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.

Requirements

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).

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

data pipelinesdata processing workflowsdata transformationdata validationdata modelingPythonpandasPySparkmachine learninglarge language model

written communicationverbal communicationcollaborationstakeholder engagementdocumentation