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Data Visualization Jobs in Oregon (NOW HIRING)

Data Visualization Engineer 4

Beaverton, OR · On-site

$119K - $143K/yr

Job Title- Data Visualization Engineer 4 Reporting Type- Beaverton, OR 97005 Work Timing- Monday to Friday, 9am to 5pm Duration: 06 months Job Type: Hybrid (4 Days onsite/week) *W2 candidates only ...

... visualization and presentations. • Stay up to date with the latest trends and technologies in data science and machine learning. • Ability to work independently and collaborate as part of a team ...

... visualization techniques Propose solutions and strategies to business challenges Collaborate with engineering and product development teams Requirements and skills Proven experience as a Data ...

Communicate findings and insights to technical and non-technical audiences through data visualization and presentations. * Stay up to date with the latest trends and technologies in data science and ...

Responsibilities include developing algorithms, building predictive models, and communicating findings through data visualization. This role often requires a PhD in a statistics field. This job ...

OR · On-site

Responsibilities include developing algorithms, building predictive models, and communicating findings through data visualization. This role often requires a PhD in a statistics field. This job ...

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Data Visualization information

See Oregon salary details

$57.1K

$115.7K

$170.8K

How much do data visualization jobs pay per year?

As of Jun 6, 2026, the average yearly pay for data visualization in Oregon is $115,720.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,200.00 and $130,000.00 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.

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.
What are the most commonly searched types of Data Visualization jobs in Oregon? The most popular types of Data Visualization jobs in Oregon are:
What cities in Oregon are hiring for Data Visualization jobs? Cities in Oregon with the most Data Visualization job openings:
Infographic showing various Data Visualization job openings in Oregon as of May 2026, with employment types broken down into 72% Full Time, 14% Part Time, and 14% Contract. Highlights an 86% In-person, and 14% Remote job distribution, with an average salary of $115,720 per year, or $55.6 per hour.

Data Visualization Engineer 4

campus4tech

Beaverton, OR • On-site

$119K - $143K/yr

Full-time

Posted 15 days ago


Job description

Job Title- Data Visualization Engineer 4
Reporting Type- Beaverton, OR 97005
Work Timing- Monday to Friday, 9am to 5pm
Duration: 06 months
Job Type: Hybrid (4 Days onsite/week)
*W2 candidates only, no C2C or Third Party Vendors
Experience
- 5+ years' experience
Responsibilities
- Candidates should be able to navigate variant data sources and be able to trace back to the source of truth from code
- Will work with ~10-12 people on direct team: principal engineers; domain partners (leadership, VP level); other software engineers; cost analysts & finance partners
- This role is priority, and the team will be prioritizing those who can start ASAP
- The HM would like suppliers to let potential candidates know of DTL weeks in December so that they aren't blindsided by that down the road
Please advertise my role as DATA/VISUALIZATION ENGINEER, not just visualization engineer. Data experience will be key in this position.
The team will prioritize those candidates who can start ASAP.
Requirements
Top skills include the following:
- Data/visualization engineering skills
- Ability to trace back data code to find the source of truth
- Experience with Azure and AWS
- Ability to write and understand code (Python)
- SQL experience
- Power BI experience
Necessary soft skills:
- Ability to work independently AND in a dynamic team environment
- Ability to document processes and teach others
Skills that would make someone stand out:
- Financials knowledge
- Prior automation experience