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Data Visualization Jobs in Kent, WA (NOW HIRING)

Use business intelligence and visualization software (e.g., QuickSight.) to develop dashboards ... Develop deep understanding of vast data sources and know exactly how, when, and which data to use ...

Use business intelligence and visualization software (e.g., QuickSight.) to develop dashboards ... Develop deep understanding of vast data sources and know exactly how, when, and which data to use ...

Use business intelligence and visualization software (e.g., QuickSight.) to develop dashboards ... Develop deep understanding of vast data sources and know exactly how, when, and which data to use ...

Use business intelligence and visualization software (e.g., QuickSight.) to develop dashboards ... Develop deep understanding of vast data sources and know exactly how, when, and which data to use ...

Use business intelligence and visualization software (e.g., QuickSight.) to develop dashboards ... Develop deep understanding of vast data sources and know exactly how, when, and which data to use ...

Use business intelligence and visualization software (e.g., QuickSight.) to develop dashboards ... Develop deep understanding of vast data sources and know exactly how, when, and which data to use ...

Use business intelligence and visualization software (e.g., QuickSight.) to develop dashboards ... Develop deep understanding of vast data sources and know exactly how, when, and which data to use ...

Lead the creation & development of a standard library of reporting and/or analysis solutions (report, dashboard, visualization, or other) for Data Sciences and other stakeholders. * Gather ...

The IT Data Scientist role involves applying AI and machine learning techniques to enhance business ... visualization. • Conducts A/B testings for DS Models and provides options to business. • ...

Join Walmart as a Staff Data Scientist and leverage your expertise in predictive analytics, machine learning, and data visualization to drive data-driven decision-making across business functions.

Data Engineer (Entry)

Bellevue, WA · On-site

$129K - $155K/yr

... data visualization tools Candidates lacking technical skills or relevant experience can research our Job Placement Programs which can assist in landing a Job If you get emails from our Job Placement ...

Sr. Data Engineer (Starlink Growth)

Redmond, WA · On-site

$128K - $154K/yr

... visualization skills, including experience in geospatial data representations • Excellent verbal and written communication skills • Experience with developing and deploying tools used for data ...

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Data Visualization information

See Kent, WA salary details

$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.
Data Engineer II, DBS BI

Data Engineer II, DBS BI

Amazon

Bellevue, WA • On-site

Full-time

Posted 20 days ago


Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 6,828 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers


Job description

AWS Databases, Analytics and AI/ML Products and Services is one of the largest and fast-growing business unit within AWS. We are working to rebuild and revolutionize data engineering and business intelligence systems within database, analytics and AI/ML organization to support fast growing business needs.
We are looking for experienced, self-driven Data Engineer. In this role, you will be building complex data engineering and business intelligence applications using AWS big data stack

You should have deep expertise and passion in working with large data sets, data visualization, building complex data processes, performance tuning, bringing data from disparate data stores and programmatically identifying patterns. You should have excellent business acumen and communication skills to be able to work with business owners to develop and define key business questions and requirements. You will provide guidance and support for other engineers with industry best practices and direction.

Amazon Web Services (AWS) has culture of data-driven decision-making, and demands timely, accurate, and actionable business insights.
Key job responsibilities
Design, implement, and support data warehouse / data lake infrastructure using AWS big data stack, Python, Redshift, QuickSight, Glue/lake formation, EMR/Spark/Scala, Athena etc.
Develop and manage ETLs to source data from various commercial, sales and operational systems and create unified data model for analytics and reporting.
Use business intelligence and visualization software (e.g., QuickSight.) to develop dashboards those are used by senior leadership.
Empower technical and non-technical, internal customers to drive their own analytics and reporting (self-serve reporting) and support ad-hoc reporting when needed.
Develop deep understanding of vast data sources and know exactly how, when, and which data to use to solve particular business problems.
Work with Product Managers, Finance, Service Engineering Teams and Sales Teams on day-to-day basis to support their new analytics requirements.
Manage numerous requests concurrently and strategically, prioritizing when necessary
Partner/collaborate across teams/roles to deliver results.
Mentor other engineers, influence positively team culture, and help grow the team.


What Amazon employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Amazon logo

About Amazon

Sourced by ZipRecruiter

Amazon.com, Inc., commonly known as Amazon, is an American multinational technology company. It was founded by Jeff Bezos in 1994 and initially started as an online marketplace for books. Since then, Amazon has expanded its operations and become one of the largest e-commerce companies in the world. Amazon's primary business is its online retail platform, where customers can purchase a vast array of products, including electronics, clothing, books, home goods, and much more. The company offers a convenient and user-friendly shopping experience, with features such as fast shipping, customer reviews, and personalized recommendations. In addition to its e-commerce platform, Amazon has diversified its business into various other areas. One of its notable ventures is Amazon Web Services (AWS), a comprehensive cloud computing platform that provides services such as storage, compute power, and database management to individuals and businesses. AWS has become a leader in the cloud computing industry, powering many websites and applications worldwide. Amazon has also developed its own consumer electronics, including the popular Amazon Kindle e-reader, Fire tablets, Fire TV streaming devices, and the Alexa-powered Echo smart speakers. The Alexa voice assistant, integrated into these devices, allows users to interact with their devices using voice commands, perform tasks, and access information. Furthermore, Amazon has expanded into media and entertainment. It operates Prime Video, a streaming service that offers a wide range of movies, TV shows, and original content. Amazon Music provides a platform for streaming and purchasing digital music, while Audible offers audiobooks and other audio content. The company's commitment to customer satisfaction and convenience is demonstrated by its membership program, Amazon Prime. Prime members receive various benefits, including free two-day shipping, access to streaming services, exclusive deals, and more.

Industry

It services, book publishers, retail, real estate and computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Seattle, WA, US