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Added 6 mins ago
Senior IDN Manager, US Sales - Endoscopy
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…to address patient needs across the continuum of care. The Senior IDN Manager plays a key role in defining and advancing Endoscopy’s Integrated Delivery Network (IDN) strategy, connecting…
Added 7 mins ago
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2027 Summer Intern: Software Engineer
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Added 2 hours ago
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Senior Systems Engineer
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Added 3 hours ago
Data Engineer Intern
7-Eleven
Irving, TX
…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…
Added 3 hours ago
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Senior Azure Virtual Desktop Engineer
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7-Eleven

Data Engineer Intern

Irving, TX, United States

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Job details

Posting language: English
Posted: Nov 10, 2026

Original job description

Data Engineer Intern

Apply Now (https://my7elevenhr.wd12.myworkdayjobs.com/Careers/job/SSC-Irving-TX/Data-Engineer-Intern_R26_6281/apply) Save Job

Job ID R26_6281 Address 3200 Hackberry Road, Irving, Texas, 75063, United States Location Irving, Texas

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.
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.

Preferred Qualifications

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 (https://oli.vi/vLxt8oUz) .

For a general description of all benefits 7-Eleven is offering in Canada for the position, please visit this link (https://oli.vi/sxR17vDU) .

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More about this job

Skills

Computer science
Computer engineering
Statistics
Python
Oracle Java
Scala
SQL
Problem solving
Debugging
Communication skills
Collaboration
Organizational skills
Research
Microsoft Azure
AWS
Google Cloud
Databricks
Apache Spark
Apache Airflow
dbt
Snowflake
Git
Software development tools
Agile development
CI/CD
Data engineering
Artificial intelligence
Machine learning
Google Analytics
Microsoft Office
Microsoft Excel
Microsoft PowerPoint
Compensation and benefits

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Work requirements

Jobs in the United States