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Data Visualization Jobs in Alameda, CA (NOW HIRING)

Planet

Data Visualization Engineer

San Francisco, CA · On-site +1

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 ...

Planet

Data Visualization Engineer

San Francisco, CA · On-site

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 ...

Programmers.io

Data Platform Engineer

San Jose, CA · On-site

$134K - $161K/yr

Data Visualization Power BI - Dashboard creation, interactive reports. Tableau - Data visualization and analytics dashboards. Cloud & Data Platforms AWS Azure Databricks Familiarity with modern data ...

Landpoint

Remote Data Analyst

Fremont, CA · Remote

Data analysts use data visualization tools like Tableau and Power BI to create clear and engaging reports that effectively communicate their findings to stakeholders. These visualizations help ...

Centstone

Data Engineer

Sunnyvale, CA · On-site

$75 - $85/hr

Experience with data architecture, reporting, and data visualization tools. * Exposure to AI/ML concepts and enterprise analytics platforms. * Excellent communication, stakeholder management, and ...

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All JobsData Visualization JobsData Visualization Jobs in Alameda, CA

Data Visualization information

See Alameda, CA salary details

$61.2K

$124K

$183K

How much do data visualization jobs pay per year?

As of Aug 6, 2026, the average yearly pay for data visualization in Alameda, CA is $124,047.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,000.00 and $139,400.00 per year, depending on experience, location, and employer.

What is data visualization?

Data visualization is the process of taking statistical data and preparing it in a visual context that is easier to understand. You use software and graphics to demonstrate patterns, correlations, and trends that appear more significant when viewed outside of a written context. Visual representation comes in the form of infographics, heat maps, geographic maps, and detailed pie or bar charts. Business intelligence recognizes the need for appropriate colors and images and is now standard for modern organizations. Data visualization is also a reporting tool that tracks performance and generates dashboards to observe click-through rates digital marketing campaigns.

What is the difference between Data Visualization vs Data Analyst?

AspectData VisualizationData Analyst
Primary FocusCreating visual representations of dataAnalyzing and interpreting data
SkillsData visualization tools, graphic design, storytellingStatistical analysis, Excel, SQL, data interpretation
ToolsTableau, Power BI, D3.jsExcel, SQL, R, Python
Work EnvironmentDesign-focused, often collaborative with data teamsAnalytical, research-oriented, cross-departmental

Data Visualization specialists focus on creating visual representations to communicate data insights effectively, while Data Analysts analyze data to uncover trends and inform decisions. Both roles often collaborate but serve different core functions within data-driven organizations.

What is data visualization?

Data visualization is the process of representing data and information in a graphical or pictorial format, such as charts, graphs, or maps. This practice helps people understand complex data sets more easily by highlighting patterns, trends, and outliers. Data visualization is widely used in various industries to support decision-making, communicate insights, and make data more accessible to a broader audience.

Is data visualization a good career?

Data visualization is a valuable career in data analysis and business intelligence, involving creating visual representations of data using tools like Tableau, Power BI, or Python. It requires strong analytical skills, knowledge of data tools, and the ability to communicate insights effectively, making it a growing field with increasing demand across industries.

What are some common challenges faced by professionals in data visualization roles, and how can they be addressed?

Professionals in Data Visualization often encounter challenges such as translating complex datasets into clear, meaningful visuals and ensuring that visualizations are both accurate and accessible to diverse audiences. Balancing aesthetic appeal with functionality can also be demanding, as visuals must communicate insights without causing confusion. To address these challenges, effective collaboration with data analysts, subject matter experts, and end-users is essential, as is staying current with best practices and visualization tools. Regular feedback and iteration help refine visualizations to best meet stakeholders' needs.

What are the key skills and qualifications needed to thrive as a data visualization specialist, and why are they important?

To thrive as a Data Visualization Specialist, you need strong analytical abilities, a solid foundation in statistics, and proficiency with data visualization principles, typically supported by a degree in data science, computer science, or a related field. Familiarity with visualization tools such as Tableau, Power BI, or D3.js, and experience with data processing languages like Python or R, are commonly required. Creativity, attention to detail, and effective communication skills help convey complex data insights clearly to diverse audiences. These skills ensure that data is transformed into actionable, visually compelling insights that drive informed decision-making within organizations.

Does data visualization pay well?

Data visualization professionals typically earn competitive salaries, especially with experience and proficiency in tools like Tableau, Power BI, or D3.js. Salaries vary by industry, location, and skill level but generally align with other data analysis roles, with higher pay for those who combine visualization skills with data analysis or programming expertise.

What skills are needed for data visualization jobs?

Data visualization jobs require skills in data analysis, proficiency with visualization tools like Tableau, Power BI, or D3.js, and a strong understanding of design principles to create clear, effective visuals. Knowledge of programming languages such as Python or R and the ability to interpret complex data sets are also important. Additionally, good communication skills help in explaining insights to non-technical stakeholders.
More about Data Visualization jobs
What are popular job titles related to Data Visualization jobs in Alameda, CA? For Data Visualization jobs in Alameda, CA, the most frequently searched job titles are:
What job categories do people searching Data Visualization jobs in Alameda, CA look for? The top searched job categories for Data Visualization jobs in Alameda, CA are:
What cities near Alameda, CA are hiring for Data Visualization jobs? Cities near Alameda, CA with the most Data Visualization job openings:
Data Visualization jobs near you
Infographic showing various Data Visualization job openings in Alameda, CA as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 16% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $124,047 per year, or $59.6 per hour.

Data Visualization Engineer

Planet

San Francisco, CA • On-site, Remote

Other

Medical, Dental, Vision, PTO

Posted 22 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.

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