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Data Engineer Internship Amazon Jobs in Arizona (NOW HIRING)

This is an exciting opportunity to join a new team in a huge growth area for Amazon. The Role We ... and engineer automated solutions using Python or VBA to eliminate recurring toil - Create and ...

This is an exciting opportunity to join a new team in a huge growth area for Amazon. The Role We ... and engineer automated solutions using Python or VBA to eliminate recurring toil - Create and ...

This is an exciting opportunity to join a new team in a huge growth area for Amazon. The Role We ... and engineer automated solutions using Python or VBA to eliminate recurring toil - Create and ...

This is an exciting opportunity to join a new team in a huge growth area for Amazon. The Role We ... and engineer automated solutions using Python or VBA to eliminate recurring toil - Create and ...

Operations is at the heart of Amazon's business. We are known for our speed, accuracy, and ... You will deliver this through the use of statistics and data analytics, structured problem solving ...

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Data Engineer Internship Amazon information

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How much do data engineer internship amazon jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for data engineer internship amazon in Arizona is $23.69, according to ZipRecruiter salary data. Most workers in this role earn between $19.28 and $26.88 per hour, depending on experience, location, and employer.

What does a data engineer intern do at Amazon?

A Data Engineer Intern at Amazon works on designing, building, and maintaining scalable data pipelines and systems to support business analytics and decision-making. Interns typically collaborate with experienced data engineers and other team members to process large datasets, ensure data quality, and optimize performance. They may also help automate data collection, transformation, and storage processes, gaining hands-on experience with Amazon's cloud technologies and big data tools. The internship offers an opportunity to develop technical skills in databases, programming, and data modeling in a real-world, fast-paced environment.

What are the key skills and qualifications needed to thrive as a data engineer intern at Amazon?

To thrive as a Data Engineer Intern at Amazon, you need a solid understanding of data structures, algorithms, and proficiency in programming languages such as Python, Java, or Scala, often supported by progress towards a degree in computer science or a related field. Familiarity with SQL, cloud platforms (especially AWS), and big data tools like Hadoop or Spark is typically required. Strong problem-solving skills, eagerness to learn, and effective communication help interns collaborate and adapt in a fast-paced environment. These skills and qualities are crucial to efficiently manage data pipelines, contribute to impactful projects, and succeed within Amazon’s data-driven culture.

What types of projects and technologies do data engineer interns at Amazon typically work with?

As a Data Engineer Intern at Amazon, you can expect to work on projects involving large-scale data pipelines, data warehousing, and analytics solutions. Interns often gain hands-on experience with Amazon Web Services (AWS) tools such as Redshift, S3, and Glue, as well as programming languages like Python and SQL. You'll collaborate closely with software engineers, data scientists, and business analysts to design and optimize data systems that support Amazon's business operations. This role provides a strong foundation in both the technical and collaborative aspects of data engineering, offering ample learning opportunities in a fast-paced, innovative environment.

What is the difference between Data Engineer Internship Amazon vs Data Analyst Internship Amazon?

AspectData Engineer Internship AmazonData Analyst Internship Amazon
Required SkillsSQL, Python, ETL, data modelingSQL, Excel, data visualization tools
Work EnvironmentData pipelines, backend systems, cloud platformsData reporting, dashboards, business insights
Industry UsageTech, e-commerce, cloud servicesBusiness, marketing, finance

Both internships are common in Amazon's data teams but focus on different aspects. Data Engineer Internships involve building and maintaining data infrastructure, while Data Analyst Internships focus on analyzing data to generate insights. Candidates should choose based on their technical skills and career interests.

What are popular job titles related to Data Engineer Internship Amazon jobs in Arizona?

For Data Engineer Internship Amazon jobs in Arizona, the most frequently searched job titles are:

What job categories do people searching Data Engineer Internship Amazon jobs in Arizona look for?

The top searched job categories for Data Engineer Internship Amazon jobs in Arizona are:

What cities in Arizona are hiring for Data Engineer Internship Amazon jobs?

Cities in Arizona with the most Data Engineer Internship Amazon job openings:

Supply Chain Manager I , Network Design, Planning & Engineering

Amazon

Tempe, AZ • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 16 days ago


Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 7,151 frontline employees who took The Breakroom Quiz

5th of 39 rated national retailers


Job description

Every day, millions of packages move through Amazon's transportation network - and this team is responsible for making sure they take the smartest, fastest, most cost-effective path to the customer's door.
Network Design Planning & Engineering sits at the center of Amazon's North American transportation strategy. We plan how packages flow from fulfillment centers to final delivery destinations, balancing speed, cost, on-time accuracy, and environmental impact. Our work directly shapes the delivery experience for hundreds of millions of customers.
We're looking for a Supply Chain Manager I who is excited about turning complex data into clear, actionable insights. In this role, you'll build the network design plans along with the key metrics to drive improvements and detect opportunities that help our team and partners see what's happening across the network - aiding better decision making. You'll work alongside experienced engineers, scientists, and product managers who will support your growth while giving you real ownership of meaningful work from day one.
Key job responsibilities
- Partner with teammates across product, science, and engineering to understand what questions the business needs answered - then design and deliver the data solutions to answer them.
- Build detailed network design recommendations along with maintaining interactive AI dashboards/visualizations that track how the transportation network is performing.
- Conduct deep-dive analyses into operational performance, uncover root causes of issues, and recommend improvements backed by data.
- Proactively look for ways to make existing reports and dashboards faster, more accurate, and easier to use.
- Analyze historical trends and key lessons learned from previous experiences to surface insights that support planning and forecasting decisions.
About the team
The Network Design, Planning and Engineering (NDPE) team supports the connectivity and flow of Amazon's transportation network through data-driven insights. We are a collaborative group of supply chain managers, data scientists and data engineers who value curiosity, knowledge sharing, and building reliable, scalable solutions. Our work directly impacts how millions of packages move through Amazon's outbound network every day. We foster a learning-focused environment where team members grow through mentorship, technical reviews, and exposure to complex, large-scale data challenges.
BASIC QUALIFICATIONS
- 2+ years of program or project management experience
- 1+ years of supply chain experience
- Knowledge of Excel at an intermediate level (e.g., pivot tables & charts, multiple criteria lookups, nested logical/IF formulas, data cleansing, array formulas, etc.)
PREFERRED QUALIFICATIONS
- Experience in requirement gathering and ability to write clear and detailed requirement document
- Experience in supply chain
- Experience with SQL
- Experience with Six Sigma tools and Lean techniques
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, AZ, Tempe - 64,200.00 - 96,200.00 USD annually
USA, WA, Bellevue - 80,200.00 - 100,600.00 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, computer and electronic product manufacturing and software development

Company size

10,000+ Employees

Headquarters location

Seattle, WA, US