Pay
$127K–$190K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 2,133 postings in the last year. Stated ranges, not salaries paid.
Data Engineering Intern
Canonsburg, PA
Live, first seen by us 47 days ago- Pay
- Pay not listedSimilar roles state $127K–$190K
- Work setting
- Not stated
- Employment
- Not stated
Before you apply
- New graduates
- For current students
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
What you’ll work on
Full postingAssist with SQL queries and Python scripts for Completions Services data workflows
Support engineers with data pulls, validation, cleanup, and basic documentation
Assist with light code review and testing on assigned tasks under supervision
Support ad-hoc departmental data requests
Complete a defined summer project and present the results
From the employer’s posting
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.
Assist with light code review and testing on assigned tasks, under supervision.
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.
Education & alternatives
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).
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Sep 19, 202647 days ago
- Recorded sightings
- 35
- Last seen by us
- Nov 5, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Time since we first saw it
Day 47
Similar jobs usually come down between day 6 and day 54.
At EQT, jobs usually come down by about day 49.
From 11,069 similar postings that came down, and 9 of EQT’s. Coming down is not always a hire.
EQT is hiring
2 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Hiring has slowed
- Takes jobs down at a usual pace
- 50% of open jobs were reposted
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- SQL
- AWS
- Azure
- Databricks
- Snowflake
- pandas
Where the posting names them
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:
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.
- 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).
- 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.
- Help document scripts, workflows, and data definitions for team reference. - Gain exposure to Databricks SQL and notebooks. - Support ad-hoc departmental data requests.
- 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.
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.
Your next step
Complete your application on job-boards.greenhouse.io. The employer’s form will show what is required.
Applying through Greenhouse
- No account needed: the form is one page, with an “Autofill my application” option that reads your resume.
- Greenhouse doesn’t read resumes over 2.5 MB, or details placed in a header, footer, text box, table or second column. The file still attaches, but a recruiter has to type you in by hand.
Already applied? Track this application
About EQT
- People
- About 1,523 in 2025, up 4% from the year before.Annual report (SEC Form 10-K)
- Company
- Listed as EQT.
- H-1B visas
- 2 approved for new hires in fiscal 2025.US Citizenship and Immigration Services
Demand for Data Engineer roles
New Data Engineer postings at the employers we follow are up 8% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
US government figures for database architects
- Median yearly pay, May 2025
- $139,500
- Expected change, 2025 to 2035
- 9.4% more jobsagainst 3.5% for all jobs
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
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.
Source details
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- Pay
No pay amount identified in the saved description.
- Location & working pattern
Canonsburg, PA
Working pattern and location restrictions need checking in the full posting.
- Work authorization
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