Data Engineering Intern

About the Role

As a Data Engineering Intern at Gallup, you will contribute to building and modernizing data tools, infrastructure, and pipelines that enable teams to work with data at scale. You will collaborate with experienced technical leaders on meaningful projects, applying your skills in Python and SQL.

Key Responsibilities

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.

Requirements & Tech Stack

• 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.

Qualifications

• Full-time summer 2027 internship that pays $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.
• Mission-driven work.
• An empowering culture.
• Learning and development opportunities.
• Room to challenge assumptions.
• Brand strength, startup energy.
• A vibrant workplace in Gallup’s San Francisco office.