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Data Analytics Fall Internship Jobs in Seattle, WA

... interns in the areas of natural language processing, natural language generation, and deep learning ... Your scope will reach from text classification problems over big data analytics to A/B testing and ...

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Data Analytics Fall Internship information

See Seattle, WA salary details

$13

$25

$47

How much do data analytics fall internship jobs pay per hour?

As of Aug 18, 2026, the average hourly pay for data analytics fall internship in Seattle, WA is $25.61, according to ZipRecruiter salary data. Most workers in this role earn between $19.71 and $27.88 per hour, depending on experience, location, and employer.

What is a data analytics fall internship?

A Data Analytics Fall Internship is a short-term position, typically during the fall semester, where interns gain hands-on experience analyzing data to provide insights for a company. Interns work with tools like Excel, SQL, Python, or Tableau to clean, process, and visualize data. They may assist in reporting, dashboard creation, or identifying trends to support business decisions. This role helps build practical skills and industry experience in data analysis.

What types of projects or tasks are typically assigned to data analytics fall interns?

As a Data Analytics Fall Intern, you can expect to work on real data projects such as cleaning large datasets, creating dashboards, generating reports, and performing exploratory data analysis under the guidance of experienced analysts. You might also assist in identifying trends, building simple predictive models, and preparing visualizations for presentations to stakeholders. Interns often work closely with team members from various departments, providing support for ongoing initiatives and contributing fresh perspectives. These hands-on tasks are designed to build your technical skills and give you direct experience solving business problems with data.

What are the key skills and qualifications needed to thrive in the data analytics fall internship position, and why are they important?

To thrive as a Data Analytics Fall Intern, you need a solid foundation in statistics, data analysis, and proficiency with tools like Excel, Python, or R, often supported by coursework in computer science, mathematics, or related fields. Familiarity with data visualization software such as Tableau or Power BI, as well as basic knowledge of SQL, is commonly expected. Strong communication skills, attention to detail, and the ability to work collaboratively in a team make candidates stand out. These skills are crucial for analyzing real-world data, delivering actionable insights, and contributing effectively to projects in a professional environment.

What cities near Seattle, WA are hiring for Data Analytics Fall Internship jobs?

Cities near Seattle, WA with the most Data Analytics Fall Internship job openings:

Infographic showing various Data Analytics Fall Internship job openings in Seattle, WA as of August 2026, with employment types broken down into 33% Internship, 34% Full Time, and 33% Part Time. Highlights an 67% In-person, and 33% Remote job distribution, with an average salary of $53,270 per year, or $25.6 per hour.

Software Development Engineer, Open Data Analytics - Engines

Amazon Web Services (AWS)

Redmond, WA • On-site

$128K - $154K/yr

Full-time

Posted 7 days ago


Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 7,096 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers


Job description

Job Summary:
Amazon Web Services (AWS) is looking for exceptional engineers to join their Open Data Analytics organization. The role involves enhancing the performance and scalability of cloud Big Data processing platforms and collaborating with open-source communities to drive innovations in query engines.
Responsibilities:
• Develop and optimize core components of query engines and open table formats (Iceberg, Hudi, Delta) to enhance performance, scalability, and reliability.
• Design and implement innovative solutions and algorithms to improve feature capabilities, stability, and security in table format integrations with query engines.
• Collaborate with the open-source community, contributing to discussions, driving improvements, and integrating upstream changes.
• Ensure data consistency and durability while achieving breakthrough performance and scalability for large-scale data lake workloads.
• Improve the organizations automation and testing capabilities.
• Manage complex deliverables project and research projects with deadlines.
• Mentor and train other team members on design techniques and coding best practices.
• Be a point of contact for challenging customer issues related to data lake workloads and query engine.
Qualifications:
Required:
• 5+ years of non-internship professional software development experience
• 5+ years of programming with at least one software programming language experience
• 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
• Experience as a mentor, tech lead or leading an engineering team
Preferred:
• 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
• Bachelor's degree in computer science or equivalent
Company:
Launched in 2006, Amazon Web Services (AWS) began exposing key infrastructure services to businesses in the form of web services -- now widely known as cloud computing. Founded in 2002, the company is headquartered in Seattle, USA, with a team of 10001+ employees. The company is currently Late Stage.

What Amazon employees say

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Hours and flexibility

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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