Data Engineering & AI Enablement Intern 2026 at SB Energy · San…

Summary: SB Energy is a leading company backed by SoftBank and Ares, focused on providing reliable and affordable energy solutions. They are seeking a highly motivated undergraduate Data Engineering & AI Enablement Intern to lead the migration and modernization of operational time-series data, working closely with IT and Data teams to enhance their data platform and AI chatbot capabilities. Responsibilities: - Analyze and understand time-series data stored in the Canary Historian system - Design and implement components of a scalable data migration pipeline to Azure Blob Storage - Transform and structure large datasets for efficient storage, query performance, and cost optimization - Define data schemas, partitioning strategies, and storage formats (e.g., Parquet) - Validate data integrity and ensure reliability throughout the migration process - Contribute to building mechanisms for AI chatbot access (e.g., APIs, query layers, or retrieval pipelines) - Collaborate with IT and Data Science teams to integrate data into downstream systems - Evaluate trade-offs between different architectural approaches (performance, cost, scalability) - Document technical designs, decisions, and best practices - Present technical solutions and business impact to stakeholders Required Qualifications: - Currently pursuing a Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, or related field - Strong programming skills in Python (or similar language) - Experience working with data (e.g., Pandas, SQL, or similar tools) - Solid understanding of data structures, algorithms, and system design fundamentals Preferred Qualifications: - Experience with cloud platforms (Azure, AWS, or GCP) - Familiarity with data pipelines, ETL/ELT concepts, or distributed systems - Experience working with large datasets or time-series data - Exposure to APIs, backend systems, or data access layers - Familiarity with AI/LLM applications or interest in AI-powered systems - Demonstrated ability to work independently and in a team environment Required Skills: Python, Pandas, SQL, Data structures, Algorithms, System design fundamentals, Azure Blob Storage, Data migration pipelines, Data schemas, Partitioning strategies, Parquet format, APIs, Cloud platforms, Time-series data, ETL/ELT concepts, Distributed systems, AI/LLM applications Internship Start Date: Start in 2026 Benefits: Comprehensive, value-added project(s), Work in teams and with cross-functional colleagues in a professional environment, Develop technical skills specific to your major, Gain opportunities for professional development by building relationships and learning from industry professionals in a live business environment, Final project summary presentation to the team