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Data Visualization Engineer Jobs in New York (NOW HIRING)

C2Q Health Solutions

DATA ENGINEER III

Queens, NY · On-site

$119K - $143K/yr

Collaborate with analysts and business stakeholders to understand data visualization requirements ... Document data engineering processes, standards, and best practices. * Use Git and Github for ...

C2Q Health Solutions

DATA ENGINEER III

New York, NY · On-site

$125K - $150K/yr

Collaborate with analysts and business stakeholders to understand data visualization requirements ... Document data engineering processes, standards, and best practices. * Use Git and Github for ...

Virtusa

Data Architect

New York, NY · On-site

$69.75 - $89.75/hr

Experience with data visualization tools and platforms such as Tableau, Power BI, or similar. Strong programming skills in Python, Java, SQL and Scala. Experience in cloud platforms like AWS, Azure ...

Virtusa

Data Architect

New York, NY · On-site

$69.75 - $89.75/hr

Experience with data visualization tools and platforms such as Tableau, Power BI, or similar. Strong programming skills in Python, Java, SQL and Scala. Experience in cloud platforms like AWS, Azure ...

Mondo

Data Engineer

Manhattan, NY · On-site

$65 - $72/hr

Data Engineer Location-Type: NYC Hybrid (7 days onsite/ month) Start Date Is: Mid August Duration ... with data visualization tools (e.g., d3, plotly or Carto preferred). Soft Skills: o Strong ...

Keystone

Data Engineer

Manhattan, NY · On-site

$126K - $151K/yr

The Data Engineer will lead the design and implementation of scalable data workflows and ... data visualization and analytic tooling (e.g., Power BI, Tableau, Streamlit) for client and ...

SEI

Data and Analytics Consultant

New York, NY · On-site

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 ...

Hang

Data Scientist

New York, NY · On-site +1

Proficiency in programming languages such as Python or R. * Experience with data visualization tools and databases. * Excellent analytical and problem-solving abilities. * Strong communication skills ...

Canon U.S.A., Inc.

Data Scientist

Melville, NY · Hybrid

... Programming (Python, SQL) - Machine learning & statistics - Data visualization (Tableau, Power BI, Matplotlib, Looker) - Data wrangling and preprocessing - Critical thinking and problem solving ...

Canon U.S.A., Inc.

Data Scientist

Melville, NY · Hybrid

... Programming (Python, SQL) - Machine learning & statistics - Data visualization (Tableau, Power BI, Matplotlib, Looker) - Data wrangling and preprocessing - Critical thinking and problem solving ...

Canon U.S.A., Inc.

Data Scientist

Melville, NY · Hybrid

... Programming (Python, SQL) - Machine learning & statistics - Data visualization (Tableau, Power BI, Matplotlib, Looker) - Data wrangling and preprocessing - Critical thinking and problem solving ...

Canon Careers

Data Scientist

Melville, NY · Hybrid

$69K/yr

... Programming (Python, SQL) - Machine learning & statistics - Data visualization (Tableau, Power BI, Matplotlib, Looker) - Data wrangling and preprocessing - Critical thinking and problem solving ...

Canon U.S.A., Inc.

Data Scientist

Melville, NY · On-site

... Programming & Tools: Work with: Python, R, SQL, Machine learning frameworks (TensorFlow, Scikit-learn), Use big data technologies (Spark, Hadoop) when needed - Data Visualization & Communication:

Atrosphere Technologies

Data Scientist

Manhattan, NY · On-site

$80 - $120/hr

Collaborate with engineering teams to deploy models * Communicate findings to stakeholders * Stay ... Proficiency in Python, R, SQL, and data visualization tools * Experience with machine learning ...

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All JobsData Visualization Engineer JobsData Visualization Engineer Jobs in New York

Data Visualization Engineer information

See New York salary details

$48.7K

$141.9K

$194.2K

How much do data visualization engineer jobs pay per year?

As of Aug 8, 2026, the average yearly pay for data visualization engineer in New York is $141,914.00, according to ZipRecruiter salary data. Most workers in this role earn between $125,300.00 and $150,400.00 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 York? The most popular types of Data Visualization Engineer jobs in New York are:
What are popular job titles related to Data Visualization Engineer jobs in New York? For Data Visualization Engineer jobs in New York, the most frequently searched job titles are:
What job categories do people searching Data Visualization Engineer jobs in New York look for? The top searched job categories for Data Visualization Engineer jobs in New York are:
Data Visualization Engineer jobs near you
Infographic showing various Data Visualization Engineer job openings in New York 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 $141,914 per year, or $68.2 per hour.

Data Scientist ::Onsite in NYC, NY (Onsite)

Talent Movers

New York, NY • On-site

Contractor

Re-posted 12 days ago

Job description

Title : Data Scientist

Location: Onsite in NYC, NY (Onsite)

Rate: ON C2C/W2

 

Top 3 must-have HARD skills:

Experience with hardware sensors and real-world data analysis
Direct experience working with biosensors or similar hardware, and analyzing the resulting data.
Signal processing expertise
Ability to process time domain signals and/or medical imaging systems, which is crucial for biosensor data.
Advanced programming and data manipulation
3+ years of hands-on experience with Python, R, MATLAB, or SQL for data extraction, manipulation, and visualization, including proficiency with scientific computing and analysis packages (NumPy, SciPy, Pandas, Scikit-learn, etc.).

Good to have skills:

Experience presenting findings from statistical and machine learning methods to diverse audiences.
Proficiency in data structures and algorithms.
Experience with data visualization libraries (Matplotlib, Pyplot, seaborn, ggplot2).
Experience working with large datasets.
Familiarity with scientific computing and analysis packages (dplyr, caret).
Advanced degree (Master’s or PhD) in computer science, statistics, neuroscience, biomedical engineering, or related field.

Job Description:

Summary:
The main function of the Data Scientist is to produce innovative solutions driven by exploratory data analysis from complex and high-dimensional datasets. The Data Scientist will contribute to biosensor data analysis and help to guide future biosensing R&D.
Job Responsibilities:
Execute, debug, and optimize distributed compute workflows for metric computation, analysis, and modeling across large datasets.
Apply knowledge of statistics, machine learning, programming, data modeling, simulation, and advanced mathematics to recognize patterns, identify opportunities, and make valuable discoveries leading to prototype biosensor development and product improvement.
Use a flexible, analytical approach to design, develop, and evaluate predictive models and advanced algorithms that lead to optimal value extraction from the biosensor data.
Generate and test hypotheses and analyze and interpret the results of product experiments.
Work with product engineers to translate prototypes into new products, services, and features and provide guidelines for large-scale implementation.
Leverage data visualization to help the team make decisions about future R&D directions to go.
Skills:
Experience with hardware sensors, and data analysis pertaining to real-world data.
Experience with signal processing pertaining to time domain signals and/or medical imaging systems
Experience presenting findings from statistical and machine learning methods to diverse audiences
Experience working with large datasets.
3+ years of experience performing data extraction, manipulation, and visualization using programming languages (e.g., Python), scientific computing languages (e.g., R, MATLAB), or SQL.
Proficiency in data structures and algorithms.
Experience with scientific computing and analysis packages such as NumPy, SciPy, Pandas, Scikit-learn, dplyr, caret.
Experience with data visualization libraries such as Matplotlib, Pyplot, seaborn, ggplot2.
Education/Experience:
Master of Science or PhD degree in computer science, statistics, neuroscience, biomedical engineering, or other relevant field.