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Data Visualization Engineer Jobs in Massachusetts

AgZen

Senior Data Scientist

Somerville, MA · On-site

MS or PhD in Computer Science, Engineering, Statistics, Mathematics, Physics, or related field (or ... Proficient in exploratory data analysis (EDA) and data visualization to understand and present ...

ICONSTAFF

Senior Backend Engineer

Boston, MA · Remote

$160K - $240K/yr

Senior Backend Engineer Role The Opportunity As a Senior Backend Engineer, you'll design and build ... Experience with LLMs, Docker/Kubernetes, or data visualization * Startup or full-stack experience ...

Cni

Data Analyst III

Natick, MA

$95K - $120K/yr

Collaborates with IT and data engineering teams to enhance data infrastructure and ensure ... Utilizes scripting and querying tools like Python, R, or SQL, data visualization/BI tools ...

New

MFS

Sr. Data Engineer

Boston, MA · Hybrid

$95K - $137K/yr

THE ROLE The Sr. Data Engineer will play a critical role in enhancing and maintaining a data ... Experience with data visualization and concepts around display of data * Equity and fixed income ...

phasevtrials.com

Senior Data Scientist

Boston, MA · On-site

$100 - $130/hr

Strong programming skills in Python (R in addition - an advantage) * Proficiency in statistical analysis and machine learning * Experience with data visualization and communication of technical ...

Mwe

Pricing Data Engineer

Boston, MA · On-site

$110K - $169K/yr

The Pricing Data Engineer builds and maintains the data infrastructure and tools that enable ... and data visualization/reporting tools preferred * Strong mathematical and analytical skills

Bayer

Associate Dir, Full Stack Data Scientist

Cambridge, MA · On-site +1

$64K - $65K/yr

Experience with data visualization libraries (D3.js, Plotly, etc.); Understanding of MLOps or model deployment practices; Background in scientific computing, data engineering, or experimental ...

Bayer

Associate Dir, Full Stack Data Scientist

Cambridge, MA · On-site

$64K - $65K/yr

Experience with data visualization libraries (D3.js, Plotly, etc.); * Understanding of MLOps or model deployment practices; * Background in scientific computing, data engineering, or experimental ...

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 ...

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Showing results 21-40

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 16, 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.

Senior Data Scientist

AgZen

Somerville, MA • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 24 days ago

Job description

About AgZen:
AgZen is a fast-growing precision agriculture company headquartered in Somerville, MA, built on MIT research and focused on one problem: making crop spraying more efficient. Our flagship product, RealCoverage, is the world's first system that measures and controls droplet coverage at the leaf level, giving growers real-time visibility into spray performance and cutting chemical and water use by up to 50% without sacrificing yield.
We are a small, technically deep team working at the intersection of fluid mechanics, computer vision, AI, and real agricultural environments. If you want to build technology with measurable impact on how the world grows food, this is the place to do it.
About the Role
We are looking for a sharp, tenacious, and thorough Senior Data Scientist to join our team. As part of the the perception team, you'll be responsible for uncovering patterns from crop protection data collected from RealCoverage units installed on sprayers all around the world. Along with being a key player in our ML team, you will design dashboards and reports and develop a data-driven recommendation engine that enables further agricultural optimization. This role will be an essential bridge between AgZen's customer success and measurement groups. Strong communication, flexibility, teamwork, the desire to take on different responsibilities and own them will all be essential skills for a successful applicant.
This role is located in Somerville, MA (Boston area) with work required to be in-person.
What You'll Do
  • Perform historical data analysis of spray applications by identifying patterns and analyzing the impact of key factors including input parameters, rates, mixtures, agricultural practices, and environmental conditions
  • Apply advanced statistical, machine learning, forecasting, optimization, and experimentation methodologies to solve complex agricultural data challenges
  • Architect and operationalize machine learning solutions including AgZen's RealCoverage Recommendation Engine
  • Build tooling and support non-technical domain experts in understanding perception pipeline performance and identifying opportunities for pipeline improvement
  • Drive data-centric ML model improvements to achieve critical AgZen milestones
  • Define and implement scalable data quality measures across complex, multimodal data labeling pipelines
  • Contribute to an organization wide data ontology and class structure for perception models
  • Collaborate closely with cross-functional teams of software engineers, machine learning scientists, product specialists, and researchers to design, build, and maintain robust data pipelines grounded in sound data organization, domain knowledge, and careful analysis
  • Communicate technical findings, data characteristics, and limitations clearly and effectively to both internal partners and external collaborators

What We're Looking For
Required:
  • MS or PhD in Computer Science, Engineering, Statistics, Mathematics, Physics, or related field (or BS with equivalent work experience)
  • Proficient using data query languages (SQL/postgreSQL) to quickly build complex yet efficient data queries at scale and using Python to build production-quality code
  • Proficient in exploratory data analysis (EDA) and data visualization to understand and present trends and their implications for the business.
  • Background in statistical modeling and analysis, including experience making data-driven decisions from physical sensor data
  • Proven experience in the use of the main data-science, analytics, modeling and visualization Python libraries, including machine learning and deep learning
  • Strong data-centric ML development, careful data curation, and the ability to quickly develop agricultural domain expertise
  • Creative, naturally curious, and willing to take intellectual risks
  • Adaptability to different business challenges and data types / sources and to learn and utilize a range of different analytical tools and methodologies
  • Analytical problem-solving skills with innovative thinking, while effectively collaborating across diverse teams and managing multiple priorities in a multicultural scientific environment

Preferred:
  • Experience with the field of agriculture or related fields such as environmental or life sciences
  • Knowledge of interfacial science, crop science and/or fluid dynamics
  • Experience with data science based on real-world physical sensors data
  • Experience with vision-based ML
  • Prior experience in developing data-driven customer facing recommendation system
  • Experience creating intuitive data visualization tools that make complex data approachable for non-technical users
  • Prior experience in developing machine-learning models relevant to biological or crop protection outcomes
  • Advanced scientific Python (NumPy, Pandas, scikit-learn) and hands-on experience with PyTorch and/or TensorFlow, including training and deploying neural networks
  • Hands-on experience leveraging generative AI approaches for data exploration, model development, or research acceleration

What We Offer
  • The opportunity to make an immediate and visible impact in a fast-growing company
  • Early-employee equity
  • 401(k) with employer matching at 6 months of employment
  • 6 weeks of PTO per calendar year
  • 12 paid holidays
  • Medical, Dental and Vision insurance

The salary range for this position is $150,000 - $180,000 depending on skills and qualifications evaluated on a per candidate basis.

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