

Conshohocken, PA • On-site

$100K - $120K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

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

Morgan Properties rating

7.8

Company rating: 7.8 out of 10

Based on 30 frontline employees who took The Breakroom Quiz

64th of 154 rated real estate companies

Job description

DATA ENGINEER
Position Summary
The Data Engineer plays a crucial role in designing, developing, and maintaining scalable data pipelines and architectures using Microsoft Fabric, significantly contributing to the organization's data strategy and broader goals. This role involves implementing ETL processes to ensure data accuracy and availability, optimizing data workflows for performance, and providing guidance on visualization tools like Power BI. The Data Engineer is responsible for monitoring and troubleshooting data pipeline issues, developing comprehensive documentation, and staying updated with the latest trends in data engineering.
Collaboration with cross-functional teams is essential, as this role supports the creation of innovative and efficient data solutions that drive strategic decision-making and operational success. The ideal candidate is proficient in programming languages such as Python, Java, or Scala, and has a strong understanding of data governance and security best practices. This position is pivotal in ensuring the integrity and performance of the organization's data infrastructure, aligning with the company's commitment to excellence and innovation.
Essential Duties
  • Data Pipeline and Architecture
  • Design, develop, and maintain scalable data pipelines and architectures using Microsoft Fabric.
  • Implement ETL processes to ensure data accuracy and availability.
  • Optimize and tune data workflows for performance and scalability.

  • Visualization and Guidance
  • Provide guidance on visualization tools, focusing on Power BI.
  • Contribute to guidelines and standards for visualization techniques and analytic dashboards.

  • Monitoring and Troubleshooting
  • Monitor and troubleshoot data pipeline issues, ensuring timely resolution.

  • Documentation and Best Practices
  • Develop and maintain documentation for data processes, architectures, and workflows.
  • Stay updated with the latest trends and best practices in data engineering and Microsoft Fabric.

Additional Duties: Tasks or duties not outlined in this job description may be required to contribute to the organization's success and efficiency.
Qualifications
Education & Experience:
  • Bachelor's in computer science, data engineering, statistics, mathematics, or related fields.
  • 5 years in data visualization, data mining, and analysis using Power BI
  • Proven experience as a Data Engineer, with a focus on Microsoft Fabric.
  • Ability to write complex SQL queries.
  • Experience with Azure DevOps Git for version control.
  • Experience creating data pipelines within Fabric workspace to transfer transformed data from Lakehouse to warehouse tables within Fabric workspace.
  • Understanding of data governance and security best practices.

Tools & Systems:
  • Proficiency in programming languages such as Python, Java, or Scala.
  • Familiarity with cloud platforms such as Azure.
  • Experience with CI/CD pipelines and automation tools.
  • The role involves frequent use of standard office equipment, such as computers, phones,

and printers.
The "Benefits" of Employment
  • Employee referral payment program
  • Educational Enhancement Program
  • Tuition Reimbursement
  • Medical, Dental, and Vision benefits
  • Life/ AD&D Insurance
  • Paid Parental Leave
  • Long and short term disability
  • Retirement Plan - 401(k) Plan
  • Volunteer & Community Service Opportunities
  • Discount on an apartment at any one of our properties
  • Brand new amenity space that includes a full gym/fitness center and golf simulator

Salary range: $110,000-$140,000
If you are hired at Morgan Properties, your overall compensation package will also be determined based on factors such as geographic location, skills, education, and/or experience which may result in total compensation outside of this range
Get To Know Us:
Established in 1985 by Mitchell Morgan, Morgan Properties is a national real estate investment and management company headquartered in Conshohocken, Pennsylvania. Jonathan and Jason Morgan represent the next-generation leaders growing the platform and overseeing the business operations.
Morgan Properties and its affiliates currently own and manage a multifamily portfolio comprised of more than 400 apartment communities and over 110,000 units located in 22 states. The Company is among the three largest multifamily owners in the nation and the largest in Pennsylvania, Maryland, and New York. With over 2,600 employees, Morgan Properties prides itself on its quick decision-making capabilities, strong capital relationships, and proven operational expertise.
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