ABOUT SUPERIOR ENERGY
Superior Energy Inc. is a premier developer of distributed infrastructure across Ontario, specializing in distributed solar power generation, battery energy storage systems (BESS), and small-scale data centers. We are at the forefront of Ontario's clean energy transition, identifying and developing high-value sites that contribute to a more resilient, clean, and sustainable grid. Our team combines deep expertise in energy project development, land acquisition, regulatory navigation, and geospatial analysis to deliver impactful infrastructure assets at scale.
ROLE SUMMARY
We are seeking a highly motivated Engineering or Planning student to join our team as a GIS & Infrastructure Analyst Intern. In this role, you will play a central part in building the geospatial intelligence that drives our commercial land acquisition strategy across the province. Working directly with our development leadership, you will compile, clean, validate, and synthesize large municipal and provincial datasets. Your primary focus will be engineering an integrative analytical model to screen and identify optimal sites for 20+ MW distributed solar and storage deployment near substations with available network capacity. This is a hands-on, high-impact role providing direct exposure to technical engineering constraints, macro energy markets, and project developer decisions.
PRIMARY OBJECTIVE
Design and deliver a comprehensive geospatial database and multi-criteria siting model for Ontario that systematically evaluates candidate land parcels (ranging from 5 to 200 buildable acres) across multiple analytical dimensions, including:
- Electrical Interconnection: Grid proximity, circuit voltage constraints (27.6 kV and 44 kV feeders), and transformer substation capacity.
- Zoning & Land Use: Municipal land use zoning, agricultural classifications, and provincial policy frameworks.
- Environmental Constraints: Natural heritage features, hydrology, and protected ecological areas.
- Physical Viability: Buildable area continuity, topography, slope analysis, and site road accessibility.
KEY RESPONSIBILITIES
- Compile, clean, filter, and verify geospatial layers from municipal, provincial (including IESO data), and federal repositories.
- Maintain, update, and systematically structure a high-hygiene GIS database containing land parcel metrics and infrastructure attributes.
- Develop custom spatial workflows, map layers, and processing tools to accelerate early-stage engineering due diligence.
- Research development and permitting requirements across various Ontario municipalities and provincial jurisdictions.
- Liaise directly with municipal and provincial permitting authorities to validate official plan policies and land use permissions.
- Integrate Python scripts and modern data tools to automate spatial data workflows and enhance analytical modeling efficiency.
- Prepare professional maps, clear data summaries, and executive presentations to communicate siting options to development leads.
QUALIFICATIONS & COMPETENCIES
- Education: Currently enrolled in an Engineering program (Electrical, Energy Systems, or related discipline) OR an Urban/Regional Planning program (Land Use Planning, Geography, Environmental Planning, or related discipline).
- Technical Foundations: Solid conceptual understanding of electrical utility infrastructure, grid networks, and electrical power system configurations.
- Planning Literacy: Working knowledge of land use planning concepts, municipal official plans, and environmental site assessment logic.
- Software Proficiency: Intermediate to advanced practical skills using desktop GIS software tools (ArcGIS, QGIS, or equivalent).
- Automation: Competency or strong foundational knowledge in Python coding applied to data processing, alongside comfort leveraging modern AI/ML text and code tools.
- Professional Skills: Highly detail-oriented with strict standards for database organization and data hygiene; confident verbal and written communicator comfortable engaging with regulatory frameworks.
Pay: $22.50 per hour
Work Location: Remote
