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Internship Snowflake Jobs (NOW HIRING)

Hands-on coursework, internship, or project experience with Databricks (Delta Lake) or Snowflake at any scale. * Hands-on coursework, internship, or project experience with Microsoft Fabric, OneLake ...

Hands-on coursework, internship, or project experience with Databricks (Delta Lake) or Snowflake at any scale. * Hands-on coursework, internship, or project experience with Microsoft Fabric, OneLake ...

... internship, or college coursework * Familiarity with cloud-computing concepts; exposure to Snowflake and/or AWS environments is a plus * General awareness of data platform and data warehouse concepts

... internship, or college coursework * Familiarity with cloud-computing concepts; exposure to Snowflake and/or AWS environments is a plus * General awareness of data platform and data warehouse concepts

... internship, or college coursework * Familiarity with cloud-computing concepts; exposure to Snowflake and/or AWS environments is a plus * General awareness of data platform and data warehouse concepts

... internship, or college coursework * Familiarity with cloud-computing concepts; exposure to Snowflake and/or AWS environments is a plus * General awareness of data platform and data warehouse concepts

... internship, or college coursework * Familiarity with cloud-computing concepts; exposure to Snowflake and/or AWS environments is a plus * General awareness of data platform and data warehouse concepts

... internship, or college coursework * Familiarity with cloud-computing concepts; exposure to Snowflake and/or AWS environments is a plus * General awareness of data platform and data warehouse concepts

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Internship Snowflake information

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How much do internship snowflake jobs pay per hour?

As of Jun 18, 2026, the average hourly pay for internship snowflake in the United States is $17.31, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $19.23 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Intern at Snowflake, and why are they important?

To thrive as an Intern at Snowflake, you generally need a solid foundation in computer science principles, programming skills (such as SQL, Python, or Java), and pursuit of a relevant degree like Computer Science or Engineering. Familiarity with cloud computing platforms, data warehousing concepts, and tools like Git and Snowflake’s own data platform is often expected. Strong problem-solving abilities, eagerness to learn, and effective communication set standout interns apart. These skills and qualities are crucial for contributing to innovative projects, collaborating with teams, and gaining the most from the hands-on learning experience.

What is an Internship at Snowflake?

An Internship at Snowflake is a temporary position designed for students or recent graduates to gain hands-on experience in cloud data platform technologies. Interns work on real projects alongside experienced professionals, contributing to various teams such as engineering, product management, or sales. The internship provides valuable industry exposure, mentorship, and networking opportunities, often serving as a pathway to full-time employment.

What is the difference between Internship Snowflake vs Data Engineer Intern?

AspectInternship SnowflakeData Engineer Intern
Required CredentialsBasic SQL, Cloud platform familiaritySQL, programming skills, cloud knowledge
Work EnvironmentData warehousing, cloud-based platformsData pipelines, database management
Employer & Industry UsageTech companies, data-driven organizationsTech firms, analytics companies
Common Search & Comparison IntentUnderstanding Snowflake-specific rolesData infrastructure roles

Internship Snowflake focuses on roles involving Snowflake data warehousing technology, emphasizing cloud-based data storage and SQL skills. Data Engineer Interns typically work on building data pipelines, managing databases, and integrating various data sources. While both roles require SQL knowledge, Snowflake internships are more specialized in cloud data warehousing, whereas Data Engineer Internships cover broader data infrastructure tasks.

What types of projects do interns typically work on during a Snowflake internship?

During a Snowflake internship, interns are usually assigned to real-world projects that directly impact the company's products and services. These projects often involve collaborating with full-time engineers on tasks such as building new features, improving data pipeline efficiency, or contributing to open-source components. Interns are encouraged to participate in team meetings, code reviews, and brainstorming sessions, providing valuable learning opportunities and exposure to industry best practices. This hands-on experience helps interns develop technical skills and gain insight into the collaborative work environment at Snowflake.
More about Internship Snowflake jobs
What cities are hiring for Internship Snowflake jobs? Cities with the most Internship Snowflake job openings:
What are the most commonly searched types of Snowflake jobs? The most popular types of Snowflake jobs are:
What states have the most Internship Snowflake jobs? States with the most job openings for Internship Snowflake jobs include:
Infographic showing various Internship Snowflake job openings in the United States as of June 2026, with employment types broken down into 14% As Needed, 79% Full Time, and 7% Temporary. Highlights an 85% Physical, 1% Hybrid, and 14% Remote job distribution, with an average salary of $35,995 per year, or $17.3 per hour.
Internship - Data Engineer, Commercial Audience Science (Spring 2027)

