Data Engineering Intern

EQT Corporation; Canonsburg (Washington County); On-site; USD 28,000 - 36,000; Full time

Benefits offered by this job

Paid internship

Job summary

EQT Corporation invites applications for a Data Engineering Intern to join the Completions Services team for a 12-week paid summer internship, gaining hands-on experience with data workflows and operational data management. You will work with engineers to develop foundational data skills, including SQL, Python, and analytics concepts, on scoped projects.

The role emphasizes collaboration, learning, and documentation, with opportunities to present a final internship project and learn from

Qualifications

• Currently pursuing a Bachelor's degree in computer engineering, computer science & engineering, systems engineering, industrial engineering, data engineering or related field; rising sophomore or above.
• Some coursework or self-directed experience in Python or SQL.
• Strong problem-solving skills and eagerness to learn new tools.
• Team-oriented and comfortable taking feedback.

Responsibilities

• Assist with SQL queries and Python scripts supporting Completions data workflows.
• Support data lifecycle tasks: data pulls, validation, cleanup, and documentation.
• Follow coding, documentation, and data quality standards as part of the team.
• Contribute to light code review and testing under supervision.
• 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 learnings at internship end.

Skills

Python programming

SQL basics

Team collaboration

Problem solving

Education

Bachelor's degree in Computer Science/Engineering or related fields

Tools

Databricks

Notebooks

Job description

At EQT, you won't just do a job, you'll help shape our future. Through Transparent Leadership, you'll work alongside leaders who value collaboration and ensure every voice is heard. Through Connected Impact, you'll see how your work influences critical business decisions and drives value across our operations. Through Supported Growth, you'll have opportunities to expand your skills through cross‑functional collaboration, development opportunities, and career advancement.

Join our Qrew!

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.

The Data Engineering Intern will join EQT's Completions 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 Completions day‑to‑day operations.

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.

Selected incumbent will be placed into the position that best suits their abilities and experience level.

EQT Corporation and its subsidiaries is an Equal Opportunity Employer -- Disabilities/Veterans.