About the role#
As a Data Engineer Intern, you will work with experienced engineers and architects to build scalable data products and cloud-native pipelines. You will support enterprise-scale data platforms that inform operations, merchandising, and AI initiatives across thousands of stores. This role provides hands-on experience with modern data engineering practices and cloud technologies.
What you'll do#
- Design, develop, and support scalable data pipelines and integration solutions.
- Build data engineering solutions using Python, SQL, PySpark, and cloud technologies.
- Develop and maintain data products for analytics, reporting, and AI use cases.
- Contribute to enterprise platforms built on Databricks, Apache Spark, and Lakehouse architectures.
- Implement data quality, monitoring, testing, and observability capabilities.
- Participate in AI-assisted software development using enterprise tools.
- Collaborate with Data Scientists, Architects, and Product Managers to deliver solutions.
- Apply software engineering practices including source control, code reviews, CI/CD, and automated testing.
- Improve data processing performance, scalability, and cost efficiency.
- Participate in Agile activities like sprint planning, stand-ups, and retrospectives.
What you'll need#
- Current pursuit of a Bachelor's or Master's degree in Computer Science, Data Science, Computer Engineering, Software Engineering, Information Systems, Mathematics, Statistics, or a related technical field.
- Experience with Python, Java, Scala, or another modern programming language.
- Foundational knowledge of SQL, relational databases, and data structures.
- Strong analytical, problem-solving, and debugging skills.
- Excellent communication and organizational skills.
- Ability to learn quickly and thrive in a team environment.
- Hands-on experience through coursework, internships, research, personal projects, or open-source contributions.
- Familiarity with cloud platforms like Azure, AWS, or Google Cloud Platform.
- Exposure to Databricks, Apache Spark, Delta Lake, Airflow, dbt, or Snowflake.
- Experience using Git and modern development tools.
- Understanding of Agile methodologies and CI/CD practices.
- Interest in Data Engineering, Artificial Intelligence, Machine Learning, or Analytics Engineering.
- Proficiency in Microsoft Office, including Excel and PowerPoint.
Location & details#
- Location: Irving, Texas
- Term: Summer 2027
- Modality: On-site
- Employment Type: Full-time
- This is a paid internship.
About 7-Eleven
7-Eleven operates as a retail company focused on convenience goods. It started in 1927 at an ice dock in Dallas, Texas. The company now runs over 70,000 locations across 18 countries. It maintains a workforce of more than 10,000 employees.
How to get in at 7-Eleven
Securing an internship at 7-Eleven requires speed because early applicants are often reviewed before the volume of candidates becomes unmanageable. Intern Insider sends an instant alert the moment a role matching your target is published, which helps you apply among the first. This timing often makes the difference in getting your resume seen by the hiring team. You can also improve your response rates by reaching out to the recruiters behind these roles directly. Intern Insider surfaces the specific recruiters managing 7-Eleven openings so you can ask informed questions or request a referral. This direct approach often yields better results than submitting an application into a general queue.
