Support Engineer

• Hybrid, Remote option for senior candidates; Duration: 12 months.
• Provide IT support to load forecasting processes by collecting and analyzing data (historical and actual weather, behind-the-meter (BTM) photovoltaic (PV) and load data).
• Use Python for data processing, automation, and visualization (Pandas, NumPy, Matplotlib).
• Assist in validating forecast outputs, calculating error metrics (e.g., MAPE, RMSE), and identifying process improvements.
• Maintain and troubleshoot load forecasting tools and associated applications.
• Collaborate with system operations and planning teams to ensure load forecasts meet operational needs.
• For senior roles: Oversee forecasting workflows and recommend process enhancements incorporating ML/AI insights.
• Integrate software solutions across multiple applications, systems, and databases.
• Follow Change Management and Software Development Life Cycle (SDLC) policies and procedures: Development of Functional Requirements, Develop Application Design, Build and Unit Test Software, Accept Vendor Software for Testing, Conduct Product Testing, and Perform Production Migration.
• Direct the installation of fixes, enhancements, and upgrades to supported systems.
• Meeting deadlines while maintaining high quality deliverables under changing requirements.
• End to end ownership of assigned tasks.

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