Internship - Data Engineer, Commercial Audience Science (Spring 2027)

Universal Creative

Orlando, FL

Other

Posted 7 days ago


Job description

Internship - Data Engineer, Commercial Audience Science (Spring 2027)

Apply now Job no: 662778
Work type: Seasonal
Location: Orlando
Categories: Internships, Orlando - Internships

Universal Destinations & Experiences Internship Program:
  • Applications Close: June 26th, 2026, at 11:55PM ET. Submit your application as soon as possible - don't delay!
  • Spring 2027 Program Dates:  Approximately January 2027 - April 2027
JOB SUMMARY:

The Data Engineering Intern will work with a team of data scientists and analysts to learn how to build and improve data sources that support business needs. In this role, the intern will gain hands-on experience working with both structured and unstructured data, helping to create scalable data pipelines and ensuring data is clean, reliable, and ready for analysis and machine learning. The intern will also get experience designing data workflows, running data quality checks, and supporting model development and deployment. Throughout the internship, they will learn best practices in data ingestion, data transformation, and data infrastructure. This experience will help the intern build practical skills in ETL pipelines, MLOps, and overall data engineering.

MAJOR RESPONSIBILITIES:
  • Support data scientists and analysts by building, maintaining, and optimizing data pipelines that enable analytics, insights, and machine learning models.
  • Help with ingesting, transforming, and validating structured and unstructured data, ensuring data quality, consistency, and availability.
  • Develop and maintain reusable data assets, models, and workflows that make data accessible for business use cases.
  • Participate in team meetings, code reviews, and learning sessions to build technical skills and understanding of real-world data platform development.
MINIMUM QUALIFICATIONS: 
  • Coursework or experience with data engineering and data structures.
  • Basic understanding of data architecture, databases, and data warehousing concepts.
  • Experience with Python/R and SQL for data cleaning, manipulation, transformation, and validation. Familiarity with ETL processes.
  • REST APIs, and building data pipelines.
  • Proficient skill level in Microsoft Suite. Strong verbal, written, and presentation skills.
  • In pursuit of an Associate, Bachelor or Graduate degree at an Accredited Institution with current class standing of Senior or above.
  • Minimum cumulative 2.8 GPA is required. 
  • A transcript is required upon application.
PREFERRED SKILLS & KNOWLEDGE:
  • Experience with Big Data or distributed processing tools (e.g., Snowflake, Databricks, Spark, Hadoop).
  • Experience with cloud platforms (e.g., Azure, AWS).
  • Experience with data visualization platforms (e.g., Power BI, Tableau).
  • Preferred majors include: Computer Science, Data Engineering, Data Science, Information Systems, or a related quantitative field.
Please note the following:
  • This internship will be an in-person experience, based in our Orlando offices.
  • Interns must be currently pursuing a degree at an accredited university, and must have a graduation date later than April 2027.
  • Universal Orlando does not provide housing. Interns are responsible for their own housing and transportation.
  • All of our internships are paid, and you may also qualify for housing financial assistance if applicable. The Recruiter will provide specific eligibility details.


Universal is not accepting unsolicited assistance from search firms for this employment opportunity. All resumes submitted by search firms to any employee at Universal Orlando via-email, the Internet or in any form and/or method without a valid written Statement of Work in place for this position from Universal Orlando HR/Recruitment will be deemed the sole property of Universal Orlando. No fee will be paid in the event the candidate is hired by Universal Orlando as a result of the referral or through other means. 


Universal Orlando Resort. Here you can.

Universal Orlando is an equal opportunity employer. Universal elements and all related indicia TM & 2026 Universal Studios. All rights reserved.

Advertised: Jun 11 2026 Eastern Daylight Time
Applications close: Jun 26 2026 Eastern Daylight Time

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