Data Engineering & AI Enablement Intern 2026

3M HEALTHCARE; San Francisco (CA); Hybrid; USD 34,440 - 41,328; Part time

Job summary

SB Energy in Redwood City, CA offers a hands-on internship program focused on data engineering and AI enablement. You will migrate time-series data from Canary Historian to Azure Blob Storage and help design AI-driven data access for internal chatbots.

The role requires current study in CS/Data Science/Engineering, strong Python skills, and experience with data tools. Hybrid office setup with hourly pay awaits successful candidates.

Qualifications

• Pursuing a Bachelor's degree in CS/Data Science/Engineering/Math or related field.
• Strong programming skills in Python.
• Experience with data (Pandas/SQL).
• Solid understanding of data structures and system design fundamentals.

Responsibilities

• Analyze time-series data in the Canary Historian.
• Design scalable data migration pipeline to Azure Blob Storage.
• Transform data for efficient storage and cost optimization.
• Define data schemas and storage formats (e.g., Parquet).
• Validate data integrity during migration.
• Build AI chatbot data access mechanisms (APIs, query layers).
• Collaborate with IT and Data Science teams.
• Evaluate architecture trade-offs for performance and cost.
• Document designs and best practices.
• Present solutions and business impact to stakeholders.

Skills

Python programming

Data handling

Problem solving

Education

Bachelor’s degree in Computer Science, Data Science, Engineering, Mathematics, or related field

Tools

Python

Pandas

SQL

Job description

Do you want to work with high caliber professionals in a dynamic and growing company? Are you entrepreneurial, hard‑working, and collegial? Join us at SB Energy, a leading company backed by SoftBank and Ares pairing cutting‑edge innovation with best‑in‑class execution. Our Mission is to provide reliable, affordable energy at scale to support America’s growing energy demands.

Headquartered in Redwood City, CA, SB Energy develops, builds, owns & operates some of the largest and most technically advanced energy and data center infrastructure projects in the United States. Since launching in 2019, the company has rapidly grown into a top‑tier integrated platform with over 3 gigawatts (GW) in operation and a multi‑GW pipeline of energy and data center infrastructure nationwide. SB Energy also utilizes its strong culture of innovation to identify and incorporate new technology into our projects, including our AI‑based digital platform, to deliver energy infrastructure that is local, reliable, and matched to load. We are building the energy and technology future—today.

Summer Internships at SB Energy

Are you looking for an internship to jumpstart your career? If so, you have come to the right place! SB Energy has many exciting internship opportunities. We are currently searching for students or alumni interested in gaining hands‑on experience at a fast‑paced and innovative energy and digital infrastructure company. Our mission is to deliver reliable and secure data center and power infrastructure to strengthen America’s future. Our internships have a specific focus, but often get broader exposure to SB Energy's business, gaining insight into different areas of the company and the energy and data center industry.

Benefits Of a SB Energy Internship

• Apply skills and knowledge learned in the classroom to on‑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.

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

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

• 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

SB Energy is built on a foundation of collaboration and inclusion. We are proud to be an equal‑opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.

To learn more about us, visit www.sbenergy.com.