The posting
Apply early for priority consideration. Gallup has limited openings for this internship, and the position will be filled quickly.
As a data engineering intern at Gallup, you’ll help build and modernize the data tools, infrastructure and pipelines that enable teams to work with data at scale. Alongside experienced technical leaders, you’ll put your Python and SQL skills to work on meaningful projects while learning best practices, experimenting with modern tools and seeing firsthand how strong data engineering supports better decisions.
What You’ll Do
During your internship, you will:
- Build foundational data tooling and infrastructure designed to scale as the volume and frequency of data 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 from senior technical leaders who will mentor you on engineering practices, tools and approaches
- 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 your work
What You Need
- Enrollment in an associate, bachelor’s or graduate degree program in computer science, data engineering, information systems, statistics, math or a related field required
- Classroom or work experience writing SQL required, including joins, aggregations and troubleshooting query performance
- Classroom or work experience coding in Python for data processing, scripting or automation required
- Working knowledge of relational database and data modeling concepts, including schema design and dimensional or star-schema modeling, required
- Comfort using AI tools such as Claude, Claude Code or GitHub Copilot to support high-quality, efficient work required
- Understanding of ETL/ELT concepts and how data are moved, transformed and validated between source systems and a warehouse preferred
- Familiarity with cloud data platforms and warehouses (e.g., AWS, Snowflake, Redshift) preferred
- Exposure to pipeline orchestration or transformation tooling such as Apache Airflow, dbt or Apache Spark preferred
- Familiarity with version control and collaborative development using Git or GitHub preferred
- Enrollment at a college or university within an 80-mile radius of San Francisco, California, required
- Anticipated graduation between August 2027 and May 2028 preferred
- Availability to work 40 hours per week for 12 weeks during the summer of 2027 required
- A commitment to working on-site at Gallup’s San Francisco office Monday through Thursday required, with the option to work remotely on Friday
- Eligibility to work in the United States required; this position is not eligible for employment visa sponsorship
What We Offer
- A full-time summer 2027 internship that pays $45 to $50 per hour
- The potential to work up to 20 hours per week during the school year, depending on business demands
- The potential for a full-time job offer upon graduation, based on Gallup’s business needs and intern performance
What You’ll Experience
- Mission-driven work: Make a meaningful difference in the world through work that applies science and technology to important human and organizational problems.
- An empowering culture: Collaborate with smart, passionate people who welcome your ideas, perspectives and technical judgment.
- Learning and development: Grow your skills through hands-on research, experimentation and exposure to AI systems, extensive data and engineering challenges.
- Room to challenge assumptions: Work in an environment where curiosity, rigorous thinking and questioning existing approaches are expected.
- Brand strength, startup energy: Work on emerging technology in a fast-moving environment backed by Gallup’s research, science and global brand.
- A vibrant workplace: Work from Gallup’s San Francisco office in the heart of the Financial District, steps from the Embarcadero and public transit.
Our teams produce great work together, inspire each other to deliver exceptional outcomes, grow their potential and celebrate each other along the way. Learn more about our work and life at Gallup.
Gallup is an equal opportunity employer. We consider all qualified applicants without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender identity, or any other legally protected basis, in accordance with applicable law.
To review Gallup’s Privacy Statement, please click this link: https://www.gallup.com/privacy. This privacy policy is meant to help you understand what information we collect, why we collect it, and how you can update, manage and delete your information. Your application and the information you provide will be processed and stored in the United States.
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