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Internship Snowflake Jobs in Utah (NOW HIRING)

Data Engineer

Salt Lake City, UT

$105K - $126K/yr

Help set up our first cloud data warehouse (e.g., Snowflake or BigQuery) and the initial schema ... Some hands-on exposure to ETL/ELT or pipelines in production or in a substantial project/internship ...

Systems Analyst II

Salt Lake City, UT · Hybrid

$126K - $145K/yr

Where does our GTM data model break down across systems (Salesforce, Snowflake, reverse-ETL ... Mentor junior ICs and interns as they ramp up on systems and tooling work. Requirements * 2-4 years ...

Where does our GTM data model break down across systems (Salesforce, Snowflake, reverse-ETL ... Mentor junior ICs and interns as they ramp up on systems and tooling work. Requirements * 2-4 years ...

Internship Snowflake information

See Utah salary details

$8

$15

$21

How much do internship snowflake jobs pay per hour?

As of Jul 27, 2026, the average hourly pay for internship snowflake in Utah is $15.36, according to ZipRecruiter salary data. Most workers in this role earn between $13.32 and $17.55 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.
What are the most commonly searched types of Snowflake jobs in Utah? The most popular types of Snowflake jobs in Utah are:
What are popular job titles related to Internship Snowflake jobs in Utah? For Internship Snowflake jobs in Utah, the most frequently searched job titles are:
What cities in Utah are hiring for Internship Snowflake jobs? Cities in Utah with the most Internship Snowflake job openings:

$14.25 - $19/hr

Part-time

Posted 15 days ago


Job description

Job Type
Part-time, Internship
Description
JOB SUMMARY:
Smith Entertainment Group is seeking an AI & Innovation Intern to help build and scale our internal AI Studio. This role will focus on building, testing, and implementing practical AI solutions that improve decision-making, efficiency, and fan experience across the organization. The intern will work directly with business leaders, data teams, and technology partners to develop internal GPTs, copilots, and AI-powered workflows for departments including Partnerships, Marketing, Ticketing, Arena Operations, and more. This is a unique opportunity to help shape how a professional sports and entertainment organization adopts AI at scale. This role is fully onsite, part-time 25-30 hours per week, and is expected to run for approximately 10 months.
DUTIES & RESPONSIBILITIES:
Build Internal AI Tools
  • Design, build, and test GPTs and copilots for departments across SEG.
  • Develop AI-powered solutions that help employees access information, generate insights, and automate repetitive tasks.
  • Assist in creating internal analytics copilots powered by Snowflake data.

AI Research & Evaluation
  • Research emerging AI platforms, tools, and vendors.
  • Test and compare AI models including ChatGPT, Claude, and other emerging platforms.

Pilot Development
  • Support the development and execution of AI pilot programs.
  • Gather feedback from internal users and iterate on solutions.

Documentation & Knowledge Sharing
  • Create documentation, prompt libraries, and implementation guides.
  • Help develop repeatable frameworks for future AI projects.

REQUIREMENTS:
  • Currently pursuing a degree in Business, Information Systems, Computer Science, Data Science, Engineering, or a related field.
  • Strong interest in artificial intelligence, emerging technology, and innovation.
  • Familiarity with ChatGPT, Claude, or other AI tools.
  • Strong problem-solving and communication skills.
  • Comfortable learning new technologies independently.

PREFERRED QUALIFICATIONS:
  • Experience building custom GPTs, AI workflows, or automations.
  • Basic understanding of data platforms such as Snowflake.
  • Familiarity with JSON, APIs, or prompt engineering.
  • Experience with analytics, reporting, or business intelligence tools.

PHYSICAL DEMANDS:
  • Must be able to communicate effectively in writing and verbally.
  • Must be able to observe, inspect, estimate, and assess.
  • Must be able to sit, stand, bend, walk, and climb stairs for long periods.
  • Must be able to lift 20 lbs.

The Smith Entertainment Group provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
Note: The need may arise to revise, supplement, or rescind portions of this job description, and SEG reserves the right to do so at any time. Employees shall be required to meet the qualifications and perform the duties of any revised job description.