Data Engineering Intern - Flexible Schedule & Remote Options

Hubbardton Forge LLC; Castleton (VT); Hybrid; USD 28,000 - 30,000; Part time

Benefits offered by this job

Flexible scheduling

Skills development

Remote option with onsite training

Product discounts

Employee activities & events

Culture of respect and appreciation

Free coffee, fruit and oatmeal

Job summary

Hubbardton Forge LLC invites motivated students to join our Data Engineering Internship in Castleton. You will create and audit part lists, review dimensions and material details, and organize data for manufacturing reporting.

The role includes hands-on work with CAD/PDM tools and collaboration in a team-driven environment. Ideal candidates are pursuing engineering or data analytics with strong Excel skills, and a willingness to learn new technologies.

Qualifications

• HS diploma; pursuing degree in engineering, data analytics, supply chain or related field.
• Proficiency with MS Office applications, especially Excel.
• Experience with PDM, SolidWorks or CAD is a plus.
• Ability to learn new technology programs quickly.
• Self-motivated with responsibility and professionalism.
• Creative problem solving and teamwork.

Responsibilities

• Create, audit, and maintain structured lists of parts and raw materials needed to manufacture a product.
• Review each part for correct dimensions, status, material weight, mapping and ensure standardization for reporting.
• Organizing, updating, and properly archiving data relating to parts management.
• Input correct data for all parts and components and ensure accurate reporting.

Skills

Excel

PDM

SolidWorks

CAD

Learning new tech

Creative problem solving

Team environment

Education

HS Diploma

Engineering/Data analytics/Supply chain degree

Job description

Hubbardton Forge LLC invites motivated students to join our Data Engineering Internship in Castleton. You will create and audit part lists, review dimensions and material details, and organize data for manufacturing reporting.

The role includes hands-on work with CAD/PDM tools and collaboration in a team-driven environment. Ideal candidates are pursuing engineering or data analytics with strong Excel skills, and a willingness to learn new technologies.