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Entry Level Power Bi Developer Jobs in Seattle, WA

Data Engineer, Amazon Fuse

Seattle, WA · On-site

$130K - $156K/yr

... BI Engineers to build new data pipelines and datasets that optimize for business impact. We are ... that power AI-driven products and proactively identifying opportunities to embed AI into data ...

Business Intelligence Engineer

Bellevue, WA · On-site

$57.25 - $74.25/hr

... Power BI, Tableau or equivalent. • Ability to design and implement repeatable dashboards, KPI/KRI views, and drill-down reports for leadership and ROC. • The bulk of the work is project-like and ...

Data Engineer, Amazon Fuse

Seattle, WA · On-site

$130K - $156K/yr

... BI Engineers to build new data pipelines and datasets that optimize for business impact. We are ... that power AI-driven products and proactively identifying opportunities to embed AI into data ...

UX/UI Designer

Redmond, WA · On-site

$60K - $90K/yr

... for Power BI reports, web applications, mobile apps, and low-code platforms using modern design principles and AI-enhanced tools. * Collaborate with cross-functional teams including engineers ...

UX/UI Designer

Redmond, WA · On-site

$60K - $90K/yr

... for Power BI reports, web applications, mobile apps, and low-code platforms using modern design principles and AI-enhanced tools. * Collaborate with cross-functional teams including engineers ...

Our solution consolidated these into just five dynamic Power BI reports, each customizable with ... Use tools such as GitHub Copilot to assist with query optimization and Azure DevOps MCP Server to ...

Showing results 41-60

Entry Level Power Bi Developer information

See Seattle, WA salary details

$33.6K

$114.1K

$274.8K

How much do entry level power bi developer jobs pay per year?

As of Aug 11, 2026, the average yearly pay for entry level power bi developer in Seattle, WA is $114,105.00, according to ZipRecruiter salary data. Most workers in this role earn between $72,300.00 and $120,600.00 per year, depending on experience, location, and employer.

What is the difference between Entry Level Power Bi Developer vs Data Analyst?

AspectEntry Level Power Bi DeveloperData Analyst
Required CredentialsBasic knowledge of Power BI, SQL, and data visualization toolsProficiency in Excel, SQL, and data analysis techniques
Work EnvironmentTypically in IT or Business Intelligence teams, focusing on dashboard developmentOften in business units, focusing on data interpretation and reporting
Employer & Industry UsageUsed across industries for reporting and dashboard creationUsed across industries for data interpretation and decision support
Search & Comparison IntentUnderstanding entry-level Power BI roles and skillsComparing Power BI development with general data analysis roles

The main difference is that Entry Level Power Bi Developers focus on creating dashboards and reports using Power BI, often with some SQL knowledge, while Data Analysts perform broader data interpretation and analysis, sometimes using Power BI as a tool. Both roles are essential in data-driven organizations but differ in scope and daily tasks.

What do entry level Power BI developers do?

As an Entry Level Power BI Developer, you will often start by supporting data analysts and senior developers with tasks like cleaning and preparing data, creating basic reports and dashboards, and updating existing Power BI solutions. You'll likely collaborate closely with business users to understand reporting requirements and help troubleshoot data visualization issues. Over time, you'll gain experience in automating data refreshes, integrating new data sources, and optimizing dashboards, all while learning best practices in data governance and visualization.

What is an entry level Power BI developer?

An Entry Level Power BI Developer is a professional who uses Microsoft Power BI to create data visualizations, dashboards, and reports to help organizations make data-driven decisions. They typically work with business analysts and data engineers to collect, transform, and analyze data from various sources. This role is ideal for individuals new to business intelligence and data analytics, usually requiring basic knowledge of Power BI, data modeling, and DAX (Data Analysis Expressions). Entry level developers often support senior team members and gain hands-on experience through real-world projects.

What skills and qualifications are needed to thrive as an entry level Power BI developer?

To thrive as an Entry Level Power BI Developer, you need a solid understanding of data analysis, data visualization, and basic SQL or database concepts, often supported by a degree in computer science, information systems, or related fields. Familiarity with Power BI, DAX (Data Analysis Expressions), and Microsoft Excel is typically required, and obtaining a Microsoft Power BI certification can be advantageous. Strong problem-solving skills, attention to detail, and effective communication help you interpret business requirements and present insights clearly. These skills ensure you can transform raw data into actionable reports, supporting informed decision-making within organizations.
What are the most commonly searched types of Power Bi Developer jobs in Seattle, WA? The most popular types of Power Bi Developer jobs in Seattle, WA are:
What are popular job titles related to Entry Level Power Bi Developer jobs in Seattle, WA? For Entry Level Power Bi Developer jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Entry Level Power Bi Developer jobs in Seattle, WA look for? The top searched job categories for Entry Level Power Bi Developer jobs in Seattle, WA are:
What cities near Seattle, WA are hiring for Entry Level Power Bi Developer jobs? Cities near Seattle, WA with the most Entry Level Power Bi Developer job openings:
Infographic showing various Entry Level Power Bi Developer job openings in Seattle, WA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 67% In-person, and 33% Remote job distribution, with an average salary of $114,105 per year, or $54.9 per hour.

Data Engineer, Amazon Fuse

Amazon

Seattle, WA • On-site

$130K - $156K/yr

Full-time

Re-posted 18 days ago


Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 7,079 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers


Job description

Are you interested in using AI and data to drive the next phase of Amazon's growth?
Amazon Fuse (https://www.amazonfuse.com/) helps third party subscription-based businesses better serve their customers by offering the selection, convenience and value customers have come to know and love from Amazon, including millions of Prime products and our full catalog of Prime Video.
The Fuse Data Analytics (DA) team is looking for a Data Engineer to influence Fuse's decisions and direction using data insights. The ideal candidate is data-curious and possesses a strong analytical mindset. They excel at communicating with stakeholders and turning ambiguity and conjecture into actionable recommendations

They find opportunities where data will lead to better outcomes and mobilize the DA team to meet them.
In this role, you will be a technical expert with growing scope and impact. You will work with Product Managers, Software Engineers, Finance and Marketing Managers, as well as fellow Data Engineers and BI Engineers to build new data pipelines and datasets that optimize for business impact. We are seeking someone who can thrive in a fast-paced, high-energy work environment where we add value incrementally and frequently

We value highly technical people who know their subject matter deeply and are willing to learn new areas. We look for individuals who think like owners to develop themselves, their colleagues, and their team.
You use AI tools (e.g., coding assistants, generative AI) to accelerate pipeline development, improve code quality, and automate repetitive data engineering tasks while building and maintaining data pipelines that power AI-driven products and proactively identifying opportunities to embed AI into data workflows such as data validation, transformation logic, and documentation.
Key job responsibilities
- Architect, develop, and maintain scalable data infrastructure and data pipelines, leveraging AI tools to accelerate development and improve code quality.
- Extract, transform, and load data from a variety of sources using SQL, scripting, and AWS big data technologies.
- Design and implement ETL pipelines and BI solutions, identifying opportunities to embed AI into data workflows such as data validation and transformation logic.
- Collaborate with business owners, SDEs, and BI Engineers to explore new data sources and deliver insights.
- Stay up to date with advancements in big data and AI technologies and contribute to pilot projects.
- Proactively identify and resolve data-related issues reducing operational load on the team, using AI-assisted automation where applicable.


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