Data Engineer Intern (Summer 2026)

CloudflareSan Francisco, CA
1dOnsite

About The Position

This internship is targeting students with experience and interest in Data Engineering. The Data Engineer Intern delivers full-stack data solutions across the entire data processing pipeline. This role relies on systems engineering principles to design and implement solutions that span the data lifecycle - collect, ingest, process, store, persist, access, and deliver data at scale and at speed. It includes knowledge of local, distributed, and cloud-based technologies, data virtualization, and all security and authentication mechanisms required to protect the data.

Requirements

  • Currently enrolled in M.S in Computer Science, Engineering or related STEM field
  • Experience working with Go, Python, SQL, Java, or equivalent programming languages
  • Experience working with distributed systems (Spark etc.)
  • Hands-on experience in data pipelines/ frameworks development
  • Ability and interest to learn new skills and technologies quickly
  • Excellent communication and problem-solving skills
  • Ability to commit to a 12 week summer internship
  • In office 3-4 days a week in Austin, TX

Nice To Haves

  • Familiarity with container based deployments such as Docker and Kubernetes
  • Experience with JavaScript, Typescript, and React

Responsibilities

  • Work through all stages of a data solution lifecycle – analyze / profile data, create conceptual, logical and physical data model designs, architect and design ETL, reporting and analytics
  • Knowledge of modern enterprise data architectures, design patterns, and data tool sets and the ability to apply them
  • Identify key metrics and build exec-facing dashboards to track progress of the business and its highest priority initiatives
  • Identify key business levers, establish cause & effect, perform analysis, and communicate key findings to various stakeholders to facilitate data driven decision-making
  • Work closely across the business teams like Finance, Sales, Marketing, Legal, Customer Support, Product, Engineering
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