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Amazon Undergraduate Jobs (NOW HIRING)

... Amazon Web Services (AWS) presence. Key Duties and Responsibilities AWS Infrastructure ... A 2 or 4-year undergraduate degree from an accredited college or university. Preferred ...

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Amazon Undergraduate information

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$43.5K

$54.5K

$70.5K

How much do amazon undergraduate jobs pay per year?

As of Sep 1, 2026, the average yearly pay for amazon undergraduate in the United States is $54,532.00, according to ZipRecruiter salary data. Most workers in this role earn between $49,000.00 and $58,500.00 per year, depending on experience, location, and employer.

What are Amazon undergraduate roles?

Amazon Undergraduate roles are entry-level jobs and internships designed specifically for current college students or recent graduates. These positions give undergraduates hands-on experience across various departments such as software development, operations, marketing, finance, and more. Amazon offers structured programs with mentorship, training, and networking opportunities to help students launch their careers. Many successful interns and entry-level employees often transition into full-time roles within the company after graduation.

What types of projects can Amazon undergraduates expect to work on during their internship?

As an Amazon undergraduate intern, you can expect to work on impactful, real-world projects that directly contribute to your team’s goals. Projects often involve problem-solving, data analysis, or developing new features for Amazon’s services, depending on your area of study. Interns are typically paired with a mentor and collaborate closely with full-time employees, gaining valuable exposure to Amazon’s fast-paced, innovative environment. These projects are designed to challenge you, help you build technical and professional skills, and sometimes even continue after your internship ends if they show strong potential.

What are the key skills and qualifications needed to thrive as an Amazon undergraduate, and why are they important?

To thrive as an Amazon Undergraduate, you generally need strong analytical skills, problem-solving abilities, and a solid academic background in your field of study, often demonstrated through enrollment in a relevant bachelor's program. Familiarity with data analysis tools, Microsoft Office Suite, and sometimes programming languages or project management systems is beneficial. Exceptional communication, teamwork, and adaptability help candidates stand out in Amazon’s fast-paced, collaborative environment. These competencies enable undergraduates to contribute effectively to projects, adapt quickly to change, and demonstrate potential for long-term growth within the company.

What is the difference between Amazon Undergraduate vs Amazon Intern?

AspectAmazon UndergraduateAmazon Intern
Required CredentialsTypically enrolled in a relevant undergraduate programEnrolled in a related undergraduate or graduate program
Work EnvironmentOn-campus or remote, project-based, collaborativeOn-site or remote, hands-on experience, mentorship
Employer & Industry UsageEntry-level, university recruitment, early careerShort-term, summer or semester, professional development

Amazon Undergraduates are usually students enrolled in relevant programs seeking entry-level roles or internships, often during their studies. Amazon Interns are typically students participating in short-term, project-focused internships designed to provide practical experience. While both roles target students, Undergraduates often refer to ongoing engagement, whereas Interns are usually temporary positions for skill development.

More about Amazon Undergraduate jobs
Infographic showing various Amazon Undergraduate job openings in the United States as of August 2026, with employment types broken down into 1% Internship, 74% Full Time, 24% Part Time, and 1% Temporary. Highlights an 85% Physical, 2% Hybrid, and 13% Remote job distribution, with an average salary of $54,532 per year, or $26.2 per hour.

Professional Track Faculty Positions in Statistics and Data Sciences (Fall 2026)

The University of Texas at Austin

Austin, TX • On-site

Full-time

Re-posted 23 days ago


University Of Texas at Austin rating

8.3

Company rating: 8.3 out of 10

Based on 64 frontline employees who took The Breakroom Quiz

127th of 627 rated colleges and universities


Job description

Description
The Department of Statistics and Data Sciences (SDS) at The University of Texas at Austin invites applications for the Director of the MS Program in Statistics, with appointment at the rank of Associate or Full Professor of Instruction. SDS is looking forward to an expansion of its MS program through an integrated 4+1 BS/MS sequence for our rapidly growing Statistics and Data Science major. The Director of the MS Program will help lead this initiative alongside the chair of the department, shaping curriculum, advising, admissions, and the long-term academic vision of the program, while also teaching classes at the undergraduate and MS level. The anticipated start date for the position is either January 1, 2027 or August 16, 2027.
SDS is the newest and fastest-growing department in the College of Natural Sciences and will, in August 2026, join UT's new School of Computing, a major university initiative to boost investment in computer, data, and information sciences. Our programs include an undergraduate major and minor in Statistics and Data Science, an M.S. and Ph.D. in Statistics, and an online M.S. in Data Science.
The department is internationally recognized for excellence in both research and education, with 25 tenured/tenure-track and 10 professional-track faculty. While Professors of Instruction are professional-track faculty and ineligible for tenure, we hire with the hope that all new faculty will build lasting careers as part of our community. The department is committed to investing in the professional growth of all faculty. More information about the department is available here.
Austin is famous for music, media, and the outdoors; it is also a major technology center, home to companies such as 3M, Amazon, AMD, Apple, Applied Materials, Dell, Google, IBM, Meta, Samsung, and more.
Qualifications
Candidates must hold a doctoral degree in statistics, biostatistics, or a related discipline. Successful candidates will likely have at least 5 years of university teaching experience in statistics and data science, including experience with both introductory classes and classes at the advanced undergraduate or master's level.
Application Instructions
Applicants should submit a cover letter, a CV, and a teaching statement. As part of the application process, candidates will be asked to provide the names and email addresses of three individuals who are willing to provide letters of support. A link to a professional website may be provided on the candidate's CV.
Applications will be reviewed until the position is filled, with all applications received by August 17, 2026 receiving full consideration. Assuming the position continues to remain open, applications received after August 17, but before November 16, 2026, will continue to be considered.
The department is committed to respecting the confidentiality of the search process.
A background check will be conducted on applicants selected for the positions.
Questions about the search process should be directed to Professor Jay Bartroff, SDS Professional-Track Faculty Search Committee Chair and SDS Associate Chair. Please send inquiries to statjobs@austin.utexas.edu instead of emailing the search committee chair directly.
Equal Employment Opportunity Statement
The University of Texas at Austin, as an equal opportunity/affirmative action employer, complies with all applicable federal and state laws regarding nondiscrimination and affirmative action. The University is committed to a policy of equal opportunity for all persons and does not discriminate on the basis of race, color, national origin, age, marital status, sex, sexual orientation, gender identity, gender expression, disability, religion, or veteran status in employment, educational programs and activities, and admissions.

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