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Data Engineer Internship - 2027 (US)

Amazon

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This role on the market

8,146 open data roles across 765 companies are on ApplySarthi right now, most of them in Bengaluru (439), Hyderabad (310), Mumbai (170).

What data roles keep asking for: Python (32%), SQL (31%), AWS (30%), Machine learning (18%), Spark (13%) — counted across their open postings here.

AWS jobs · Data warehousing jobs · ETL jobs · Hadoop jobs

Amazon has 15,639 open roles listed here.

Counted across 14 company job boards, updated as roles open and close.

Preparing for this interview

Interviews for data roles keep coming back to Python, SQL, AWS, Machine learning. Practise those questions before you sit with Amazon.

Questions you are likely to be asked

  1. Why do you want to join Amazon?
  2. What is your experience with AWS? Tell me one thing you learned the hard way.
  3. Walk me through a model you built, from the data to how it was used.
  4. How did you know your model was actually good, and not just good on your test set?
  5. Tell me about a time the data was messy or wrong. What did you do?

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Shape what comes next | Discover careers in TechAt Amazon, our tech isn't just a tool, it's your playground. Our engineers work on scalable systems, cloud services, and customer-facing products that operate Basic qualifications: - Are 18 years of age or older - Work 40 hours/week minimum and commit to 12 week internship maximum - Are enrolled in a academic program that is physically located in the United States - Experience with data transformation - Experience with database, data warehouse or data lake solutions - Experience with SQL - Experience with one or more scripting language (e.g., Python, KornShell, Scala) - Currently enrolled in or will receive a Bachelor’s Degree, Master's Degree, or advanced technical degree in Computer Science, Computer Engineering, Information Management, Information Systems, or an equivalent technical discipline with an expected conferral date between October 2027 – December 2030. Preferred: - Experience with AWS - Experience building data pipelines or automated ETL processes - Knowledge of writing and optimizing SQL queries in a business environment with large-scale, complex datasets - Experience with big data processing technology (e.g., Hadoop or ApacheSpark), data warehouse technical architecture, infrastructure components, ETL, and reporting/analytic tools and environments - Experience with data visualization software (e.g., AWS QuickSight or Tableau) or open-source project - Previous technical internship(s), if applicable - Can articulate the basic differences between datatypes (e.g. JSON/NoSQL, relational) - Understand the basics of designing and implementing a data schema (e.g., normalization, relational model vs dimensional model) 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 starting pay for this position is listed below. Starting Day 1 of employment, Amazon offers EAP, Mental Health Support, Medical Advice Line, 401(k) matching. Learn more about our benefits at https://hiring.amazon.com/why-amazon/benefits . Seattle, WA, USA - 106,590.00 USD Annually

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Listed on amazon · posted 2026-09-18. ApplySarthi collects openings and links to application pages; the role is advertised by Amazon, not by us.