Data Engineering Intern

Assist with SQL queries and Python scripts that support Completions Services data workflows.

Support the team's engineers on scoped tasks across the data lifecycle: data pulls, validation, cleanup, and basic documentation.

Learn and follow the team's coding, documentation, and data quality standards.

Assist with light code review and testing on assigned tasks, under supervision.

Help document scripts, workflows, and data definitions for team reference.

Gain exposure to Databricks SQL and notebooks.

Support ad-hoc departmental data requests.

Complete a defined summer project and present a summary of the work and what was learned at the end of the internship.

Currently pursuing an accredited Bachelor's Degree in Computer Engineering, Computer Science and Engineering, Systems Engineering, Industrial Engineering, Data Engineering or a closely related field; rising sophomore standing or above.

Some coursework or self-directed experience in at least one programming language (Python preferred).

Basic exposure to SQL or relational databases (coursework, bootcamp, or personal projects are fine).

Strong problem-solving skills and eagerness to learn new tools.

Comfortable working in a team environment, asking questions, and taking feedback.

No professional work experience required.