Data Engineering & AI Enablement Intern 2026

SB Energy • San Francisco, CA

2d • Hybrid

About The Position

SB Energy is seeking a motivated undergraduate Data Engineering & AI Enablement Intern to lead the migration and modernization of operational time-series data. This role involves migrating data from Canary Historian to Azure Blob Storage and designing how this data is exposed to an AI chatbot for natural language querying. The intern will work with modern cloud and data technologies, taking ownership of data ingestion, transformation, and AI-driven access.

This internship offers hands-on experience in a fast-paced, innovative energy and digital infrastructure company. Interns will apply classroom knowledge, work on comprehensive projects, collaborate with cross-functional teams, develop technical skills, and gain professional development opportunities. The internship culminates in a final project summary presentation.

Requirements

• 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
• Demonstrated ability to work independently and in a team environment

Nice To Haves

• 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

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

Benefits

• Apply skills and knowledge learned in the classroom to on-the-job experiences
• 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

What This Job Offers

• Job Type: Full-time
• Career Level: Intern