Data Engineering & AI Enablement Intern 2026

SB Energy • San Francisco, CA

1d • Hybrid

About The Position

SB Energy is seeking a highly motivated undergraduate Data Engineering & AI Enablement Intern for Summer 2026. This internship focuses on migrating and modernizing operational time-series data, specifically moving data from the Canary Historian system into Azure Blob Storage. The goal is to enable a scalable, cost-efficient, and future-ready data platform. Additionally, the intern will help design how this data is exposed to SB Energy’s internal AI chatbot, allowing users to query time-series data through natural language. This role requires comfort in ambiguous environments, the ability to translate open-ended problems into structured solutions, and hands-on experience with modern cloud and data technologies. The intern will take ownership of a defined problem space, from data ingestion and transformation to enabling AI-driven access.

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
• Hourly pay: $25-$30 per hour

What This Job Offers

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