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Data Visualization Jobs in Kent, WA (NOW HIRING)

Pyramid IT

Network Data Analysis

Redmond, WA · On-site

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 ...

SEI

Data and Analytics Consultant

Seattle, WA · On-site

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 ...

Walmart

Director, Data Science

Bellevue, WA · On-site

$169K - $338K/yr

The position requires expertise in coding, data quality assessment, and visualization to translate complex data into actionable insights. The Director mentors teams, drives innovation, and ...

Docker

Data Scientist, Data Insights

Seattle, WA · On-site +1

Mentor junior analysts on best practices for data visualization, statistical analysis, and clear communication of results. Qualifications Required: Technical Expertise * 3+ years of experience in a ...

Systimmune

Clinical Data Analyst, Spotfire

Redmond, WA · On-site

$90K - $130K/yr

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 ...

Scout ET

Data Analyst with Power BI Report

Redmond, WA · On-site

Intermediate data analysis experience and insights generation Strong experience with data visualization in excel and PowerPoint Excellent communication skills - ability to understand the requirements ...

Amazon

Data Engineer II, DBS BI

Bellevue, WA

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 ...

Amazon

Data Engineer II, DBS BI

Bellevue, WA · On-site

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 ...

Costco Wholesale

IT Data Scientist

Seattle, WA · On-site

Vertex AI (training, prediction, pipelines), AutoML, TensorFlow • Experience with at least one data visualization tool, preference: PowerBI. Looker • Strong working knowledge of Cloud platforms ...

Walmart

(USA) Staff, Data Scientist

Bellevue, WA · On-site

$132K - $264K/yr

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.

Anthropic

Data Scientist, Safeguards

Seattle, WA

Expertise in Python, SQL, and data visualization tools. * A bias for action and urgency, not letting perfect be the enemy of the effective. * A strong disposition to thrive in ambiguity, taking ...

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All JobsData Visualization JobsData Visualization Jobs in Kent, WA

Data Visualization information

See Kent, WA salary details

$61K

$123.6K

$182.3K

How much do data visualization jobs pay per year?

As of Jul 7, 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.

Is 40 too late for data science?

Data visualization is a key skill in data science, and individuals can successfully transition into this field at any age, including 40. Building relevant skills such as proficiency in tools like Tableau or Power BI, along with foundational knowledge in statistics and programming, can facilitate entry regardless of age, as employers value experience and diverse perspectives.

Can I be a data analyst with no experience?

Data analysts typically need some familiarity with data analysis tools like Excel, SQL, or visualization software such as Tableau. While prior experience is often preferred, entry-level positions may be available for those who demonstrate strong analytical skills and a willingness to learn through courses or certifications. Building a portfolio of projects can also improve chances of securing a data analyst role without formal experience.

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 demand across many 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.

What jobs do data visualization?

Data visualization jobs include roles such as data analyst, data scientist, business intelligence analyst, and data visualization specialist. These positions involve creating visual representations of data using tools like Tableau, Power BI, or Python to help organizations interpret complex information and support decision-making.
More about Data Visualization jobs
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 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:
Data Visualization jobs near you
Infographic showing various Data Visualization job openings in Kent, WA as of July 2026, with employment types broken down into 87% Full Time, and 13% Contract. Highlights an 75% In-person, and 25% Remote job distribution, with an average salary of $123,557 per year, or $59.4 per hour.
Engineering Manager - Data Visualization Platform

Engineering Manager - Data Visualization Platform

Databricks

Bellevue, WA

Other

Posted 2 days ago

Job description

At Databricks, we are passionate about enabling data teams to solve the world's toughest problems - from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI products so our customers can use deep data insights to improve their business.

We are the Data Visualization team, a core part of the AI/BI organization. Our mission is to enable everyone in an organization to make intelligent business decisions informed by the best data available. We empower business teams via self-service analytics, helping them author high-quality visualizations and dashboards using our AI-first authoring experience. We own the visualization library, the dashboarding canvas, and the agentic authoring workflows that bridge the gap between complex data and actionable insights.

We are seeking a dedicated Engineering Leader for our Data Visualization team in Bellevue. This team is responsible for the entire life cycle of visual insights: from the underlying visualization framework (using technologies like React and Vega-Lite) to building advanced features like field variables, drill-downs, and AI-driven chart generation.

You will report directly to the Senior Manager of Engineering.

The Role
  • Lead a Talented Team: You will lead a high-performing engineering team in Bellevue focused on revolutionizing how users visualize data with AI/BI Dashboards.
  • Talent Development: You will oversee the sustained recruitment of top-tier frontend and visualization talent and foster a culture of mentorship and professional growth.
  • Strategic Execution: You will build processes to implement the AI/BI product vision, focusing on "BI Takeout" initiatives to replace legacy tools with superior Databricks-native experiences.
  • Operational Excellence: You will ensure the visualization platform is not only feature-rich but also high-performing, reliable, and easy to operate.
  • Technical Stewardship: You will manage technical debt (e.g., framework migrations, performance optimizations) while balancing an ambitious roadmap that includes agentic authoring and semantic model integration.
What We Look For
  • Frontend Expertise: 5+ years of hands-on experience in web frontend development, with a strong preference for React-based applications and modern state management (e.g., MobX).
  • Management Experience: 2+ years leading and managing high-performing engineering teams, ideally in a fast-paced product environment.
  • Visualization Passion: A deep interest in data visualization, charting libraries (e.g., D3.js, Vega-Lite), or UX for complex data tools.
  • Efficiency Driver: Proven ability to drive technical initiatives that improve team productivity, such as optimizing CI/CD runtimes or streamlining visualization frameworks.
  • Talent Magnet: A strong track record of attracting, hiring, and retaining top engineering talent, including the ability to mentor engineers at various levels.
  • Collaborative Leader: Experience working with cross-functional stakeholders including Product Management, Design, and AI Research teams to deliver agentic product experiences.
  • Adaptability: Resilience in a rapidly evolving tech environment, with the ability to pivot priorities based on customer feedback and emerging AI capabilities.

Apply