Intern, Data Engineering
Core
Unlock value from Construction Management Tool (CMT) data for renewable energy projects by mapping data architecture, developing data catalogues, and identifying AI/ML use cases.
Role type
Undergraduate intern, Data Engineering & AI Strategy
Builds
Data architecture maps, structured data catalogues, AI opportunity roadmaps
Domain
Renewable energy (solar, wind, storage) / Construction Management
Deliverable
production ML models | product features | dashboards & analysis
Required skills
SQL, Python (pandas, numpy), data engineering concepts (schemas, ETL), ML workflows (feature engineering, model evaluation), data cataloguing, BI tools
Preferred skills
Cloud data platforms, energy/infrastructure data exposure
Responsibilities
Map CMT data model end-to-end; document data assets in a structured catalogue; query and profile data to surface patterns; identify and assess feasibility of AI/ML use cases; assess data landscape for ML readiness; collaborate with project managers and engineers
Seniority
Undergraduate intern
