Data Engineer Intern

7-Eleven•Irving, TX

About The Position

7-Eleven is hiring a Data Engineer Intern for its paid Summer 2027 internship program. The intern will work alongside experienced engineers and architects to build scalable data products, cloud-native data pipelines, and modern data platforms that support the company’s stores and customer interactions. The role offers hands-on experience with enterprise-scale data engineering, Databricks, cloud technologies, and AI-enabled development practices. The internship provides the opportunity to contribute to a meaningful business project, learn from senior leaders, build a professional network, and present work to functional leaders. Data engineering work supports areas including store operations, merchandising, customer engagement, supply chain optimization, artificial intelligence, and enterprise decision-making.

Requirements

  • Currently pursuing 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, collaboration, and organizational skills.
  • Demonstrated ability to learn quickly and thrive in a team-oriented environment.

Nice To Haves

  • Hands-on experience through coursework, internships, research, personal projects, or open-source contributions.
  • Familiarity with cloud platforms such as Azure, AWS, or Google Cloud Platform.
  • Exposure to Databricks, Apache Spark, Delta Lake, Airflow, dbt, Snowflake, or related technologies.
  • Experience using Git and modern software development tools.
  • Understanding of Agile development methodologies and CI/CD practices.
  • Interest in Data Engineering, Artificial Intelligence, Machine Learning, or Analytics Engineering.
  • Proficiency in Microsoft Office applications, including Excel and PowerPoint.

Responsibilities

  • Design, develop, and support scalable data pipelines and data integration solutions.
  • Build data engineering solutions using Python, SQL, PySpark, and modern cloud technologies.
  • Develop and maintain trusted data products for analytics, reporting, operational intelligence, and AI use cases.
  • Contribute to enterprise data platforms built on Databricks, Apache Spark, and Lakehouse architectures.
  • Implement data quality, monitoring, testing, and observability capabilities to improve data reliability.
  • Participate in AI-assisted software development using enterprise-approved AI tools.
  • Collaborate with Data Engineers, Architects, Data Scientists, Product Managers, and business stakeholders to deliver data solutions.
  • Apply software engineering best practices, including source control, code reviews, CI/CD, and automated testing.
  • Improve data processing performance, scalability, reliability, and cost efficiency.
  • Participate in Agile development activities, including sprint planning, stand-ups, design reviews, and retrospectives.

Benefits

  • Paid internship
  • Mentorship from experienced engineers, architects, and technology leaders
  • Hands-on experience with Databricks, Apache Spark, and modern Lakehouse architectures
  • Exposure to enterprise-scale data engineering and cloud platforms
  • Opportunities to work on real-world projects that deliver measurable business impact
  • Experience applying AI-assisted engineering practices in a modern technology organization
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