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Data Visualization Engineer Jobs in Massachusetts

Busek

Data Analyst

Natick, MA · On-site

Experience supporting engineering, manufacturing, aerospace, or other technical organizations. * Familiarity with statistical analysis and data visualization techniques including uncertainty ...

Busek Co Inc

Data Analyst

Natick, MA · On-site

Preferred Skills • Experience supporting engineering, manufacturing, aerospace, or other technical organizations. • Familiarity with statistical analysis and data visualization techniques ...

Slope

Senior Software Engineer, Deepview

Boston, MA · On-site

$166 - $220/hr

ABOUT THE TEAM The Deepview team builds Anduril's real-time 3D data visualization and analysis tool ... Our team's mission is to give engineers and operators the deepest possible visibility into what ...

Federal Reserve System

Lead Data Scientist

Boston, MA · On-site

Proficiency in modern statistical and general-purpose programming languages. Expertise in data analysis, machine learning, and statistical modeling. Experience with data visualization tools and big ...

Constant Contact

Analytics Engineer

Waltham, MA · Hybrid

We have an opening for an Analytics Engineer who will bridge the gap between data analysis and data ... Knowledge of data visualization tools (e.g., Tableau, Looker, Power BI) is a plus. * Strong problem ...

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Showing results 41-60

All JobsData Visualization Engineer JobsData Visualization Engineer Jobs in Massachusetts

Data Visualization Engineer information

See Massachusetts salary details

$48.6K

$141.7K

$193.9K

How much do data visualization engineer jobs pay per year?

As of Aug 17, 2026, the average yearly pay for data visualization engineer in Massachusetts is $141,666.00, according to ZipRecruiter salary data. Most workers in this role earn between $125,000.00 and $150,200.00 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 Massachusetts?

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

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

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

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

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

What cities in Massachusetts are hiring for Data Visualization Engineer jobs?

Cities in Massachusetts with the most Data Visualization Engineer job openings:

Data Visualization Engineer jobs near you
Infographic showing various Data Visualization Engineer job openings in Massachusetts as of July 2026, with employment types broken down into 1% As Needed, 78% Full Time, 11% Part Time, 3% Temporary, and 7% Contract. Highlights an 80% Physical, 4% Hybrid, and 16% Remote job distribution, with an average salary of $141,666 per year, or $68.1 per hour.

Data Analyst

Busek

Natick, MA • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 16 days ago

Job description

Job Title: Data AnalystAbout Busek

Busek Co. Inc. is a pioneer in advanced space propulsion and technology. Located in Natick, MA, we develop innovative solutions that enable the future of space exploration. Our products and technologies include electric propulsion systems, chemical propulsion, and advanced material development. Join our team to work on cutting-edge projects that shape the space industry.

Position Overview

Busek is seeking a Data Analyst to support the analysis of test and production data for advanced space propulsion systems. This role will work closely with Research and Development, Engineering, Test Operations, and Manufacturing to transform large volumes of technical data into meaningful insights that improve product performance, manufacturing processes, and production readiness.
The ideal candidate is analytical, curious, and self-motivated, with the ability to work independently and quickly learn new systems and technologies. While experience with electric propulsion is beneficial, candidates with strong data analysis skills and experience supporting engineering or manufacturing organizations are encouraged to apply.

Key Responsibilities• Analyze data generated from research and development, production, and manufacturing activities to identify trends, anomalies, and opportunities for improvement.
• Partner with Research and Development, Engineering, Manufacturing, and Test Operations to support product development and production initiatives.
• Support root cause investigations through data analysis and statistical evaluation.
• Validate data quality and ensure the integrity of engineering and manufacturing datasets.
• Develop reports, dashboards, and visualizations that communicate technical findings to engineering and leadership teams.
• Assist in developing automated reporting and data analysis tools to improve efficiency.
• Document analysis methods, assumptions, and results to support engineering decisions.
• Present findings and recommendations clearly to technical and non-technical audiences.
• Support continuous improvement initiatives by identifying opportunities to improve data collection, reporting, and decision-making.Qualifications         • Bachelor's degree in Engineering, Data Analytics, Mathematics, Computer Science, Physics, Statistics, or a related technical field.
• Strong analytical and problem-solving skills with the ability to interpret complex technical data.
• Experience analyzing large datasets using python, MATLAB, R, Julia, SQL, or other data analysis tools.
• Ability to work independently, manage multiple priorities, and learn new technologies with minimal supervision.
• Strong written and verbal communication skills.
• Attention to detail and a commitment to producing accurate, actionable analysis.Preferred Skills• Experience supporting engineering, manufacturing, aerospace, or other technical organizations.
• Familiarity with statistical analysis and data visualization techniques including uncertainty quantification methods.
• Experience working with production, manufacturing, or test data.
• Knowledge of electric propulsion, aerospace systems, or other advanced engineering technologies is a plus but not required.Benefits
  • Health, dental, and vision insurance.
  • Paid time off and holidays.
  • Retirement savings plan (401k).
  • Professional development opportunities.
  • Collaborative and innovative work environment.
What We Offer
  • Opportunity to work on cutting-edge space propulsion technology.
  • Exposure to advanced engineering, testing, and manufacturing operations.
  • Opportunity to influence product development and production decisions through meaningful data analysis.
  • Collaborative environment working alongside engineers developing next-generation space systems.
U.S. Citizenship Requirement

Due to the nature of work performed under U.S. government contracts and applicable security and contractual requirements, this position is limited to U.S. citizens.

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