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Internship Snowflake Jobs in Wisconsin (NOW HIRING)

Internship Snowflake information

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 Wisconsin? The most popular types of Snowflake jobs in Wisconsin are:
What cities in Wisconsin are hiring for Internship Snowflake jobs? Cities in Wisconsin with the most Internship Snowflake job openings:
Business Intelligence Engineer

Business Intelligence Engineer

Milwaukee Tool

Menomonee Falls, WI • On-site

$51.25 - $66.50/hr

Full-time

Medical, Dental, Vision, Retirement

Posted 18 days ago


Job description

Job Description:

Business Intelligence Engineer

*Applicants must be authorized to work in the U.S.; Sponsorship is not available for this position

INNOVATE without boundaries!

At Milwaukee Tool, we believe our People and our Culture are the keys to our success - so we give you the tools and support to make a real impact.

Inside our doors,you willbe empowered to build, collaborate, and evolve as part of a fast-paced teamthat isredefining how data drives decisions across the business.

Your Role on Our Team:

As aBusiness Intelligence Engineer, you'll help design and deliver trusted reporting solutions that power decision-making across the Finance Team. You'll work closely with business partners within Finance to gather requirements, provide ongoing support, and offer consultation on how to best leverage data to answer their questions. Along the way, you'll sharpen your technical skills in Power BI, SQL, and data modeling, while learning how financial data connects to the broader business. This role is focused on delivery, quality, and building a strong foundation in modern BI practices - including the responsible use of AI to accelerate insight.

You'll be DISRUPTIVE through these duties and responsibilities:

  • Data & Dashboard Development:Build reports and dashboards in Power BI that support key Finance decisions, operational visibility, and executive-level storytelling.

  • Collaborative Requirements Gathering:Partner with Finance stakeholders to translate business questions into clear reporting requirements.

  • Modeling Support:Contribute to the design of semantic models and datasets that are performant, reusable, and easy to understand.

  • Troubleshooting:Debug and resolve issues in reporting or data inconsistencies using structured investigation.

  • Agile Project Execution:Serve as a liaison to IT and participate in sprint planning, estimation, reviews, and retrospectives. Break down work into manageable deliverables aligned with business priorities.

  • Documentation:Help maintain documentation for models, metrics definitions, and reporting processes to ensure shared understanding.

  • Self-Service Support:Assist in enabling business users through clear documentation, curated datasets, and support for self-service reporting environments.

  • Stakeholder Communication: Communicate insights, progress, and blockers clearly and regularly with cross-functional partners.

  • Data Governance & Security:Follow best practices for role-based access, data privacy, and report-level security.

  • Continuous Learning:Actively grow your BI tool expertise and share learnings with the team and cross-functional partners.

  • Leverage AI Solutions:Leverage AI-powered features in BI platforms (e.g., natural language queries, automated insights) to accelerate report creation and data storytelling.

The TOOLS you'll bring with you:

  • Education:Bachelor's degree inComputerScience, Information Systems, Data Analytics,Finance,or related field (or equivalent experience).

  • Years of Experience:1-2years of experience in BI development,data analytics, or data visualization rolesincluding internship experiences.

  • BI Tool Expertise:Hands-on experience with Power BI, Tableau, or Looker. Able to build interactive dashboards and maintain datasets. Experience implementing AI technologies preferred.

  • SQL:Working knowledge of SQL (joins, filters, aggregations, basic CTEs).

  • Data Modeling:Familiarity with dimensional modeling (star/snowflake schema) and semantic layers.

  • Cloud & Data Platforms:Experience with cloud environments such as Azure, Snowflake, or Databricks for data transformation and modeling.

  • Agile Experience:Comfort working within Agile processes, including sprint planning, reviews, and backlog grooming.

  • Business Acumen:Strong communication skills and growing business acumen, experience in Finance is preferred.

  • AI Curiosity:Interest in applying AI tools (e.g., Microsoft Copilot, Power BI Copilot, DatabricksGenieand Oracle FDI) to everyday reporting and analytics work in a responsible, governed way.

Other TOOLS we prefer you to have:

  • Azure DevOps: Familiarity with Azure DevOps for managing workflows, integrating with Power BIand Databricks, and streamlining project pipelines.

  • Version Control - Git:Exposure to Git for source control and collaboration on BI/analytics assets.

  • Power Automate:Ability to automate repetitive reporting tasks within the Microsoft ecosystem.

  • Data Governance Tools: Familiarity with tools like Databricks Unity Catalog or Azure Purviewfor lineage, quality, and governance.

  • Finance Systems Exposure:Any exposure to Oracle Fusion, ERP data, or financial reporting concepts is a plus.

  • AI-PoweredAnalytics:Hands-on experience with AI features across Milwaukee Tool's stack (Copilot in Power BI, Microsoft Fabric Copilot, DatabricksGenie/AI-BI,orOracleFDIAskOracle)andabasicunderstandingofpromptdesignandresponsibleAIpracticesinareportingcontext.

Working Conditions:

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonableaccommodationsmay be made to enable individuals with disabilities to perform the essential functions.

  • Frequently required tostand, walk, bend, stretch, reach, and effectively communicate withothers in theworkplace.

  • Sitting for prolonged periods of time

  • Prolonged exposure to computer screens

  • Repetitive use of handsand fingersto operate office equipment, machinery, hand tools and/or powertools.

  • Specific vision abilities required by this job include close vision, color vision, peripheral vision, depth perception, and ability to adjustfocus.

  • May requirewearingpersonal protective equipmentwhich includes, but is not limited to,safetyglasses,gloves,andhearingprotection.

  • May work in laboratories and/orcontrolled, enclosed, restrictedareas.

  • Noise levels range from moderate toloud.

  • Must be able to lift up to 50 pounds at atime.

  • May require travel dependent on companyneeds.

We provide these great perks and benefits:

  • Robust health, dental and vision insurance plans

  • Generous 401 (K) savings plan

  • Education assistance

  • On-site wellness, fitness center, food, and coffee service

  • And many more, check out our benefits siteHERE.

Milwaukee Tool is an equal opportunity employer.