Data Engineering Intern: Pipelines, SQL & Python

APi Group; New Brighton, Northern (MN, KY); Hybrid; USD 26,000 - 37,000; Full time

Job summary

APi Group is seeking a Data Engineering Intern for a summer program in New Brighton, MN. You will build and maintain data pipelines using SQL, Python, and Databricks, gaining hands-on experience in enterprise data practices.

Work with teams to deliver quality datasets and documentation, learn data quality practices, and contribute to analytics and reporting via scalable data products. This internship emphasizes learning, collaboration, and building foundations for a career in data engineering.

Qualifications

• Currently pursuing a degree in Computer Science or related field.
• Experience using SQL and Python.
• Foundational understanding of data structures, transformation, and problem solving.

Responsibilities

• Assist with building, testing, and maintaining data pipelines and datasets.
• Use SQL and Python to integrate and transform source-system data.
• Support development of scalable enterprise data products for analytics and reporting.
• Perform data-quality checks, investigate issues, and document findings.
• Create or update technical documentation for pipelines, datasets, and recurring processes.
• Identify opportunities to automate manual data tasks and improve reliability.
• Build or enhance an assigned data pipeline or dataset using established team practices; complete testing and documentation that demonstrate data quality and maintainability; present the delivered solution, technical decisions, and recommended next steps to the team.

Skills

Problem solving

Communication

Curiosity

Education

Pursuing Bachelor's in Computer Science or related field

Tools

SQL

Python

Databricks

dbt

Job description

APi Group is seeking a Data Engineering Intern for a summer program in New Brighton, MN. You will build and maintain data pipelines using SQL, Python, and Databricks, gaining hands-on experience in enterprise data practices.

Work with teams to deliver quality datasets and documentation, learn data quality practices, and contribute to analytics and reporting via scalable data products. This internship emphasizes learning, collaboration, and building foundations for a career in data engineering.