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Internship Data Jobs in Seattle, WA (NOW HIRING)

Amazon

Data Engineer II, Intl. Seller Services

Seattle, WA · On-site

$130K - $156K/yr

... internship data engineering experience PREFERRED QUALIFICATIONS - Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions ...

CyberProof

Associate Data Engineer

Seattle, WA · On-site

$130K - $156K/yr

... internships, bootcamps, or self-directed project work. • Must be located in the United States. • 1+ years of hands-on data engineering or software engineering experience, including internships ...

Conversica, Inc

Data Scientist

Seattle, WA · On-site

... for data science interns in the areas of natural language processing, natural language generation, and deep learning. Recognized by Gartner, INC, Harvard Business Review, etc, we are passionate ...

Amazon

2027 Tax Intern (Summer Internship)

Seattle, WA · On-site

You must have strong analytical skills, the ability to dive deep into unfamiliar data, be savvy ... internship from May through September - Currently enrolled in a bachelor's or dual degree/sub ...

Stoke Space

Spring 2027 Internship - Software

Kent, WA · On-site

$40/hr

Software internships are available across the company within different teams such as Boltline, Vehicle Software, and Data. Please note: these roles require you to work onsite at our Kent location.

1 point system

Ex Amazon Data Engineer

Bellevue, WA · On-site

$129K - $155K/yr

Experience: 3+ years of data engineering experience, including data modeling, pipeline development, and data warehouse design, along with 3+ years of non-internship professional software development ...

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All JobsData JobsInternship Data JobsInternship Data Jobs in Seattle, WA

Internship Data information

See Seattle, WA salary details

$13

$25

$47

How much do internship data jobs pay per hour?

As of Jul 30, 2026, the average hourly pay for internship data 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 types of projects do data interns typically work on during their internship?

Data interns often support teams by working on real-world projects such as data cleaning, organizing large datasets, and assisting in data analysis using tools like Excel, Python, or SQL. They may also help visualize data findings, prepare reports, and participate in cross-functional meetings to understand business needs. These tasks provide valuable exposure to the data lifecycle and help interns develop practical technical and communication skills vital for a future career in data roles.

What are the key skills and qualifications needed to thrive as a Data Intern, and why are they important?

To thrive as a Data Intern, you generally need a background in statistics, mathematics, or computer science, along with proficiency in data analysis and problem-solving. Familiarity with tools such as Excel, SQL, Python, and data visualization platforms like Tableau is often required. Strong attention to detail, eagerness to learn, and effective communication skills help interns collaborate with teams and present findings clearly. These skills are essential for accurately analyzing data, contributing to projects, and gaining valuable experience in a real-world data environment.

What are internship data roles?

Internship data roles are entry-level positions designed for students or recent graduates to gain practical experience in data-related fields. These internships typically involve tasks such as data collection, cleaning, analysis, and visualization under the supervision of experienced data professionals. Interns may work with databases, statistical software, or programming languages like Python or R, and assist in projects that support business decision-making. The goal is to help interns build foundational skills and industry knowledge to prepare them for full-time data careers.

What is the difference between Internship Data vs Data Analyst?

AspectInternship DataData Analyst
Required CredentialsTypically pursuing or recent graduate, some technical skillsBachelor's degree in related field, some roles prefer certifications
Work EnvironmentTemporary, learning-focused, entry-level tasksFull-time, ongoing projects, more responsibility
Employer & Industry UsageInternships offered by companies for trainingFull-time roles in various industries like finance, healthcare, tech

Internship Data positions are designed for students or recent graduates gaining initial experience, often with limited responsibilities. Data Analysts are full-time professionals responsible for analyzing data, creating reports, and supporting decision-making. The internship serves as a stepping stone toward a full Data Analyst role, which requires more skills and experience.

What are the most commonly searched types of Data jobs in Seattle, WA? The most popular types of Data jobs in Seattle, WA are:
What cities near Seattle, WA are hiring for Internship Data jobs? Cities near Seattle, WA with the most Internship Data job openings:
Internship Data jobs near you
Infographic showing various Internship Data job openings in Seattle, WA as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, 1% Temporary, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $53,270 per year, or $25.6 per hour.

Data Engineer II, Intl. Seller Services

Amazon

Seattle, WA • On-site

$130K - $156K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 16 days ago

Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 7,023 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers

Job description

Come be part of Amazon's International Seller Services (ISS) Central Analytics Data Engineering team, where we tackle modern data challenges by combining traditional engineering practices with transformative analytics and Generative AI.
ISS is seeking a highly motivated, experienced Data Engineer to help design and build the next generation of Data and ML infrastructure to power GenAI applications.
We are a team of Data Engineers working closely with Applied Scientists, Data Scientists, and Economists-turning machine learning, deep learning, and AI research into scalable products that delight our customers worldwide.
ISS is seeking a highly motivated, experienced Data Engineer to help design and build the next generation of Data and ML infrastructure to power GenAI applications.
Key job responsibilities
As a Data Engineer, you will provide technical leadership, lead data engineering initiatives and build end-to-end analytical solutions that are highly available, scalable, stable, secure, and cost-effective.
You are passionate about working with huge datasets and have experience with the organization and curation of data for analytics. You have a strategic and long term view on architecting advanced data eco systems.
You are experienced in building efficient and scalable data services and have the ability to integrate data systems with AWS tools and services to support a variety of customer use cases/applications.
Design, implement and operate large-scale, high-volume, high-performance data structures for analytics and data science.
Implement data ingestion routines using best practices in data modeling, ETL/ELT processes by leveraging AWS technologies and big data tools.
Gather business and functional requirements and translate these requirements into robust, scalable, operable solutions with a flexible and adaptable data architecture.
Collaborate with engineers to help adopt best practices in data system creation, data integrity, test design, analysis, validation, and documentation
Identify opportunities in existing data solutions for improvements
BASIC QUALIFICATIONS
- Bachelor's degree or foreign equivalent in Computer Science, Engineering, Information Systems, Mathematics, or a related field
- 3+ years of data engineering experience
- Experience with data modeling, warehousing and building ETL pipelines
- 1+ years developing and operating large-scale data structures for business intelligence analytics, including each of: ETL/ELT processes, OLAP technologies, data modeling, SQL, and Oracle
- 3+ years of non internship data engineering experience
PREFERRED QUALIFICATIONS
- Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
- Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, WA, Seattle - 132,100.00 - 178,800.00 USD annually

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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

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