Data Engineering Intern

Stride, Inc. is focused on empowering online education for students across the United States, and they are seeking a Data Engineering Intern. This role involves supporting the development and maintenance of scalable data pipelines and integrations, working collaboratively within a remote team to enable data-driven decision making for online K–12 learning and school operations.

Responsibilities:

• Assist in developing and maintaining data pipelines and integrations that support business processes and analytics use cases
• Support the design and implementation of data workflows, partnering with engineers and analysts to understand requirements and translate them into technical solutions
• Write and maintain clean, modular code in Python and SQL to support data ingestion, transformation, and integration tasks
• Assist in testing data pipelines, including unit testing and validation, to ensure data quality and reliability
• Support CI/CD processes by helping validate and deploy data solutions in development and staging environments
• Monitor data pipelines and assist in troubleshooting issues, identifying root causes, and implementing fixes
• Participate in agile ceremonies including sprint planning, standups, and reviews to support team collaboration and learning
• Document data processes, workflows, and technical solutions to support team knowledge sharing and maintainability

Requirements:

• Currently pursuing a Bachelor's degree in Computer Science, Data Engineering, Information Technology, or a related field
• Basic understanding of programming concepts, preferably in Python
• Familiarity with SQL and working with data in relational databases
• Foundational knowledge of data structures, data processing, or ETL concepts
• Strong problem-solving skills and willingness to learn new technologies
• Ability to work in a collaborative, team-oriented environment
• Strong verbal and written communication skills
• Proficiency in Microsoft Office Suite (Excel, Word, PowerPoint)
• Ability to work up to 40 hours per week during the internship duration
• Ability to clear required background check
• Exposure to cloud platforms such as AWS, Azure, or GCP through coursework or projects is preferred
• Coursework or project experience involving data pipelines, APIs, or cloud-based data tools
• Familiarity with version control systems such as Git
• Exposure to data warehousing concepts (e.g., Snowflake, Redshift, BigQuery)
• Interest in education technology and data-driven solutions