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Snowflake Intern Jobs in Florida (NOW HIRING)

Rialto Capital

Junior AI Engineer - Co-op

Miami, FL · On-site

The AI Engineering Intern will join Rialto's Information Engineering team, working at the ... Work with platforms including DealCloud, Snowflake, Neo4j, Appian, Investran, and Microsoft 365 ...

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Snowflake Intern information

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How much do snowflake intern jobs pay per hour?

As of Jun 10, 2026, the average hourly pay for snowflake intern in Florida is $12.73, according to ZipRecruiter salary data. Most workers in this role earn between $10.77 and $14.38 per hour, depending on experience, location, and employer.

What types of projects can a Snowflake Intern expect to work on, and how do these projects support professional development?

As a Snowflake Intern, you can expect to work on a variety of projects such as developing data pipelines, optimizing SQL queries, supporting data migration efforts, and assisting with cloud data warehouse integrations. These projects are typically designed to provide hands-on experience with Snowflake's platform and related cloud technologies, allowing interns to build practical technical skills. You'll often collaborate with experienced engineers and data analysts, gaining insight into real-world data engineering workflows and best practices. This exposure not only enhances your technical toolkit but also helps you understand the collaborative dynamics of data teams, positioning you well for future roles in data engineering or analytics.

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

To thrive as a Snowflake Intern, you should have a solid understanding of SQL, data warehousing concepts, and programming languages such as Python or Java, often supported by ongoing coursework in computer science or a related field. Familiarity with the Snowflake platform, cloud services like AWS or Azure, and data analytics tools is highly beneficial. Strong problem-solving, attention to detail, and effective communication skills help you collaborate and learn quickly in a team environment. These competencies are vital to contribute meaningfully to projects and adapt to the fast-paced, data-driven work at Snowflake.

What is the difference between Snowflake Intern vs Snowflake Developer?

AspectSnowflake InternSnowflake Developer
Required CredentialsBasic understanding of cloud data platforms, possibly some coursework or certificationsProficiency in SQL, data warehousing, and Snowflake-specific features, often with relevant certifications
Work EnvironmentInternship setting, learning-focused, entry-level tasksFull-time role, development-focused, responsible for building and maintaining Snowflake data solutions
Employer & Industry UsageInternships in tech companies, data teams, or consulting firmsData engineering teams across various industries using Snowflake for data management

The main difference between a Snowflake Intern and a Snowflake Developer lies in experience, responsibilities, and skill level. Interns are typically in learning roles with entry-level tasks, while developers are responsible for designing and implementing Snowflake data solutions, requiring more expertise and certifications.

What does a Snowflake Intern do?

A Snowflake Intern typically works on projects related to data warehousing, cloud computing, and software engineering using the Snowflake platform. Interns may assist with building data pipelines, optimizing queries, or developing new features under the guidance of experienced engineers. The internship provides hands-on experience with real-world data challenges and exposure to modern cloud technologies. Interns are encouraged to learn, collaborate, and contribute to the team’s goals while gaining insights into the industry.
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Snowflake Intern jobs near you
Junior AI Engineer - Co-op

Junior AI Engineer - Co-op

Rialto Capital

Miami, FL

Full-time

Posted 4 days ago

Job description

KEY RESPONSIBILITIES:

The AI Engineering Intern will join Rialto's Information Engineering team, working at the intersection of enterprise data and AI. This role focuses on building integrations that connect Rialto's enterprise platforms and databases to Claude and other AI assistants, enabling the firm's investment professionals to interact with critical business data through natural language. You will work closely with senior engineers, data engineers, and business stakeholders to build, test, and deploy production-grade AI data integrations.

MCP Server Development:

Design, build, and maintain Model Context Protocol (MCP) servers that expose Rialto's enterprise data sources to AI assistants such as Claude, ChatGPT, and Gemini. Work with platforms including DealCloud, Snowflake, Neo4j, Appian, Investran, and Microsoft 365.

Enterprise Data Integration:

Build connectors and APIs that bridge Rialto's diverse data ecosystem, including relational databases, data warehouses, knowledge graphs, and SaaS platforms, so that AI tools can securely query and surface business-critical information.

Data Modeling & Schema Design: Help define the data schemas, tool definitions, and resource descriptions that MCP servers expose to AI models, ensuring data is structured for accurate and useful AI-driven responses.

Testing & Prototyping: Rapidly prototype new MCP integrations, test them against real business workflows, and iterate based on feedback from investment management, asset management, and operations teams.

Collaboration & Communication: Work alongside the Information Engineering team, data engineers, and business users across Investment Management, Asset Management, Legal, Finance, and Operations to gather requirements, troubleshoot issues, and deliver AI-powered data access solutions.

SPECIFICATIONS:

Current Juniors and Seniors: 6 month co-op internship preferred or 10 week standard internship program.

Programming Fundamentals: Proficiency in Python and/or TypeScript. Familiarity with server-side frameworks (FastAPI, Express, or similar) for building APIs and services. Experience using AI coding agents such as Claude Code or Codex to accelerate development is a strong plus.

API & Protocol Development: Familiarity with RESTful APIs, JSON-RPC, or similar protocols. Understanding of the Model Context Protocol (MCP) specification is a strong plus. Experience with frontend frameworks (React) is helpful but not required.

Cloud & Infrastructure: Basic understanding of cloud platforms (Azure preferred), containerization (Docker), and CI/CD pipelines. Exposure to serverless or container-based deployment patterns is a plus.

Data & Database Proficiency: Working knowledge of SQL and experience querying relational databases or data warehouses. Exposure to graph databases (Neo4j/Cypher) or cloud data platforms (Snowflake, Azure Fabric) is a plus. Version control (Git) required.

AI & LLM Integration: Demonstrated curiosity about or experience with Large Language Models, prompt engineering, AI tool integration, or chatbot development. Hands-on experience with Claude, ChatGPT, or similar AI platforms is a strong plus.

Detail-Oriented: Exhibits precision when building integrations, writing data schemas, and testing AI-powered workflows against real business scenarios.

Team-Focused & Collaborative: Enjoys working in a cross-functional environment and learning from senior engineers.

Adaptable & Innovative: Embraces new challenges in a fast-evolving AI landscape, proposing creative solutions and improvements.

Positive Attitude & Enthusiasm: Approaches tasks with energy, resilience, and a desire to learn.

Strong Interest in Real Estate & Alternative Investments (Preferred): Not required, but helpful for understanding the business context of AI solutions at Rialto.

While performing the duties of this job, the Associate is occasionally required to stand; walk; sit; use hands to finger, handle, or feel objects, tools or controls; reach with hands and arms; climb stairs; balance; stoop. The Associate must occasionally lift and/or move up to 25 pounds. Evening or weekend work may be necessary to meet deadlines.

This description outlines the basic tasks and requirements for the position noted. It is not a comprehensive listing of all job duties.

Rialto Capital is committed to the principles of Equal Employment Opportunity. Our policy is to provide equal employment opportunity to all applicants and Associates without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity or expression, national origin, age (40+), disability, veteran status, genetic information (including family medical history), or any other legally protected status.

Our company uses E-Verify to confirm the employment eligibility of all newly hired employees.

To learn more about E-Verify, including your rights and responsibilities please visit: e-verify.gov.

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