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. If innovation and powering the future sounds exciting to you, we encourage you to apply! 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.

Requirements

Must-haves

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.
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.
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.

Nice-to-haves

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

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

sqlpythonawsazure

Platform: greenhouse
Effort: quick

Benefits

Benefits detected in the listing.

Vision