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Data Visualization Jobs in Kent, WA (NOW HIRING)

This role will focus on the software engineering aspects, such as building robust, scalable data visualization applications, custom tools, and platforms, and integrating them with existing data ...

Create algorithms to perform large-scale traffic analysis and summarize data for graphing and visualization. Mandatory Skills: Coding Experience Powershell, C#, or Python, Deep Network experience ...

Data Visualization The ideal candidate's experience may include but is not limited to the following: * Have experience understanding and solving real business problems * Have experience with ...

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 ...

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 ...

Establish and maintain a Global Spotfire Library, aligning visualization standards across multiple studies and programs. * Train and mentor Clinical Data Managers and other stakeholders in ...

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Data Visualization information

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$61K

$123.6K

$182.3K

How much do data visualization jobs pay per year?

As of Jun 9, 2026, the average yearly pay for data visualization in Kent, WA is $123,557.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,600.00 and $138,900.00 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 Kent, WA? The most popular types of Data Visualization jobs in Kent, WA are:
What are popular job titles related to Data Visualization jobs in Kent, WA? For Data Visualization jobs in Kent, WA, the most frequently searched job titles are:
What job categories do people searching Data Visualization jobs in Kent, WA look for? The top searched job categories for Data Visualization jobs in Kent, WA are:
What cities near Kent, WA are hiring for Data Visualization jobs? Cities near Kent, WA with the most Data Visualization job openings:
Infographic showing various Data Visualization job openings in Kent, WA as of June 2026, with employment types broken down into 100% Full Time. Highlights an 57% In-person, 14% Hybrid, and 29% Remote job distribution, with an average salary of $123,557 per year, or $59.4 per hour.
Sr. Data Visualization Engineer

Sr. Data Visualization Engineer

Apple

Seattle, WA

$139K - $258K/yr

Full-time

Medical, Dental, Retirement

Posted 2 days ago


Apple rating

8.1

Company rating: 8.1 out of 10

Based on 661 frontline employees who took The Breakroom Quiz

6th of 30 rated technology retailers


Job description

Help the experimentation platform team in Apple Services Engineering implement intuitive dashboards that make complex evaluation flows and metrics easily consumable by ML Engineers, Product, and Leadership. This is a great opportunity for someone passionate about adding value to large data sets and empowering stakeholders to make decisions. This role will focus on the software engineering aspects, such as building robust, scalable data visualization applications, custom tools, and platforms, and integrating them with existing data pipelines and cloud platforms. The tools you build will be in the daily workflow of our engineers and data scientists who are improving features and experiences for Apple customers. You will be on the team responsible for building tools that coordinate hill climbing on ML models and features and creating intuitive interfaces that display metrics and analysis of how those models and features perform as well as highlight key ways those features can improve.
Description
This role focuses specifically on designing and developing the visual representations of data, such as interactive dashboards, charts, graphs, and infographics. They bridge the gap between raw data and informed decision-making, using both design principles and technical skills (e.g., JavaScript charting libraries, D3.js).","responsibilities":"Creating visual representations: Designing charts, graphs, maps, and interactive dashboards to make complex data understandable.
Programming and tool usage: Utilizing programming languages (Python, R, JavaScript, SQL) and software (Tableau, Power BI, D3.js) to extract, clean, and transform data for visualization.
Interface Design: Ensuring user-friendly interfaces with good user experience (UX) and accessibility.
Collaboration: Working closely with data analysts, data scientists, and business stakeholders to understand requirements and ensure the visualizations accurately represent the insights derived from the data.
Storytelling: Using visuals to create a compelling narrative around the data to engage audiences and drive business decisions.
Preferred Qualifications
The ability to work closely with ML Engineers building both features and evaluation services.
Foundational knowledge in statistics and uncertainty quantification to accurately represent data variability, confidence intervals, and probabilistic outcomes in visual formats.
Proven ability to write readable and maintainable code. Excellent debugging, analytical, problem solving, and interpersonal skills.
Proficiency with languages such as Python, R, Ruby, and SQL to query data sets.
ML Engineering exposure is a plus.
Minimum Qualifications
A proven track record of communicating effectively via compelling visuals that create a clear narrative for the intended audience and ensure user friendly interfaces.
Proficiency in designing and developing visual representations of key metrics that may require charts, graphs, and interactive dashboards.
Ability to collaborate closely with research scientists and data science teams to translate complex analytical findings into clear, actionable visualizations that drive decision-making.
At least 5 years of experience developing intuitive data visualizations.
Bachelors in relevant field or equivalent experience.
Pay & Benefits
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $139,500 and $258,100, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

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About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976