Data Engineer Intern

## Job Summary As the Data Engineering Intern, you will write Python code to build and maintain ETL/ELT pipelines in Databricks notebooks. ## Job Description We are looking for a Data Engineering Intern. This role is a full-time internship and is remote. This internship is a full-time opportunity requiring a commitment of 40 hours per week and will run from June 7, 2027 through August 6, 2027. Candidates must be available during core business hours for the entire 9-week duration of the program. Please note that all work must be performed within the United States. ## What You'll Do - Write Python code to build and maintain ETL/ELT pipelines in Databricks notebooks - Develop data transformations using Apache Spark, Delta Lake, and SQL - Collaborate with data engineers and analysts to understand data requirements and deliver scalable solutions - Create and optimize Databricks jobs to process data at scale - Write unit tests and validation logic to ensure data quality and pipeline reliability - Document code, workflows, and technical decisions to support team knowledge sharing - Participate in code reviews and contribute to improving data engineering practices - Troubleshoot data issues and optimize pipeline performance - Learn and apply best practices for building production-grade data platforms ## What You'll Need Required: - Pursuing a degree in Computer Science, Data Science, Engineering, or a related field - Current Junior with a 3.5 GPA or higher - Strong Python programming skills with ability to write clean, maintainable code - Understanding of SQL and relational data concepts - Problem-solving mindset with attention to detail - Ability to work independently and ask for help when neededPreferred: - Experience with Apache Spark or PySpark - Familiarity with Git and version control workflows - Knowledge of ETL/ELT concepts and data pipeline design - Exposure to Databricks, cloud platforms (AWS/Azure), or similar data engineering tools - Familiarity with SQL notebooks or Jupyter notebooks - Experience with testing frameworks or CI/CD concepts