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Databricks Internship information

What is the highest paying summer internship?

The highest paying summer internships are typically in finance, technology, and consulting industries, with some offering compensation exceeding $10,000 for the season. For roles like a Databricks internship, pay varies based on location, experience, and skill level, but competitive internships often include stipends or hourly wages aligned with industry standards.

Does Databricks hire interns?

Yes, Databricks offers internship programs for students and recent graduates interested in data engineering, software development, and related fields. Internships typically involve working on real projects using tools like Apache Spark and require a strong technical background and relevant coursework. These programs are usually available during summer and sometimes throughout the year, providing valuable industry experience.

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

To thrive as a Databricks Intern, you typically need a solid foundation in computer science, data engineering, or a related field, along with strong programming skills in languages like Python, SQL, or Scala. Familiarity with cloud platforms (such as AWS, Azure, or GCP), big data frameworks (like Apache Spark), and data analytics tools is commonly required. Strong problem-solving abilities, communication skills, and a collaborative mindset help interns excel in dynamic, team-oriented environments. Mastering these skills enables effective contribution to real-world data projects, supporting innovation and business impact at Databricks.

How much do Databricks interns get paid?

Databricks interns typically receive a stipend or hourly pay that varies depending on location, experience, and the specific internship program. Intern salaries for tech companies generally range from $20 to $40 per hour, with some programs offering additional benefits or stipends for housing and transportation.

Is Databricks a high paying job?

A Databricks internship typically offers competitive compensation compared to other tech internships, with pay varying based on location, experience, and skills. Interns working with cloud platforms, data engineering, or machine learning tools may also receive additional benefits or stipends. Overall, it is considered a well-paying internship opportunity within the tech industry.

What types of projects do Databricks interns typically work on, and how are they integrated into existing teams?

Databricks interns are usually assigned to real-world projects that align with the company's current priorities, such as developing new data analytics features, optimizing cloud infrastructure, or contributing to open-source initiatives like Apache Spark. Interns are integrated into agile engineering or data science teams, where they participate in daily stand-ups, code reviews, and collaborative problem-solving sessions. This structure ensures that interns gain hands-on experience, receive mentorship from experienced professionals, and have opportunities to present their work, making the internship both impactful and a strong learning experience.

What is a Databricks internship?

A Databricks internship is a temporary position offered to students or recent graduates to gain hands-on experience working with Databricks, a company specializing in data analytics and artificial intelligence. Interns typically work on real-world projects involving big data, cloud computing, and collaborative analytics using the Databricks Unified Analytics Platform. The internship provides opportunities to learn from industry experts, develop technical skills, and contribute to innovative solutions. Interns also gain exposure to Databricks' company culture and may have the opportunity to transition to a full-time role after completion.
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Databricks Internship jobs near you
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 7 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.

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