Electrical/Hardware Engineering Intern
Core
Building connected, end-to-end datasets and workflows to enable efficient R&D operations and decision-making.
Role type
Data Engineering Intern (R&D)
Builds
Connected datasets, repeatable data pipelines, and AI/ML-driven insight generation workflows.
Domain
R&D operations, Data Engineering, AI/ML
Deliverable
production ML models
Required skills
Python, SQL, Data analysis, Machine learning, Data integration, Data validation, Pipeline design
Preferred skills
Pipeline Pilot, GitHub Copilot, Data visualization
Technologies
Python, SQL, SQL Server, Pipeline Pilot, GitHub Copilot
Responsibilities
Design and build connected datasets and repeatable data pipelines for R&D applications; Integrate data from multiple sources and improve data-joining processes; Develop validation methods that improve data quality, consistency, and reliability; Create Python and SQL solutions that streamline engineering workflows; Apply AI and machine-learning methods to experimental data to identify patterns; Document technical solutions and process improvements.
Seniority
Intern