Data Engineer Internships
Data engineer internships give university students, recent graduates, and early-career switchers hands-on project experience building real data pipelines, mentorship from working engineers, and, at many employers, a path toward a full-time offer. Openings are concentrated in Food & Beverage, Technology & Software, and Insurance, with TikTok, Tesla, and ByteDance among the employers posting roles now.
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Showing 5 of 92+ Data Engineer Internships
DESCRIPTION
At 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 at global scale. This is an environment where you learn by building. Whether you're creating cloud-native solutions, optimizing machine learning models, or building products that drive experiences for millions of customers around the globe, your work reaches the world, fast. You'll take ownership early, collaborate across teams and disciplines, and grow your skills as you tackle new problems. There's no single path forward here, with a chance to explore different directions and shape your journey as you go. This is where ambition meets opportunity and, where the impact of what you build helps define what comes next, for customers and for you.
What's in it for you?
An internship at Amazon means real responsibility from day one. You'll build, test, and learn alongside people who want to see you succeed, while making an impact that reaches far beyond campus.
Amazon internships across all seasons are full-time positions, and interns should expect to work in office, Monday-Friday, up to 40 hours per week typically between 8am-5pm. Specific team norms around working hours will be communicated by your manager. Interns should not have conflicts such as classes or other employment during the Amazon work-day. Applicants should have a minimum of one quarter/semester/trimester remaining in their studies after their internship concludes.
By applying to this position, your application will be considered for all Data Engineer roles at all locations we hire for in the United States.
You will be able to provide your preference of location and start date during the application process but, we cannot guarantee that we can meet your selection based on several factors including but not limited to the availability and business needs of this role. Finalization on the location and start dates available will be provided to you at the time of job offer.
Start dates for our internships in this posting include the following periods:
1. Winter (Starts January/February 2027)
2. Summer (Starts May/June 2027)
3. Fall (Starts August/September 2027)
Do you love building data pipelines? Are you excited by the opportunity to design tools and infrastructure needed to analyze large volumes of data? Do you want to help solve big data warehousing problems, and partner with stakeholders to understand how to best design and implement cutting edge data solutions that provide answers to key business questions? Do you want to be a part of a fast-paced environment and contribute to one of the most visited sites on the Internet?
If this describes you, consider joining us as an as Amazon is looking for a data engineer intern to join one our many lines of business. Amazon interns have the opportunity to work alongside the industry’s brightest engineers who innovate every day on behalf of our customers. You will be matched to a manager and a mentor. You will have the opportunity to impact the evolution of Amazon technology as well as lead mission critical projects early in your career. Your work will contribute to solving some of the most complex technical challenges in the company.
Key job responsibilities
As a Data Engineer intern, you will/may:
- Design, implement, and automate deployment of our distributed system for collecting and processing log events from multiple sources.
- Design data schema and operate internal data warehouses and SQL/NoSQL database systems.
- Own the design, development, and maintenance of ongoing metrics, reports, analyses, and dashboards that engineers, analysts, and data scientists use to drive key business decisions.
- Monitor and troubleshoot operational or data issues in the data pipelines.
- Drive architectural plans and implementation for future data storage, reporting, and analytic solutions.
- Develop code based automated data pipelines able to process millions of data points.
- Improve database and data warehouse performance by tuning inefficient queries.
- Work collaboratively with Business Analysts, Data Scientists, and other internal partners to identify opportunities/problems.
- Provide assistance with troubleshooting, researching the root cause, and thoroughly resolving defects in the event of a problem.
A day in the life
Our internship program provides hands-on learning and building experiences for students who are interested in a career in data engineering. In addition to working on an impactful project, you will have the opportunity to engage with Amazonians for both personal and professional development, expand your network, and participate in fun activities with other interns throughout the summer. No matter the location of your internship, we give you the tools to own your internship and learn in a real-world setting.
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 QUALIFICATIONS
- 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
DESCRIPTION
At 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 at global scale. This is an environment where you learn by building. Whether you're creating cloud-native solutions, optimizing machine learning models, or building products that drive experiences for millions of customers around the globe, your work reaches the world, fast. You'll take ownership early, collaborate across teams and disciplines, and grow your skills as you tackle new problems. There's no single path forward here, with a chance to explore different directions and shape your journey as you go. This is where ambition meets opportunity and, where the impact of what you build helps define what comes next, for customers and for you.
What's in it for you?
An internship at Amazon means real responsibility from day one. You'll build, test, and learn alongside people who want to see you succeed, while making an impact that reaches far beyond campus.
Amazon internships across all seasons are full-time positions, and interns should expect to work in office, Monday-Friday, up to 40 hours per week typically between 8am-5pm. Specific team norms around working hours will be communicated by your manager. Interns should not have conflicts such as classes or other employment during the Amazon work-day. Applicants should have a minimum of one quarter/semester/trimester remaining in their studies after their internship concludes.
By applying to this position, your application will be considered for all Data Engineer roles at all locations we hire for in the United States.
You will be able to provide your preference of location and start date during the application process but, we cannot guarantee that we can meet your selection based on several factors including but not limited to the availability and business needs of this role. Finalization on the location and start dates available will be provided to you at the time of job offer.
Start dates for our internships in this posting include the following periods:
1. Winter (Starts January/February 2027)
2. Summer (Starts May/June 2027)
3. Fall (Starts August/September 2027)
Do you love building data pipelines? Are you excited by the opportunity to design tools and infrastructure needed to analyze large volumes of data? Do you want to help solve big data warehousing problems, and partner with stakeholders to understand how to best design and implement cutting edge data solutions that provide answers to key business questions? Do you want to be a part of a fast-paced environment and contribute to one of the most visited sites on the Internet?
