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IT Data Engineering Intern

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Databricks

22d ago

Applications are closed

  • Internship
    Full-time
    Off-cycle Internship
  • Data
    IT & Cybersecurity
  • Mountain View

Requirements

  • You will graduate in Fall 2024 or Spring 2025 with a degree in Computer Science, Engineering or Information Systems.
  • You have implementation skills with programming language such as Python, Java, or C++ and querying language such as SQL.
  • You have good knowledge of algorithms, data structures and OOP principles; experience with distributed computing and data science is a plus.
  • You are excited to solve ambiguous problems with a collaborative team.
  • You are excited to solve unique business problems and participate in a collaborative team environment.

Responsibilities

  • As a Data Engineering Intern of the IT Data team, you will build and deliver data solutions and products to influence decision-making for our business teams. You will use the best practices of data engineering and analytics to build scalable and data pipelines and data products. As a data engineer, you get a close understanding of how a hyper growth company utilizes Data and AI to drive business innovation and efficiency.
  • The impact you will have:
  • Work with the IT Data team to roll out new data driven capabilities to help business teams such as HR, Finance and Sales.
  • Participate in full Development Lifecycle: design, development, testing, optimization, documentation and operations in production environment.
  • Build data pipelines, solutions and products with a high degree of reliability, scalability and security.

Technology
Industry
1001-5000
Employees
2013
Founded Year

Mission & Purpose

Databricks is the data and AI company. More than 9,000 organizations worldwide — including Comcast, Condé Nast, H&M, and over 40% of the Fortune 500 — rely on the Databricks Lakehouse Platform to unify their data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe. Founded by the original creators of Apache Spark™, Delta Lake and MLflow, Databricks is on a mission to help data teams solve the world’s toughest problems. Attention: Databricks applicants Due to reports of phishing, we’re requesting that all Databricks applicants apply through our official Careers page at databricks.com/company/careers (good news — you are here). All official communication from Databricks will come from email addresses ending with @databricks.com or @goodtime.io (our meeting tool).