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Project Engineering Intern

POSITION OVERVIEW:

 

Fortera is seeking two detail-oriented Project Engineering Interns to support project engineering and enterprise information management initiatives. This internship contributes to a strategic initiative focused on evaluating and preparing enterprise project data to enable the development of an enterprise data lake and AI-enabled information interface.

The intern will work closely with project engineers, project managers, and digital transformation leaders to review and organize technical documentation, assess data quality and structure, and support the development of standardized information workflows. The work helps ensure project and engineering data can be efficiently aggregated, structured, and leveraged to support advanced analytics and AI-driven decision-making across the enterprise.

This internship program is designed for students who will continue their academic studies following the internship and are seeking hands-on experience contributing to real-world engineering and digital transformation projects.

 

RESPONSIBILITIES:

  • Review and evaluate engineering and project documentation to identify data sources, formats, and structure
  • Support the assessment and preparation of enterprise project data for integration into a centralized data lake architecture
  • Assist in organizing and structuring technical information to improve accessibility, traceability, and consistency across projects
  • Collaborate with project engineers and project managers to map existing information workflows and identify opportunities for improvement
  • Contribute to the development of standardized data structures, naming conventions, and documentation practices
  • Support initiatives to improve information governance, data quality, and metadata documentation
  • Assist in preparing documentation and process guides to support long-term adoption of improved data management practices

 

LEARNING OPPORTUNITIES:

  • Exposure to enterprise data architecture, data lakes, and AI-driven information systems
  • Experience working with engineering documentation, project information systems, and digital transformation initiatives
  • Participation in cross-functional collaboration between engineering, project management, and data strategy teams
  • Practical experience in data organization, information governance, and process improvement within an engineering environment

 

MINIMUM QUALIFICATIONS:

  • 3+ years of study in Engineering (Civil, Mechanical, Electrical, Chemical, Industrial, or similar technical discipline) by the start of the internship
  • Internship eligibility: Candidates must be actively enrolled in an academic program at the start of the internship and have at least one academic term (quarter or semester) remaining following the internship period
  • Strong interest in project systems, technical workflows, and process improvement
  • Ability to understand, evaluate, and organize technical engineering information and project deliverables
  • Problem-solving mindset with curiosity and interest in operational efficiency
  • Ability to translate technical information into clear documentation
  • Team-oriented with strong organizational skills
  • Proficiency in Microsoft Excel and experience with structured data analysis

 

PREFERRED QUALIFICATIONS:

  • Experience or coursework in project management, systems engineering, or quality management
  • Experience with document management systems or project information systems
  • Candidates with both an MBA and an Engineering degree (completed or in progress)