Which cities near Bellevue, WA have the most data visualization job openings?

The cities near Bellevue, WA that boast the highest number of data visualization jobs are: Kent Portland Seattle Gresham Everett Renton

Which cities near Bellevue, WA have the most job openings?

The 10 cities near Bellevue, WA that have the most job openings are: Kent Salem Vancouver Tacoma Portland Seattle Gresham Everett Hillsboro Renton

What are the most popular job searches in Bellevue, WA?

The 10 most popular job searches in Bellevue, WA are: government amazon work from home nanny server executive assistant marketing hr summer barista

What are the highest-paying jobs in Bellevue, WA?

The highest-paying jobs are: team owner operator ( from $ 78,540 to $ 362,400 year ) medical director ( from $ 185,828 to $ 249,700 year ) engineering director ( from $ 172,500 to $ 248,040 year ) product director ( from $ 175,000 to $ 239,775 year ) product management ( from $ 169,550 to $ 236,700 year ) machine learning engineer ( from $ 140,000 to $ 229,250 year ) data science ( from $ 108,000 to $ 228,325 year ) database engineer ( from $ 108,500 to $ 228,314 year ) technical program manager ( from $ 141,600 to $ 226,380 year ) facilities engineer ( from $ 82,150 to $ 225,200 year )

Which cities in the United States of America offer the highest salaries for data visualization jobs?

The top 10 cities are: Santa Clara, CA ( from $ 98,000 to $ 200,000 year ) Chicago, IL ( from $ 99,238 to $ 192,500 year ) Sunnyvale, CA ( from $ 71,175 to $ 187,500 year ) Seattle, WA ( from $ 90,000 to $ 179,375 year ) San Jose, CA ( from $ 92,500 to $ 175,475 year ) San Mateo, CA ( from $ 92,500 to $ 175,350 year ) San Francisco, CA ( from $ 90,063 to $ 175,000 year ) Phoenix, AZ ( from $ 101,350 to $ 173,740 year ) Daly City, CA ( from $ 79,450 to $ 171,500 year ) New York, NY ( from $ 80,916 to $ 165,675 year )

Data visualization Jobs in Bellevue, WA

Create a job alert for this search

Data visualization • bellevue wa

Last updated: 18 hours ago

Data Architect - Revenue Data Platform

Sumeru SolutionsBellevue, WA, United States

Full-time

Quick Apply

We are looking for someone who can architect a scalable revenue data platform to support enterprise-wide data needs and deliver actionable insights across Client business units.Our current tech sta... Show more

Data Engineer

Vibotek LLCWA, Seattle, US

Full-time

Ingest and process data from Salesforce (Investments), Dynamics 365 & Coupa (Finance), Workday (HR), Concur (Operations), and external program/partner data (e.Build and maintain pipelines in Databr... Show more

Data Analyst

Sunrise SystemsBellevue, Washington, United States

Full-time

Quick Apply

Job Title: Data Analyst - IT/Data Analyst IV.Duration: 06 months of contract on W2.Data Quality Improvement: Define standards for data collection, consistency, and automation; improve accuracy and ... Show more

Data Scientist

PossibleSeattle, WA, US

Full-time

Since our founding, we have redefined how people approach small-dollar loans—delivering over $1 billion in funding to more than 1.At Possible, we’re building a new type of consumer finance company;... Show more

Lead Data Engineer

Gates FoundationSeattle, WA

Full-time

We are the largest nonprofit fighting poverty, disease, and inequity around the world.Founded on a simple premise: people everywhere, regardless of identity or circumstances, should have the chance... Show more

AI & Data - Data Engineer

Central Business Solutions, IncSeattle, WA, United States

Full-time

Data Engineer

Blue Orange DigitalSeattle, Washington, .US

Full-time

Quick Apply

Blue Orange Digital is a data and AI consulting firm that helps companies turn complex data into real business outcomes.We partner with organizations across industries to design and deploy scalable... Show more

Firmwide Architectural Visualization Specialist

HKSSeattle, US

Full-time

Provides guidance and support for the implementation of firmwide architectural visualization technologies to support continuous process improvement, promote innovation and increase the quality of w... Show more

Disney Entertainment and ESPN Product & TechnologySeattle, Washington, United States

Full-time

Disney Entertainment and ESPN Product & Technology.Technology is at the heart of Disney’s past, present, and future.Disney Entertainment and ESPN Product & Technology is a global organization of en... Show more

Principal Data Scientist

MaximusSeattle, WA, US

Full-time

Essential Duties and Responsibilities: - Make deep dives into the data, pulling out objective insights for business leaders.Initiate, craft, and lead advanced analyses of operational data.Pr... Show more

Data Engineer II

PDS Inc, LLCSeattle, WA, US

Full-time

Quick Apply

We are looking for a Data Engineer to join the Infrastructure Automation team.Our success depends on our world-class network and hardware infrastructure; were handling massive scale and rapid... Show more

Sr. Data Scientist

Launch ConsultingBellevue, WA, US

Permanent

Quick Apply

Be a part of our success story.At Launch, we offer talented and driven professionals the opportunity to deliver high-impact work in a dynamic, fast-growing environment.We invest in our people throu... Show more

Data Architect - Revenue Data Platform

Sumeru SolutionsBellevue, WA, United States

18 hours ago

Job type

Full-time

Quick Apply

Job description

We are looking for someone who can architect a scalable revenue data platform to support enterprise-wide data needs and deliver actionable insights across Client business units. Our current tech stack includes Azure, Snowflake, Databricks, Claude, and GitLab, with AWS also available. Furthermore, having knowledge of finance domain and platforms like SAP and Oracle is an added advantage.
The ideal candidate will bring a forward-thinking approach-able to translate vision into architecture and design, develop proof of concepts, incorporate cost considerations, and deliver incremental value aligned to specific business units. This is a critical role that requires strong ownership, a bias for action, and the ability to balance strategic thinking with hands-on collaboration at the engineering level.

Role Overview

We are seeking a highly skilled Data Architect to lead the design and evolution of our Revenue Data Platform (RDMP). This role will be instrumental in architecting a scalable, enterprise-grade data platform that enables unified data access and delivers actionable insights across Client business units.
The ideal candidate will bring a forward-looking mindset, translating strategic vision into practical architecture, while driving innovation, cost efficiency, and measurable business outcomes.

Key Responsibilities

Define and architect a scalable, enterprise-wide Revenue Data Platform to support diverse business needs Translate business vision into robust data architecture, design patterns, and implementation roadmap Develop proof of concepts (POCs) to validate architectural decisions and accelerate adoption
Design solutions leveraging modern data platforms including Azure, Snowflake, Databricks, and AWS Collaborate closely with engineering teams to ensure hands-on alignment and execution Incorporate cost optimization strategies into architecture and platform design Deliver incremental value aligned to specific business units through phased implementation Ensure data solutions enable high-quality, secure, and governed data access across the enterprise

Required Qualifications

Proven experience as a Data Architect designing and implementing large-scale data platforms Strong expertise in cloud data ecosystems (Azure preferred; AWS experience is a plus) Hands-on experience with Snowflake,
Databricks, and modern data engineering practices
Experience working with CI/CD tools such as GitLab Ability to bridge strategic architecture and hands-on engineering execution
Strong understanding of data modeling, data governance, and data platform scalability Preferred Qualifications

Experience in Finance/Revenue domains Familiarity with enterprise platforms such as SAP and Oracle Exposure to AI/LLM tools (e.g., Claude) and their integration into data platforms