EQT Corporation

EQT Corporation

Data Engineering Intern

Canonsburg, PA · Intern · Internship

Sponsorship not specifiedDetected 1 day ago
PythonData StructuresCode ReviewSQLSnowflakeDatabricksAWSAzurePandasData EngineeringSystems EngineeringLeadershipCollaborationProblem Solving

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odds of building a lasting career here

37Risky
Cap-exempt (no lottery)0
Sponsors this role80
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70

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About the role

  • 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.
  • As an EQT Intern, you will participate in a 12-week paid "real-world experience" internship program.

Responsibilities

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

Requirements

  • 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

Skills

  • 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.
  • 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.
  • Preferred Experience and
  • 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.

Company info

  • 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.

This listing is sourced directly from EQT Corporation's careers page and normalized into a canonical job model.