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Data Visualization Jobs in Seattle, 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

$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 · 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 ...

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 ...

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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Showing results 1-20

All JobsData Visualization JobsData Visualization Jobs in Seattle, WA

Data Visualization information

See Seattle, WA salary details

$61.5K

$124.6K

$183.8K

How much do data visualization jobs pay per year?

As of Jul 7, 2026, the average yearly pay for data visualization in Seattle, WA is $124,558.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,400.00 and $140,000.00 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.

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 Seattle, WA? The most popular types of Data Visualization jobs in Seattle, WA are:
What are popular job titles related to Data Visualization jobs in Seattle, WA? For Data Visualization jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Data Visualization jobs in Seattle, WA look for? The top searched job categories for Data Visualization jobs in Seattle, WA are:
What cities near Seattle, WA are hiring for Data Visualization jobs? Cities near Seattle, WA with the most Data Visualization job openings:
Data Visualization jobs near you
Infographic showing various Data Visualization job openings in Seattle, WA as of July 2026, with employment types broken down into 71% Full Time, and 29% Contract. Highlights an 86% In-person, and 14% Hybrid job distribution, with an average salary of $124,558 per year, or $59.9 per hour.

Data Visualization Engineer

Globenet Consulting Corp

Lynnwood, WA • On-site

$50 - $55/hr

Full-time

Posted 28 days ago

Job description

Benefits:
  • Competitive salary
  • Opportunity for advancement
  • Training & development

Role: Data Visualization Engineer BI Dashboards & Visual Analytics
Location: Morristown, NJ (Hybrid 3 days/week onsite)
Were seeking a Data Visualization Engineer (6+ years) who combines strong BI engineering with design intuition to deliver interactive dashboards and insight-driven visual narratives. Youll translate business questions into clear, trusted visuals, connect BI tools to modern data platforms, and optimize models/semantic layers to improve performance and adoption.
Key Responsibilities
  • Build interactive dashboards, reports, and visualizations that communicate KPIs, trends, and insights.
  • Translate business needs into effective visual stories, measures, and calculated metrics.
  • Select the right visualization patterns, layouts, and interactions for different audiences.
  • Connect BI tools to enterprise sources (cloud warehouses, relational DBs, APIs, files).
  • Design and optimize semantic layers/data models (star/snowflake, relationships, aggregations).
  • Ensure strong UX and accessibility (WCAG): hierarchy, color, typography, and usability.
  • Maintain visualization standards, templates, and style guides for consistency.
  • Improve performance through query tuning, caching, incremental refresh, and efficient modeling.
  • Partner with data engineers to ensure data quality, reliability, and documentation.
  • Enable self-service analytics via training, documentation, and reusable templates.
  • Perform peer reviews and provide technical guidance within the BI environment.
Required Qualifications
  • 6+ years in data visualization/BI engineering (or related).
  • Expert in Power BI, Tableau, Looker, or Qlik Sense.
  • Strong SQL for large-scale querying and optimization.
  • Strong BI modeling knowledge: semantic modeling, star/snowflake schemas, measures, aggregations.
  • Experience integrating BI tools with Snowflake, Databricks, BigQuery, Azure Synapse, or Redshift.
  • Strong understanding of visualization principles, UX, and accessibility standards.
  • Proven delivery of polished, production-ready dashboards.
  • Ability to work independently and manage multiple deliverables.
Preferred
  • Multiple BI tools; Python/R for data prep; Git/CI/CD for BI.
  • Governance/catalog exposure; experience in regulated industries.
  • Relevant BI or cloud certifications.
Ready to make an impact? Apply now and join us on our journey!

Flexible work from home options available.