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Volunteering Data Visualization Jobs (NOW HIRING)

You will join the Data Visualization Team, sitting within the Marketing Department's Creative Group ... Volunteering Paid Time Off Compensation: The US base salary range for this full-time position at ...

... volunteer. Why this job matters: The Sr Data Visualization Developer leads initiatives to design ... develop, andmaintainintuitive business intelligence dashboards and selfservice analytics tools that ...

Data Scientist

Fort Belvoir, VA · On-site

$160K - $190K/yr

Practical knowledge in Python Machine Learning and Data Visualization * Practical knowledge in Data ... Volunteer Paid Time Off, and a generous PTO package. We'd love to tell you more! Apply today! We ...

DATA ANALYST 1

Norco, CA · On-site

$33.17 - $42.31/hr

The ideal candidate will have foundational experience with data visualization, data cleaning ... voluntary benefits. Our goal is to grow together and enjoy the work that we do as a team. VSolvit ...

New

Provide data visualization to provide an expansive overview of integrated data * Create and update ... Voluntary Products Including: Critical Illness Insurance and Accident Insurance * Corporate ...

Visualization & Reporting : Develop dashboards and reports using tools such as Tableau, Power BI ... Voluntary Life Insurance (Employee/Spouse/Child) * Health Care and Dependent Care Flexible Spending ...

Design and develop dashboards, reports, and visualization using Power BI or other approved data ... This policy applies to faculty, staff, students, volunteers, visitors, applicants, and contractors ...

... and Data Visualization. Our Subject Matter Experts offer decades of experience working in the ... We focus on education, giving, skill-based volunteerism, and leadership to help drive positive ...

... and Data Visualization. Our Subject Matter Experts offer decades of experience working in the ... We focus on education, giving, skill-based volunteerism, and leadership to help drive positive ...

Experience with data visualization best practices and KPI development Requirements: * Ability to ... Short-Term Disability Insurance Voluntary Benefits: * Medical and Dental Insurance * Additional ...

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Volunteering Data Visualization information

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$54K

$109.5K

$161.5K

How much do volunteering data visualization jobs pay per year?

As of Jul 24, 2026, the average yearly pay for volunteering data visualization in the United States is $109,451.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,000.00 and $123,000.00 per year, depending on experience, location, and employer.
More about Volunteering Data Visualization jobs
What cities are hiring for Volunteering Data Visualization jobs? Cities with the most Volunteering Data Visualization job openings:
What are the most commonly searched types of Volunteering Data Visualization jobs? The most popular types of Volunteering Data Visualization jobs are:
What states have the most Volunteering Data Visualization jobs? States with the most job openings for Volunteering Data Visualization jobs include:
Infographic showing various Volunteering Data Visualization job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $109,451 per year, or $52.6 per hour.
Data Visualization Engineer

Data Visualization Engineer

Planet

San Francisco, CA • On-site, Remote

Other

Medical, Dental, Vision, PTO

Posted 10 days ago


Job description

About the Role:

In our increasingly data-driven world, it's essential for our customers and prospects to have accessible ways to understand the value of Planet data. You will join the Data Visualization Team, sitting within the Marketing Department's Creative Group alongside web developers and graphic designers. We are looking for a spatial thinker with a passion for remote sensing analysis and visual communication to help us leverage Planet's platform and imagery products for external distribution. You will use our unique datasets in compelling ways, suggesting and trying new technologies and creative approaches to make our platform more accessible.

This is a full-time, hybrid role which will require you to work from our San Francisco office 3 days per week.

Impact You'll Own:

  • Find and tell stories that showcase novel applications of Planet's unique products, and leveraging your ability to combine our imagery with complementary datasets.
  • Collaborate with Marketing colleagues to understand target audiences and create graphics for content to educate customers on how Planet data can meet their needs or solve their problems.
  • Assist in scoping and providing technical feedback on Marketing content, whether it's an animation, video, datasheet or presentation deck. You'll ensure that the data is accurately represented.
  • Partner with the Media Programs Manager and the rest of the DataViz team to prepare and share imagery externally with the press, think tanks and analysts as they try to meet tight deadlines.
  • Encourage and use best practices for data visualization as a knowledgeable resource within the organization.

What You Bring:

  • 4+ years experience in relevant technical roles, preferably working with geospatial and/or remote sensing data
  • Bachelor's degree in a relevant field
  • Ability to meet tight deadlines and prioritize workloads in a dynamic, client-driven work environment without sacrificing attention to detail
  • Experience collaborating with cross-functional teams and articulating complex technical concepts to diverse audiences
  • Knowledge of use cases for remote sensing data
  • Knowledge of cartographic and data visualization best practices
  • Experience in manipulating vector and raster data with core geospatial software and libraries (QGIS, ArcGIS, GDAL, Avenza Geographic Imager, Avenza MAPublisher, etc.)
  • Leverage the latest AI tooling and an AI-first mindset to drive rapid iteration, deliver value quickly, and adapt to evolving requirements with a bias for action
  • Experience programming with Python to analyze geospatial data and interact with APIs
  • Experience working with the Adobe Creative Suite (especially Adobe Photoshop and Adobe Illustrator)
  • Adept at learning new datasets, APIs, platforms, and technical concepts
  • Experience working with remote, distributed, global teams

What Makes You Stand Out:

  • Experience working in the space and/or Earth observation industry
  • Working knowledge of modern and widely supported front- and back-end programming languages, libraries, and frameworks (Javascript, React, D3, NextJS, Svelte, etc.)
  • Experience working with and visualizing hyperspectral data
  • Video and animation skills
  • Experience with web mapping and/or interactive web storytelling

Application Deadline:

October 6, 2026 by 11:59p / 23:59 CET (Central European Time)

Benefits While Working at Planet:

These offerings are dependent on employment type and geographical location, based upon applicable law or company policy.

  • Comprehensive Medical, Dental, and Vision plans
  • Health Savings Account (HSA) with a company contribution
  • Generous Paid Time Off in addition to holidays and company-wide days off 
  • 16 Weeks of Paid Parental Leave
  • Wellness Program and Employee Assistance Program (EAP)
  • Home Office Reimbursement
  • Monthly Phone and Internet Reimbursement
  • Tuition Reimbursement and access to LinkedIn Learning
  • Equity
  • Commuter Benefits (if local to an office)
  • Volunteering Paid Time Off

Compensation:

The US base salary range for this full-time position at the commencement of employment is listed below. Additionally, this role might be eligible for discretionary short-term and long-term incentives (bonus and equity). The final salary range is determined by job related experience, skills and location. The range displays our typical hiring range for new hire salaries in US locations only. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.