Data Engineer Intern

CopperPoint Insurance Companies is a leading provider of workers’ compensation and commercial insurance solutions. They are seeking a Data Engineering Intern to support the design, development, and optimization of scalable data pipelines and analytics platforms, providing hands-on experience in a corporate environment.

Responsibilities:

• Assist in building and maintaining data ingestion and transformation pipelines
• Work with structured and semi-structured data
• Support ETL / ELT workflows using SQL and Python
• Participate in data quality checks and validation
• Document data pipelines and schemas
• Support performance tuning and optimization
• Collaborating in Agile Execution

Requirements:

• A current college undergraduate pursuing a degree in Computer Science, Data Science, Information Systems, or a related field
• Proficient in SQL and comfortable writing queries to analyze and transform data
• Familiar with Python, including basic scripting and working with libraries such as Pandas
• Knowledgeable about ETL concepts and data pipeline workflows
• Experienced with version control tools, particularly Git
• Equipped with strong analytical and problem-solving skills
• Familiar with cloud platforms such as AWS, Azure, or GCP
• Experienced or eager to learn modern data platforms like Databricks and Snowflake
• Knowledgeable in distributed data processing using Spark or PySpark
• Exposed to workflow orchestration tools such as Airflow
• Comfortable working with and consuming REST APIs