Data Engineering & AI Intern — Modernize Time Series

Sb energy

San Francisco (CA)

Hybrid

USD 34,440 - 41,328

Part time

14 days+
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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

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.

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