Data Engineering Intern — Summer 2027

Gallup • San Francisco, CA

2d • Hybrid

About The Position

Gallup is hiring a Data Engineering Intern for summer 2027 to help build and modernize the data tools, infrastructure and pipelines that enable teams to work with data at scale. Working alongside experienced technical leaders, the intern will use Python and SQL on meaningful projects, learn engineering best practices, experiment with modern tools and see how data engineering supports better decisions. The position includes mentorship from senior technical leaders and collaboration with engineers and stakeholders.

This is a full-time, 12-week summer internship paying $45 to $50 per hour. The intern must be available to work 40 hours per week and work onsite at Gallup’s San Francisco office Monday through Thursday, with the option to work remotely on Friday. Depending on business demands, there may be an opportunity to work up to 20 hours per week during the school year. A full-time job offer upon graduation is possible, based on business needs and intern performance.

Requirements

• Enrollment in an associate, bachelor’s or graduate degree program in computer science, data engineering, information systems, statistics, math or a related field.
• Classroom or work experience writing SQL, including joins, aggregations and troubleshooting query performance.
• Classroom or work experience coding in Python for data processing, scripting or automation.
• Working knowledge of relational database and data modeling concepts, including schema design and dimensional or star-schema modeling.
• Comfort using AI tools such as Claude, Claude Code or GitHub Copilot to support high-quality, efficient work.
• Enrollment at a college or university within an 80-mile radius of San Francisco, California.
• Availability to work 40 hours per week for 12 weeks during summer 2027.
• Commitment to working onsite at Gallup’s San Francisco office Monday through Thursday, with the option to work remotely on Friday.
• Eligibility to work in the United States; this position is not eligible for employment visa sponsorship.

Nice To Haves

• Understanding of ETL/ELT concepts and how data are moved, transformed and validated between source systems and a warehouse.
• Familiarity with cloud data platforms and warehouses, such as AWS, Snowflake or Redshift.
• Exposure to pipeline orchestration or transformation tools such as Apache Airflow, dbt or Apache Spark.
• Familiarity with version control and collaborative development using Git or GitHub.
• Anticipated graduation between August 2027 and May 2028.

Responsibilities

• Build foundational data tooling and infrastructure designed to scale as data volume and frequency grow.
• Help modernize legacy data pipelines using Python, SQL and Gallup’s evolving data platform.
• Troubleshoot data quality issues in large, imperfect datasets.
• Apply data engineering practices to move, transform and validate data across systems.
• Help build reliable, efficient data workflows.
• Learn engineering practices, tools and approaches from senior technical leaders.
• Collaborate with engineers and interact directly with stakeholders to understand needs and deliver useful solutions.
• Use AI-enabled development tools to improve the quality and efficiency of work.

Benefits

• Full-time summer 2027 internship paying $45 to $50 per hour.
• Potential to work up to 20 hours per week during the school year, depending on business demands.
• Potential for a full-time job offer upon graduation, based on Gallup’s business needs and intern performance.
• Mentorship and hands-on learning, experimentation and exposure to AI systems, extensive data and engineering challenges.
• Mission-driven work applying science and technology to human and organizational problems.
• Collaborative, empowering culture that welcomes ideas, perspectives and technical judgment.
• Opportunity to work on emerging technology in a fast-moving environment backed by Gallup’s research, science and global brand.

What This Job Offers

• Job Type: Full-time
• Career Level: Intern
• Education Level: No Education Listed