jobiwork
7 Eleven
From company careers site

Data Engineer Intern

Location
Irving, TX, USA
Work mode
On-site
Employment type
Full-time

Skills mentioned

  • Python
  • SQL
  • PySpark
  • Databricks
  • Apache Spark
  • Cloud platforms (Azure/AWS/GCP)
  • Data integration
  • Data quality & monitoring
  • CI/CD
  • Git
  • Scala/Java
  • Delta Lake/Airflow/dbt/Snowflake

Picked out of the job description automatically; check the full description for what the employer asks for.

About the job

7-Eleven is an iconic family of brands with over 86,000 locations, surpassing every retailer in the world. We revolutionize convenience, restaurants and fuel through cutting edge innovation — working hard to be the customer's first choice. 7-Eleven empowers our employees to 'activate awesome' and make a meaningful impact in their stores and communities every day. If you're ready to grow, lead and make a difference, come join our team and help shape the future of convenience.

We began as an original. We remain an Original at the top of the convenience industry. Our company invented the concept of convenience retailing. But we didn’t stop there. 7-Eleven® has captured the world with a proven willingness and ability to innovate. We were the first company in America to offer fresh-brewed to-go coffee. More than six million of our Slurpee® beverages have been sipped since 1966. And, to continuously stay ahead of the curve, we introduce more than 2,500+ new products each year.

With over 86,000 global locations, 7-Eleven Inc. is the world’s largest operator, franchiser and licensor of convenience stores and is also one of the nation’s largest independent gasoline retailers. The company continues to achieve operational accolades, win awards in franchising and drive innovation in retail in the mission to make life a little easier for our guests by being where they need us, when they need us.

Launch your career with real-world impact. Our Internship Program gives you the opportunity to build deep experience in a specific functional area while contributing to a meaningful business project. Build your professional network, learn directly from senior leaders, and gain a behind-the-scenes view of how the business works - bringing our strategy to life. With guidance from a dedicated coach and opportunities to connect across the organization, you will build valuable relationships, broaden your business perspective, and finish the summer by showcasing your work to functional leaders.

The paid internship takes place during Summer 2027. You will gain practical experience, grow your professional network, develop in-demand skills, and help shape the future of merchandising at the world’s largest convenience retailer.

At 7-Eleven, data powers everything from store operations and merchandising to customer engagement, supply chain optimization, artificial intelligence, and enterprise decision-making.

As a Data Engineer Intern, you will work alongside experienced engineers and architects to build scalable data products, cloud-native data pipelines, and modern data platforms that support thousands of stores and millions of customer interactions. This role provides hands-on experience with enterprise-scale data engineering, Databricks, cloud technologies, and AI-enabled development practices.

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 that enable 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.

Qualifications Required Qualifications

• 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.

  • 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.
  • 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.

What You'll Gain

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

If an hourly or salary range is included in this ad it represents the range 7-Eleven in good faith believes is the range of compensation for this role at the time of this posting. The Company may ultimately pay more or less than the posted range. This range is only applicable for jobs to be performed in this state. This range may be modified in the future. No amount is considered to be wages or compensation until such amount is earned, vested, and determinable under the terms and conditions of the applicable policies and plans. The amount and availability of any bonus, commission, long-term incentive compensation, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company’s sole discretion, consistent with the law.

For a general description of all benefits 7-Eleven is offering in the US for the position, please visit this link .

For a general description of all benefits 7-Eleven is offering in Canada for the position, please visit this link .

From 7 Eleven's careers page (Company careers page), checked 10 Nov 2026.

How to apply

  1. Select Apply on 7-eleven.com. It opens 7 Eleven's own application form in a new tab, run on Company careers page.
  2. Fill in the form and upload your résumé there. Jobiwork never sees your application.
  3. 7 Eleven will reply to you directly. No real employer asks you for money to apply.

Posted 10 Nov 2026 · checked 10 Nov 2026 · Report this job

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