Design, build, and maintain data pipelines ingesting structured and unstructured data.
Develop scalable data processing workflows for analytics, ML, and LLM use cases.
Transform, validate, and model large customer datasets for analytics-ready data.
Partner with data scientists and stakeholders to define datasets and quality standards.
Document pipelines, schemas, and engineering practices; share learnings.
Collaborate with CS and Success to translate needs into data solutions.

🎯 Requirements

Undergrad (sophomore+) or grad student; graduation 2027+.
Strong written and verbal communication; teamwork.
Familiarity with data engineering concepts: ingestion, transformation, storage.
Proficient in Python; experience with pandas or PySpark.
SQL with large datasets; basic data modeling concepts.
Experience with data quality practices.

🎁 Benefits

US Pay Range: $7,500 USD.

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