Visa Data Engineering Intern, Global Data Office - Summer 2026 \\\| SmartRecruiters Google Chrome Microsoft Edge Apple Safari Mozilla Firefox . Data Engineering Intern, Global Data Office - Summer 2026 Intern Job Family Group: Corporate Services and Administration Company Description Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose to uplift everyone, everywhere by being the best way to pay and be paid. Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa. Job Description Visas Internship Program provides an immersive, 12-week journey where youll work on impactful projects that drive Visas mission forward. As a Visa intern, youll build valuable connections across the organization, sharpen your communication and business acumen, and gain hands-on experience in a dynamic, global environment. Throughout the program, youll have exclusive access to interactive workshops and learning sessions designed to deepen your expertise, expand your industry knowledge, and elevate your professional skillset. You wont just be learning, youll be contributing, collaborating, and innovating every step of the way. In addition to professional development, youll enjoy a variety of intern social events that foster community, connection, and fun throughout the summer The experience culminates in an exciting final presentation, where youll showcase your project achievements, share key insights, and present your recommendations to Visas leaders and stakeholders. This is your chance to demonstrate your business impact, highlight your personal growth, and align your work with Visas vision for the future. Team Description: With data being the fuel that drives our future - our strategies, policies, and business successes around data will define our future growth prospects.  Unlocking the value available through the innovative use of data on behalf of consumers, businesses, and communities is key to our future.  With our ongoing commitment to Visas Data Values and the responsible use of data, we at Visa have a bold vision to continue to grow and accelerate our data-related businesses and capabilities. Led by Visas Chief Data Officer, the Global Data Office coordinates high-impact, complex, company-wide projects related to data business strategy, critical investments, policy development, and marketplace execution.  Working closely with Visas Chief Privacy Officer, the Technology organization, the wider data community, and the full set of Visas global lines of business, the Global Data Office is evolving Visas data-related work with momentum and enthusiasm.  Driven by its commitment to trusted use of data, Visa is seeking enthusiastic leaders who are change-agents and passionate about the future of data around the world. The GDO Data Engineering team is looking for an intern to support with requirements and product ownership for different Data Products and Data Platforms.  As an intern, you will collaborate with cross-functional teams, including product leadership, technology, product operations, regional and global solutions, business intelligence, privacy, and governance, to enable high-quality data products and data platforms for multiple internal and external cases.  You will have the opportunity to help shape the future of product and platform capabilities and drive innovation at Visa. Responsibilities included, but limited to: Build and optimize Spark or Hive queries for both batch and interactive data processing on Hadoop. Develop and automate ETL pipelines using Apache Airflow to schedule, monitor, and manage dependencies and data flows across multiple systems. Support the integration of data sources and facilitate reporting solutions for business stakeholders utilizing Tableau and Power BI. Enhance and maintain existing data workflows, collaborating with operations and analytics teams to ensure reliable, high-performance data delivery. Troubleshoot issues related to data pipeline performance or job orchestration on Spark, Hadoop, and Airflow platforms. Qualifications Basic Qualifications: Pursuing a Bachelors or Masters degree in Computer Science, Data Science, Software Engineering, Information Systems, or related field graduating December 2026 August 2027 Strong communications skills, specifically, the absence of repeated grammatical or typographical errors, clear and concise written and spoken communications that demonstrate professional judgment. Preferred Qualifications: Proficiency in at least one programming language or technology including, but not limited, to SQL, Python & R. Hands-on experience with Hadoop, Spark, and Hive for large-scale data engineering in on-premises environments. Practical knowledge of ETL automation tools, especially Apache Airflow, and workflow orchestration principles for reliable and scalable data pipelines. Experience designing, developing, and delivering reporting and analytics solutions using Tableau or Power BI for end-user insights and business intelligence needs. Strong problem-solving abilities and troubleshooting skills across distributed computing systems and business intelligence platforms. Ability to leverage Generative AI (GenAI) tools (e.g., ChatGPT, GitHub Copilot, AI code assistants) to automate ETL script writing, generate documentation, accelerate error debugging, and support faster data quality assessments. Willingness and adaptability to experiment with new AI-powered techniques and cloud-native practices that improve productivity, data governance, and engineering efficiency Additional Information U.S. APPLICANTS ONLY: The estimated hourly range for a new hire into this position is $40/hr to $45/hr which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. Work Authorization: Visa will not sponsor applicants for work visas in connection with this position. Future sponsorship will not be considered. Work Hours: Varies upon the needs of the department This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager. Travel Requirements: This position requires travel5-10% of the time. Mental/Physical Requirements:This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law. Visa will consider for employment qualified applicants with criminal histories in a manner consistent with applicable local law, including the requirements of Article 49 of the San Francisco Police Code. I'm interested I'm interestedPrivacy NoticeCookies Settings I'm interested Refer a friend share this job Share on LinkedIn Share on Facebook Share on Twitter Share via email Share on Xing Share on WeChat Other jobs at Visa Taiwan Internship 2026 Taipei, Taiwan Software Engineering Intern Singapore, Singapore Cybersecurity Intern Singapore, Singapore Show all jobs Share to WeChat × Copy the link and open WeChat to share. Copy to clipboard Open WeChat Share to WeChat × Use Scan QR Code in WeChat and click ··· to share. Data Engineering Intern, Global Data Office - Summer 2026 Foster City, CA, USA Intern I'm interested I'm interested

Candidates should be pursuing a Bachelor's or Master's degree in Computer Science, Data Science, Software Engineering, Information Systems, or a related field, graduating between December 2026 and August 2027. Strong communication skills, characterized by clear, concise written and spoken communication with professional judgment and an absence of grammatical or typographical errors, are essential. Proficiency in at least one programming language such as SQL, Python, or R is preferred. Experience with Hadoop, Spark, and Hive for large-scale data engineering is also desirable. Practical knowledge of ETL automation tools like Apache Airflow and experience with reporting and analytics solutions using Tableau or Power BI are beneficial. The ability to leverage Generative AI tools for tasks such as automating ETL script writing, generating documentation, debugging errors, and supporting data quality assessments is a plus.