Data Engineer Intern

Baynovation is hiring a Data Engineer Intern to join our team in San Jose, CA.

Join our innovative and fast-paced data team where you'll work closely with data scientists, analysts, and engineers to build data pipelines and infrastructure that power insights and products. In this role, you will gain hands-on experience designing scalable data systems, ensuring data quality, and optimizing data workflows. We’re excited for you to grow your skills and make an impact from day one.

• Currently enrolled full-time and pursuing a Bachelor's or Master’s degree in Computer Science, Data Engineering, Information Systems, or a related field
• Experience working with databases and data warehouses (e.g., AWS Redshift, Snowflake, PostgreSQL, etc.)
• Solid understanding of data structures, algorithms, and data modeling concepts
• Proficiency with at least one programming language used for data engineering (e.g., Python, Java, Scala, etc.)
• Familiarity with SQL for querying and transforming large datasets
• Understanding of version control systems (e.g., Git) and basic testing/debugging practices
• Currently enrolled full-time and pursuing a Bachelor's or Master’s degree in Computer Science, Data Engineering, Information Systems, or a related field
• Experience working with databases and data warehouses (e.g., AWS Redshift, Snowflake, PostgreSQL, etc.)
• Solid understanding of data structures, algorithms, and data modeling concepts
• Proficiency with at least one programming language used for data engineering (e.g., Python, Java, Scala, etc.)
• Familiarity with SQL for querying and transforming large datasets
• Understanding of version control systems (e.g., Git) and basic testing/debugging practices
• Collaborate with cross-functional teams to solve real-world data challenges and contribute to production-level solutions
• Design, build, and maintain efficient and scalable data pipelines
• Ensure data reliability, integrity, and consistency across internal systems
• Work on data ingestion, transformation, and storage tasks using cloud-based tools and platforms
• Write clean, testable, and well-documented code with guidance from your mentor, manager, and team
• Participate in all stages of the data engineering lifecycle including design reviews, code reviews, testing, and deployment