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 Technology & Software, Social Media, and Food & Beverage, with TikTok, Tesla, and Campbell's among the employers posting roles now.
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Job Description:
The Role and Impact Are you ready to make an impact at the forefront of data science and analytics? Join Intel as a Data Science and Analytics Undergraduate Intern and become part of a team leveraging data-driven insights to drive innovation and improve business decisions. In this role, you will contribute to Intel's success by uncovering patterns in large datasets, building data models and visualizations, and supporting projects that shape the future of Intel's platforms. This opportunity offers hands-on experience, skill-building, and collaboration with talented professionals to solve real-world challenges and make meaningful contributions to Intel's mission of creating world-changing technology. Key Responsibilities - Assist in the collection, analysis, and interpretation of large datasets to uncover meaningful insights. - Develop and maintain data models, dashboards, and visualizations to support decision-making and enhance the user experience across Intel platforms. - Collaborate with data scientists, analysts, and engineers on data-driven projects that align with Intel's business goals. - Support data validation and cleansing processes to ensure data accuracy and quality. - Contribute to problem-solving initiatives and data storytelling to communicate insights effectively to stakeholders. - Gain hands-on experience and explore career opportunities through projects in a collaborative environment.Qualifications:
Minimum Qualifications - Bachelor's degree in Data Science, Computer Science, Mathematics, Statistics, or a related field. - Proficiency in data analysis tools such as Python, R, or SQL. - Experience with data visualization tools such as Tableau, Power BI, or similar platforms. - Strong foundation in data validation, cleansing, and statistical analysis. - Familiarity with reporting tools and techniques to present findings effectively. Preferred Qualifications - Strong problem-solving skills with the ability to analyze complex datasets and derive actionable insights. - Effective collaboration and communication skills to work in a multidisciplinary team environment. - Enthusiasm for learning and applying new data science techniques and technologies. - Demonstrated ability to manage time and prioritize tasks in a fast-paced setting. This is your chance to contribute to cutting-edge projects, build valuable skills, and collaborate with some of the brightest minds in the industry. Apply today and begin your journey toward a future with Intel.Job Type:
Student / InternShift:
Shift 1 (United States of America)Primary Location:
US, Texas, AustinAdditional Locations:
Business group:
The Central Engineering Group (CEG) is Intel's data-driven organization that builds scalable engineering solutions across three pillars: Product Enablement (IP, tools, and methodologies), Custom ASIC (leveraging existing IP for custom silicon), and Foundry Enablement (supporting top customers and validating technologies). The team focuses on customer-driven, end-to-end solutions with short development cycles to deliver measurable business impact across Intel's product and foundry businesses.Posting Statement:
All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.Position of Trust
N/ABenefits
We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock bonuses, and benefit programs which include health, retirement, and vacation. Find out more about the benefits of working at Intel .
The range displayed on this job posting reflects the minimum and maximum target compensation for the position across all US locations. Our standard internship rates are based on your degree, location, and the job role. Your recruiter can share more about the specific compensation range for your preferred location and job role during the hiring process.
Work Model for this Role
This role will require an on-site presence. * Job posting details (such as work model, location or time type) are subject to change.Job Details:
Job Description:
The Role and Impact Are you ready to make an impact at the forefront of data science and analytics? Join Intel as a Data Science and Analytics Undergraduate Intern and become part of a team leveraging data-driven insights to drive innovation and improve business decisions. In this role, you will contribute to Intel's success by uncovering patterns in large datasets, building data models and visualizations, and supporting projects that shape the future of Intel's platforms. This opportunity offers hands-on experience, skill-building, and collaboration with talented professionals to solve real-world challenges and make meaningful contributions to Intel's mission of creating world-changing technology. Key Responsibilities - Assist in the collection, analysis, and interpretation of large datasets to uncover meaningful insights. - Develop and maintain data models, dashboards, and visualizations to support decision-making and enhance the user experience across Intel platforms. - Collaborate with data scientists, analysts, and engineers on data-driven projects that align with Intel's business goals. - Support data validation and cleansing processes to ensure data accuracy and quality. - Contribute to problem-solving initiatives and data storytelling to communicate insights effectively to stakeholders. - Gain hands-on experience and explore career opportunities through projects in a collaborative environment.Qualifications:
Minimum Qualifications - Bachelor's degree in Data Science, Computer Science, Mathematics, Statistics, or a related field. - Proficiency in data analysis tools such as Python, R, or SQL. - Experience with data visualization tools such as Tableau, Power BI, or similar platforms. - Strong foundation in data validation, cleansing, and statistical analysis. - Familiarity with reporting tools and techniques to present findings effectively. Preferred Qualifications - Strong problem-solving skills with the ability to analyze complex datasets and derive actionable insights. - Effective collaboration and communication skills to work in a multidisciplinary team environment. - Enthusiasm for learning and applying new data science techniques and technologies. - Demonstrated ability to manage time and prioritize tasks in a fast-paced setting. This is your chance to contribute to cutting-edge projects, build valuable skills, and collaborate with some of the brightest minds in the industry. Apply today and begin your journey toward a future with Intel.Job Type:
Student / InternShift:
Shift 1 (United States of America)Primary Location:
US, Texas, AustinAdditional Locations:
Business group:
The Central Engineering Group (CEG) is Intel's data-driven organization that builds scalable engineering solutions across three pillars: Product Enablement (IP, tools, and methodologies), Custom ASIC (leveraging existing IP for custom silicon), and Foundry Enablement (supporting top customers and validating technologies). The team focuses on customer-driven, end-to-end solutions with short development cycles to deliver measurable business impact across Intel's product and foundry businesses.Posting Statement:
All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.Position of Trust
N/ABenefits
We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock bonuses, and benefit programs which include health, retirement, and vacation. Find out more about the benefits of working at Intel .
The range displayed on this job posting reflects the minimum and maximum target compensation for the position across all US locations. Our standard internship rates are based on your degree, location, and the job role. Your recruiter can share more about the specific compensation range for your preferred location and job role during the hiring process.
Work Model for this Role
This role will require an on-site presence. * Job posting details (such as work model, location or time type) are subject to change.Data Engineer Internship Market
Who's Hiring
Top Industries Hiring
- Technology & Software
- Social Media
- Food & Beverage
- Media & Entertainment
- Manufacturing
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 95% 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 5% 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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