Data Science Engineer Intern, Dropbox

• You are a self-starter with a strong affinity for problem-solving, a solid foundation in programming and data concepts, and an eagerness to learn scalable, production-ready data systems
• You bring a curious, detail-oriented mindset and are excited to experiment with new tools, technologies, and engineering patterns
• Currently enrolled as an undergraduate (sophomore or above) or graduate student, with an expected graduation date of 2027 or later, majoring in Computer Science, Engineering, Information Systems, Data Engineering, or a related technical field
• Strong written and verbal communication skills, with the ability to explain technical concepts clearly and collaborate effectively with both technical and non-technical partners
• Familiarity with core data engineering concepts, including data ingestion, transformation, and storage workflows
• Good programming skills in Python, with experience using libraries commonly used for data processing and pipeline development (e.g., pandas, PySpark, or similar)

Desirable

• As a Dropbox Data Engineer Intern in the Customer Strategy Organization (CSO), you’ll be part of a top-notch learning experience working alongside experienced individuals from diverse backgrounds
• You’ll have a dedicated Dropboxer mentoring you every step of the way as you build foundational and practical data engineering skills
• Our goal is to create a robust and impactful learning experience
• You can expect to learn how modern data platforms and pipelines are designed, built, and operated to support analytics, data science, and business decision-making across our revenue, marketing, and product teams
• We're all about feedback, so anticipate continual guidance refining your approach
• And while you're forging your path, we're here to ensure you bond with like-minded interns, discover mentors, and lay the bricks for an expansive professional network
• We will work with you to accommodate your school end and start dates, culminating in a minimum of a 12-week long internship
• In this role, you will work with a wide range of data sources—including customer surveys, support tickets, call transcripts, and product usage data—to help design, build, and maintain reliable data pipelines and datasets
• You will gain hands-on experience with data ingestion, transformation, and quality validation
• Design, build, and maintain data pipelines that ingest and process structured and unstructured data sources such as surveys, support tickets, call transcripts, and product usage data
• Develop and experiment with scalable data processing workflows that support downstream analytics, machine learning, and large language model (LLM) use cases
• Transform, validate, and model large, multi-dimensional customer behavior and usage datasets to ensure they are reliable, well-structured, and analytics-ready
• Partner with data scientists, analysts, and business stakeholders to enable clear understanding and effective use of data through well-defined datasets, documentation, and data quality standards
• Document data pipelines, schemas, and engineering best practices, and share learnings within the team to help promote a strong, data-driven culture at Dropbox
• Collaborate proactively with stakeholders across Customer Experience and Success to understand business needs, translate requirements into technical data solutions, and support accurate and timely data delivery