Data Engineering Intern - Completions Services

## The Data Engineering Intern's responsibilities include but are not limited to: - 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. ## Required Experience and Skills: - 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. ## Preferred Experience and Skills: - Familiarity with basic SQL syntax (SELECT, JOIN, WHERE, GROUP BY). - Exposure to Python for scripting or data manipulation (e.g., pandas). - Interest in the oil & gas or energy industry. - Exposure to cloud-based data platforms (Databricks, Snowflake, AWS, Azure, or similar). - Coursework in databases, data structures, or statistics.