Job Description
Are you looking for an internship to jumpstart your career?
Key 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
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
- 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
- Location: Redwood City, CA. We have a hybrid office work set up.
- Hourly pay: $25-$30 per hour
- At SB Energy, the success of our projects is driven by a desire to see our projects benefit as many people as possible. We work to serve local communities through volunteering, fundraising, and much more. For example, we’re proud to support access and opportunity in engineering and clean energy through impactful mentorship programs and workforce training. When you join SB Energy, you can become a part of these efforts, collaborating with team members who share a vision of building a better future now!
- To learn more about us, visit www.sbenergy.com .
- #LI-ONSITE
- #LI-AM1
Benefits & Perks
- 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
- We’re seeking a highly motivated undergraduate Data Engineering & AI Enablement Intern to lead the migration and modernization of operational time-series data across our organization. You’ll work closely with our IT and Data teams to migrate data from our Canary Historian system into Azure Blob Storage, enabling a scalable, cost-efficient, and future-ready data platform. In parallel, you will help design how this data is exposed to SB Energy’s internal AI chatbot, enabling users to query and retrieve time-series data through natural language. This role requires comfort working in ambiguous environments and the ability to translate open-ended problems into structured, scalable solutions. This is a hands-on, high-impact role where you will take ownership of a defined problem space—from data ingestion and transformation to enabling AI-driven access—while working with modern cloud and data technologies.
Ready to Apply?
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