As an EQT Intern, you will participate in a 12-week paid “real-world experience” internship program. Not only will you be involved in learning activities unique to your role, but you will learn and grow with #Qrew. If innovation and powering the future sounds exciting to you, we encourage you to apply!

The Production Services Intern will join EQT's Production Services team for a summer internship, gaining hands-on exposure to how the team manages and works with operational data. Working alongside the team's engineers, the intern will build foundational data engineering skills - SQL, Python, data engineering, and analytical concepts - while contributing to real, scoped project work that supports Production's day-to-day operations.

The Intern's responsibilities include but are not limited to:

• Assist with SQL queries and Python scripts that support Production Services data workflows.
• Support the team's engineers on scoped tasks across the data lifecycle: data pulls, validation, establishing source of record, 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.
• Under the guidance of a mentor, manage projects that include elements of process design, data structure design, and analytics
• Build relationships across Production Department and display a high level of customer service.
• Complete a defined summer project and present a summary of the work and what was learned at the end of the internship.
• Adhere to the department's Salesforce business processes and daily use

Required Experience and Skills:

• Currently pursuing an accredited Bachelor's Degree in Engineering
• Some coursework or self-directed experience in at least one programming language.
• 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).
• Interest in the oil & gas or energy industry.
• Exposure to cloud-based data platforms (Databricks, Azure, or similar).
• Coursework in databases, data structures, or statistics.