Job Description
The internship involves leading data migration and modernization efforts for time-series data, designing scalable data pipelines, and enabling AI-driven data access within a dynamic energy and digital infrastructure company.
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 such as Parquet
- Validate data integrity and ensure reliability throughout the migration process
- Contribute to building mechanisms for AI chatbot access, including APIs and retrieval pipelines
- Collaborate with IT and Data Science teams to integrate data into downstream systems
- Evaluate architectural approaches for performance, cost, and scalability
- Document technical designs, decisions, and best practices
- Present technical solutions and their 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
- Ability to analyze and understand time-series data stored in the Canary Historian system
- Ability to design and implement components of a scalable data migration pipeline to Azure Blob Storage
- Experience transforming and structuring large datasets for efficient storage, query performance, and cost optimization
- Ability to define data schemas, partitioning strategies, and storage formats such as Parquet
- Experience validating data integrity and ensuring reliability throughout the migration process
- Ability to contribute to building mechanisms for AI chatbot access, e.g., APIs, query layers, or retrieval pipelines
- Experience collaborating with IT and Data Science teams to integrate data into downstream systems
- Ability to evaluate trade-offs between different architectural approaches considering performance, cost, and scalability
- Experience documenting technical designs, decisions, and best practices
- Ability to present technical solutions and business impact to stakeholders
- Location in Redwood City, CA, with a hybrid office work setup
Benefits & Perks
Hourly pay $25-$30 per hour
Hybrid office work setup in Redwood City, CA
Opportunities for professional development by building relationships and learning from industry professionals
Gain hands-on experience in a fast-paced and innovative energy and digital infrastructure company
Work on comprehensive, value-added projects
Develop technical skills specific to your major
Final project summary presentation to the team
Contribute to impactful community and workforce training initiatives
Ready to Apply?
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