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Data Visualization Engineer Jobs in New Jersey (NOW HIRING)

... programming in Python and deployment on Posit • Experience with data visualization tools (Shiny, Streamlit, Dash, Spotfire, PowerBI, or Tableau) • Excellent verbal and written communications ...

Data Engineer

Woodbridge, NJ · On-site

$88K - $105K/yr

Exposure to BI, reporting, or data visualization tools * Academic or project experience building ... Data Engineer | Hybrid | Metropark, New Jersey

Data Engineer

Iselin, NJ · On-site

$88K - $105K/yr

Exposure to BI, reporting, or data visualization tools * Academic or project experience building ... Data Engineer | Hybrid | Metropark, New Jersey

Principal Data Scientist

Hoboken, NJ · On-site

$120 - $160/hr

Proficiency in Python programming and familiarity with full model deployment life cycle. * Strong ... Ability to communicate insights effectively through advanced data visualization and storytelling ...

Data Analyst II

Perth Amboy, NJ · On-site

$84K - $156K/yr

... engineers as required to build front end applications Present to and influence the team and business audience using the appropriate data visualization frameworks and conveys clear messages through ...

Data Analyst II

Clifton, NJ · On-site

$84K - $156K/yr

... engineers as required to build front end applications Present to and influence the team and business audience using the appropriate data visualization frameworks and conveys clear messages through ...

Data Analyst II

Passaic, NJ · On-site

$84K - $156K/yr

... engineers as required to build front end applications Present to and influence the team and business audience using the appropriate data visualization frameworks and conveys clear messages through ...

Data Analyst II

Paterson, NJ · On-site

$84K - $156K/yr

... engineers as required to build front end applications Present to and influence the team and business audience using the appropriate data visualization frameworks and conveys clear messages through ...

Data Analyst II

Union City, NJ · On-site

$84K - $156K/yr

... engineers as required to build front end applications Present to and influence the team and business audience using the appropriate data visualization frameworks and conveys clear messages through ...

Data Analyst II

Fort Lee, NJ · On-site

$84K - $156K/yr

... engineers as required to build front end applications Present to and influence the team and business audience using the appropriate data visualization frameworks and conveys clear messages through ...

Data Analyst II

Hackensack, NJ · On-site

$84K - $156K/yr

... engineers as required to build front end applications Present to and influence the team and business audience using the appropriate data visualization frameworks and conveys clear messages through ...

Data Analyst II

Hoboken, NJ · On-site

$84K - $156K/yr

... engineers as required to build front end applications Present to and influence the team and business audience using the appropriate data visualization frameworks and conveys clear messages through ...

Data Analyst II

Elizabeth, NJ · On-site

$84K - $156K/yr

... engineers as required to build front end applications Present to and influence the team and business audience using the appropriate data visualization frameworks and conveys clear messages through ...

Data Analyst II

Sayreville, NJ · On-site

$84K - $156K/yr

... engineers as required to build front end applications Present to and influence the team and business audience using the appropriate data visualization frameworks and conveys clear messages through ...

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Data Visualization Engineer information

See New Jersey salary details

$45.2K

$131.7K

$180.2K

How much do data visualization engineer jobs pay per year?

As of Aug 28, 2026, the average yearly pay for data visualization engineer in New Jersey is $131,693.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,200.00 and $139,600.00 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 New Jersey?

The most popular types of Data Visualization Engineer jobs in New Jersey are:

What are popular job titles related to Data Visualization Engineer jobs in New Jersey?

For Data Visualization Engineer jobs in New Jersey, the most frequently searched job titles are:

What job categories do people searching Data Visualization Engineer jobs in New Jersey look for?

The top searched job categories for Data Visualization Engineer jobs in New Jersey are:

Infographic showing various Data Visualization Engineer job openings in New Jersey as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 11% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $131,693 per year, or $63.3 per hour.

PowerBI Data Visualization Developer

Princeton, NJ • On-site

Avani Technology Solutions, Inc.
IT Services • 201 - 500 employees

Full-time

Re-posted 9 days ago


Job description

PowerBI Data Visualization Developer
Princeton, NJ
6 weeks to start and up to 20 weeks
General Overview / Description from Chapman for his team:
  1. Provide technical and business expertise to:
    • Lead discussions and facilitate meetings to elicit requirements and thoroughly understand business needs and issues
    • Design and develop business solution, e.g. reporting, information delivery solutions, data visualization, scorecards, and dashboards
    • Design and develop multi-dimensional and tabular models, as well as extract, transformation, and load (ETL) processes to convert operational transactional data into dimensions and fact tables.
  2. Make use of modern data visualization tools (such as Microsoft PowerBI)
  3. Participate in the design and development of enterprise wide solutions and data repositories. Make recommendations to improve the efficiency and functionality of the database, BI/DA environment and associated processes.
  4. Document technical solutions and deliver technical presentations to diverse audiences
  5. Implement high quality deliverables on time, on budget and on agreed upon scope.
  6. Consult with end users to refine and enhance existing BI/DA solutions.
  7. Promote the use and capabilities of IT BI/DA solutions and self-serve reporting in support of optimizing business operations. Identify ways in which technology can be used by the business to drive efficiencies and deliver greater value for the customer.
  8. Work collaboratively across IT and with business users and senior-level management users to determine information needs and effective delivery methods.
  9. Develop and deliver reports on an ad-hoc basis using MSBI. Develop and execute a verification and security strategy to ensure the accuracy of the data distributed in the reports.
  10. Proactively manage and support production solutions and processes, taking responsibility to address any issues following through to resolution. Ensure 24x7 availability of enterprise solutions. Schedule and coordinate infrastructure maintenance activities such as hardware and software upgrades and maintenance. Perform technical administration activities such as install, configure, control failover and load balancing across multiple servers and maintain security.
  11. Adhere to reference architecture and software development lifecycle (SDLC) standards and guidelines.
  12. Maintain an expertise of data management disciplines outside data analytics (data modelling, data integration, data warehousing, BI, ecosystems, industry tools, architectures and methods, harmonization, etc.).
  13. Build and maintain positive business relationships with business users, management and other technical groups across the organization.
  14. Adhere to ethical standards and comply with the laws and regulations applicable to your job function

notes:
Logistics data sources
- E1 is JD Edwards application database (Oracle)
- SeNT - Oracle or SQL database
- There is an already existing data model (DW) for logistics information. May need to be updated and SSIS based ETLs built. We will need to work with application owners and business provided BAs, ETS IT team (Chapman's team) to gather/validate requirements, identify the data model and SSIS gaps. I have added an assumption that ETS IT team can help with SSIS changes. (Chapman mentioned this).
- We will make the data model changes and create Power BI visualizations.
- Typical metrics/KPIs examples
• When were items shipped out?
• What is the aging of shipped out items?
• Average aging
Test Admin data sources
- eReg - Ecommerce registration systems (Oracle data base) (Contains information on people who sign up for testing)
- TPOS and EVM - Voucher systems (Oracle or SQL database)
- Typical metrics/KPIs examples
• YOY or CY - how many signed, how many completed, failed, how many used voucher,
- There is an existing data model but its relatively old. Will likely need to bring in data or update model. We will need to work with application owners and business provided BAs, ETS IT team (Chapma's team) to gather/validate requirements, identify the data model and SSIS gaps
- We will make the data model changes and create Power BI visualizations