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Databricks Internship information

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.

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

Process Automation Intern, Marine Operations

OOCL USA Inc

South Jordan, UT • On-site

$14.50 - $19/hr

Temporary

Posted 27 days ago

Job description

Location: 10913 S River Front Pkwy, South Jordan, UT 84095

Schedule: In-office M-F 8:30AM-5PM; must be able to work at least 20 weekly hours
Duration: Minimum of 12 weeks (with potential extension based on project scope and business needs)
Department: Marine Operations (MAROPS)

Project: Planning Process Automation and Email Reduction


Who is OOCL: OOCL (Orient Overseas Container Line) is one of the world's largest integrated international container transportation and logistics companies. OOCL is well respected in the industry with a reputation for providing customer-focused solutions, a quality-through-excellence approach, and continual innovation. It is also an industry leader in the use of information technology and e-commerce to manage the entire cargo process.


The Project Overview: The Marine Operations (MAROPS) team is seeking a highly motivated Process Automation Intern to support planning process improvements and automation initiatives. This internship offers hands‑on exposure to real operational challenges, data analysis, and automation tools within the maritime/logistics industry. Interns will work on meaningful, project‑based assignments that directly contribute to operational efficiency and performance visibility.

In this internship, you will support a project focused on planning process automation and email reduction, specifically within the MOC (Marine Operations Center) environment. Many current workflows rely on ageing manual tools and fragmented reporting methods; you will help assess automation opportunities, streamline data collection, and enhance KPI visibility.


Key Responsibilities

  • Review existing MOC (Marine Operating Center) planning and reporting processes to identify automation opportunities
  • Support the modernization of legacy tools (5–10 years old) through automation or optimization
  • Assist in reducing manual email dependency by streamlining information intake and reporting methods
  • Help centralize KPI monitoring and performance reporting systems
  • Support data availability and accessibility for operational analysis and decision‑making
  • Collaborate with project sponsors and cross‑functional stakeholders to document findings and recommendations

Learning Outcomes

  • Exposure to real‑world marine operations and planning workflows
  • Hands‑on experience with automation tools and data platforms
  • Practical application of analytics, reporting, and process improvement concepts
  • Development of professional communication and stakeholder collaboration skills
  • Meaningful, non‑clerical project work
  • Real impact on operational efficiency and visibility
  • Professional mentorship and development
  • Experience within a global maritime and logistics organization

Requirements:

  • Currently pursuing a degree in a related field (e.g., Information Systems, Data Analytics, Engineering, Computer Science, Operations, or similar)

Seeking Experience or Familiarity With:

  • Microsoft Office Suite
  • Microsoft Power Platform (Power Automate, Power BI, etc.)
  • VBA
  • Python
  • Strong analytical and problem‑solving skills
  • Ability to work independently and manage project‑based tasks
  • Interest in process improvement, automation, and data‑driven decision‑making

Preferred Skills

  • Exposure to AI concepts or tools
  • Familiarity with Databricks and/or Microsoft Fabric
  • Curiosity and willingness to learn emerging technologies
  • Tools & Technology
  • Microsoft Office Suite
  • Microsoft Copilot
  • Power Automate

All employment is contingent upon the successful completion of a background check.


OOCL is an Equal Opportunity Employer and offers a diverse, inclusive, and equitable work environment. OOCL does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. For more information, we encourage you to visit us at www.oocl.com.