If this describes you, consider joining us as an as Amazon is looking for a data engineer intern to join one our many lines of business. Amazon interns have the opportunity to work alongside the industry’s brightest engineers who innovate every day on behalf of our customers. You will be matched to a manager and a mentor. You will have the opportunity to impact the evolution of Amazon technology as well as lead mission critical projects early in your career. Your work will contribute to solving some of the most complex technical challenges in the company.
Key job responsibilities
As a Data Engineer intern, you will/may:
- Design, implement, and automate deployment of our distributed system for collecting and processing log events from multiple sources.
- Design data schema and operate internal data warehouses and SQL/NoSQL database systems.
- Own the design, development, and maintenance of ongoing metrics, reports, analyses, and dashboards that engineers, analysts, and data scientists use to drive key business decisions.
- Monitor and troubleshoot operational or data issues in the data pipelines.
- Drive architectural plans and implementation for future data storage, reporting, and analytic solutions.
- Develop code based automated data pipelines able to process millions of data points.
- Improve database and data warehouse performance by tuning inefficient queries.
- Work collaboratively with Business Analysts, Data Scientists, and other internal partners to identify opportunities/problems.
- Provide assistance with troubleshooting, researching the root cause, and thoroughly resolving defects in the event of a problem.
A day in the life
Our internship program provides hands-on learning and building experiences for students who are interested in a career in data engineering. In addition to working on an impactful project, you will have the opportunity to engage with Amazonians for both personal and professional development, expand your network, and participate in fun activities with other interns throughout the summer. No matter the location of your internship, we give you the tools to own your internship and learn in a real-world setting.
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 QUALIFICATIONS
- 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
Data Engineer Internship Market
Who's Hiring
- TikTok15
- Tesla8
- ByteDance6
- New York Life4
- Meta3
Top Industries Hiring
- Food & Beverage
- Technology & Software
- Insurance
Tips for Your Data Engineer Internship Search
Apply earlier than the academic calendar suggests
Large employers in tech, finance, and consulting recruit summer data engineer interns the preceding fall, sometimes before October. Smaller companies and co-op programs post closer to start dates. Check for openings continuously rather than waiting until spring, or you will miss the first and often largest recruiting wave.
Build a portfolio that replaces work history
Hiring teams reviewing data engineer interns expect limited professional experience and look for proof in other forms. Two or three complete GitHub projects, each showing a full pipeline, the tools used, and clean documentation, give recruiters something concrete to evaluate. Coursework in SQL, Python, distributed systems, or cloud platforms strengthens the same signal.
Work your campus network and apply directly at the same time
Campus career fairs surface structured internship programs tied to your university, and career center staff often know which employers recruit from your school before roles go public. Applying directly to companies running smaller cohorts alongside campus activity reaches employers who don't recruit on campus at all, widening the pool you can realistically land in.
Practice the data engineer technical screen before you apply
Most data engineer intern screens include a coding round focused on data structures, algorithms, and SQL, expect to write and optimize queries, design basic schemas, and explain your reasoning out loud. Practice talking through your approach as you solve problems, not just arriving at the answer, because interviewers weigh how you think as much as the final result.
Target structured rotational and university programs early
Many larger employers run dedicated data engineering cohort or university programs designed to train people new to the field. These programs recruit early, fill fast, and offer more structured mentorship than ad-hoc intern placements. Identify the ones that fit your school year and apply in the first recruiting wave rather than after the cohort closes.
Set your work-type filter before you start
On-site roles are 56% of the data engineer internships listed here. Decide what you can realistically commit to, on-site, hybrid, or remote, before you start applying. Filter by location and work type on Migrate Mate so you're reviewing only roles you can actually take, rather than sorting through listings that won't work for your situation.
Data Engineer Internships: Frequently Asked Questions
How do I get a data engineer internship?
Lead with coursework and personal projects rather than work history, hiring teams expect limited experience at the intern level. A GitHub portfolio with complete, documented pipelines using tools like Python, SQL, or Spark gives recruiters something concrete to assess. Alongside direct applications, attend campus career fairs, where data team recruiters often move faster for students they meet in person.
Can a data engineer internship turn into a full-time job?
Many employers extend return offers to strong interns, but conversion is never guaranteed. What drives it is consistent performance on real project work, available headcount on the team, and understanding the return-offer timeline before your internship ends. Position yourself by treating every deliverable as a work sample, without counting on the outcome.
When should I apply for data engineer internships?
Earlier than most candidates expect. Large employers, especially in tech and finance, recruit summer interns the preceding fall, sometimes as early as August or September. Smaller companies and co-op programs post much closer to start dates, so openings appear year-round. Checking regularly means you won't miss the early recruiting windows at structured programs.
Are data engineer internships paid?
Most professional data engineer internships in the U.S. are paid. Compensation varies by company size, industry, and location. Where an employer discloses pay, the listing will show it. Unpaid arrangements are uncommon outside academic credit arrangements, and those are typically disclosed upfront in the posting.
What should a data engineer internship resume include?
Lead with two or three complete, documented projects rather than work history. For each project, name the tools used, Python, SQL, Spark, dbt, Airflow, cloud platforms, and link to the code on GitHub so reviewers can assess the work directly. Add relevant coursework below projects, keep everything to one page, and leave off anything unrelated to data engineering.
Are there remote data engineer internships?
Yes. Remote and hybrid roles make up 44% of the data engineer internship listings here, with the rest on-site. Remote cohorts fill fast because they attract candidates from across the country, so apply early once you decide what you can commit to. Use the work-type filter to see only remote or hybrid roles.
Can international students get data engineer internships?
Yes. F-1 students can intern through CPT while enrolled or through OPT work authorization after finishing a degree, and the employer does not have to file anything for either, so many companies are open to international interns. Confirm your eligibility and timing with your university's international student office before accepting an offer.
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