This is a unique opportunity for a student who is passionate about data, enjoys solving problems with Python and SQL, and wants to explore the future of the modern data stack. Enrolled in a Bachelor’s or Master’s program in Computer Science, Data Engineering, Data Science, or a related field. Solid programming skills in Python. Good knowledge of SQL and interest in working with relational and analytical databases. Curiosity and willingness to learn modern data tools and infrastructure. Ability to work independently and commit ~15–20 hours per week during the semester (flexible around exams). Excellent communication skills.

experience with modern data engineering tools and practices while directly contributing to Tower’s platform and customer projects. You’ll collaborate with our engineering team on building, testing, and improving data pipelines, workflows, and integrations while learning what it takes to design reliable, scalable, and maintainable data systems. What we offer Build and test data pipelines in Python that integrate with real-world data sources. Work with SQL and analytics tools to model, transform, and validate data. Support customer-facing demos, prototypes, and internal analytics needs. Collaborate with engineers to develop and improve Tower’s internal data workflows and examples. Document, test, and share learnings to improve developer experience for other data engineers using Tower. Experiment with tools in the modern data stack (e.g., dbt, SQLMesh, Iceberg) and contribute to internal and external projects. How to apply