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Internship Azure Databricks Jobs in Wisconsin (NOW HIRING)

Internship Azure Databricks information

What is the difference between Internship Azure Databricks vs Data Engineer Intern?

AspectInternship Azure DatabricksData Engineer Intern
Required SkillsAzure, Databricks, SQL, PythonSQL, Python, ETL, Cloud platforms
Work EnvironmentCloud-based, data analytics projectsData pipelines, database management
CertificationsAzure certifications beneficialBasic data engineering certifications helpful

Internship Azure Databricks focuses on working with the Databricks platform on Azure for data analytics, while Data Engineer Interns work on building data pipelines and managing data infrastructure. Both roles require knowledge of SQL and Python, but Azure Databricks emphasizes cloud-based analytics, making it ideal for those interested in cloud data solutions.

What is an Azure Databricks internship?

An Azure Databricks internship is a temporary, hands-on role for students or recent graduates to gain practical experience working with Azure Databricks, a cloud-based data analytics platform. Interns typically assist with data engineering, data analytics, or machine learning projects using tools such as Apache Spark within the Azure environment. The internship helps participants develop technical skills, learn about big data processes, and contribute to real-world business solutions under the guidance of experienced professionals.

What are the key skills and qualifications needed to thrive as an Azure Databricks intern?

To thrive as an Azure Databricks Intern, you need a solid understanding of data analytics, programming (especially Python or Scala), and foundational knowledge of cloud computing concepts. Familiarity with Databricks, Azure cloud services, SQL, and possibly certifications like Microsoft Azure Fundamentals are typically beneficial. Strong problem-solving abilities, eagerness to learn, and effective communication skills help you collaborate with teams and adapt quickly in a fast-paced environment. These skills enable you to efficiently process and analyze data, contribute to projects, and make the most of your internship experience.

What are some common challenges faced during an Azure Databricks internship, and how can I prepare for them?

As an Azure Databricks intern, you may encounter challenges such as learning to navigate the Databricks workspace, understanding distributed data processing with Spark, and collaborating across multidisciplinary teams. To prepare, it's helpful to familiarize yourself with cloud computing basics, Python or Scala programming, and foundational data engineering concepts. You'll often work closely with data engineers and analysts, so strong communication and a willingness to ask questions are key to overcoming initial hurdles and making the most of your learning experience.
What are the most commonly searched types of Azure Databricks jobs in Wisconsin? The most popular types of Azure Databricks jobs in Wisconsin are:
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Infographic showing various Internship Azure Databricks job openings in Wisconsin as of August 2026, with employment types broken down into 10% Internship, 64% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.

Business Intelligence Engineer

Milwaukee Tool

Menomonee Falls, WI • On-site

$51.25 - $66.50/hr

Full-time

Medical, Dental, Vision, Retirement

Re-posted 3 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 will be empowered to build, collaborate, and evolve as part of a fast-paced team that is redefining how data drives decisions across the business.
Your Role on Our Team:
As a Business 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 in Computer Science, Information Systems, Data Analytics, Finance, or related field (or equivalent experience).

  • Years of Experience: 1-2 years of experience in BI development, data analytics, or data visualization roles including 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, Databricks Genie and 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 BI and 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 Purview for lineage, quality, and governance.

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

  • AI-Powered Analytics: Hands-on experience with AI features across Milwaukee Tool's stack (Copilot in Power BI, Microsoft Fabric Copilot, Databricks Genie/AI-BI, or Oracle FDI Ask Oracle) and a basic understanding of prompt design and responsible AI practices in a reporting context.

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. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
  • Frequently required to stand, walk, bend, stretch, reach, and effectively communicate with others in the workplace.

  • Sitting for prolonged periods of time

  • Prolonged exposure to computer screens

  • Repetitive use of hands and fingers to operate office equipment, machinery, hand tools and/or power tools.

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

  • May require wearing personal protective equipment which includes, but is not limited to, safety glasses, gloves, and hearing protection.

  • May work in laboratories and/or controlled, enclosed, restricted areas.

  • Noise levels range from moderate to loud.

  • Must be able to lift up to 50 pounds at a time.

  • May require travel dependent on company needs.

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 site HERE.

Milwaukee Tool is an equal opportunity employer.