About the position
Pattern Energy is a leading renewable energy company that develops, constructs, owns, and operates high-quality wind and solar generation, transmission, green fuels and energy storage facilities. Our mission is to transition the world to renewable energy through the sustainable development and responsible operation of facilities with respect for the environment, communities, and cultures where we have a presence. Our approach begins and ends with establishing trust, accountability, and transparency. Our company values of creative spirit, pride of ownership, follow-through, and a team-first attitude drive us to pursue our mission every day. Our culture supports our values by fostering innovative and critical thinking and a deep belief in living up to our promises. Headquartered in San Francisco, Pattern has a portfolio of 30 power facilities and transmission assets across North America, serving various customers that provide low-cost clean energy to millions of consumers.
Responsibilities
- Develop, maintain, and analyze input, output, and connection datasets between Pattern's internal capacity expansion and production cost modeling suite (WIS:dom).
- Create, manage, and analyze input and output data for/from executed model simulations using the WIS:dom suite of tools.
- Integrate large datasets into the modeling framework and validate input data for models, including energy demand, resource availability, market trends, and environmental constraints.
- Automate repetitive tasks and enhance existing workflows to improve input and output data for modeling accuracy and efficiency.
- Develop pipeline infrastructure between modeling tools to reduce the manual nature of model execution in coordination with the transition to the HIVE.
- Work with multidisciplinary teams to align model data requirements that simulate real-world conditions and objectives.
- Assist real-time environment products for operations that use different data structures to other ESP modeling tools.
Requirements
- Bachelor's and/or master's in electrical engineering, economics, mathematics, or a related quantitative field (data science or data engineering emphasis desired).
- 3-5 years of experience in energy trading, renewables development or energy industry forecasting/analytics/research.
- Familiarity with capacity expansion, production cost models, or energy-related software.
- Ability to work with datasets specific to energy systems, such as grid network models, load profiles, and pricing data.
- Strong knowledge of data wrangling and cleaning techniques, especially for time series, spatial, and network data.
- Excellent programming skills in common languages (e.g., Python) and packages used by energy modeling field (e.g., geopandas, numpy, networkx, pandas).
- Experience with extracting, transforming, and loading processes and tools for handling large-scale datasets.
- Demonstrated ability to develop and deploy Feature Engineering and Modeling applications to data platforms built on Databricks or similar platforms.
- Demonstrated experience in using Azure-based cloud applications, services and infrastructure or significant, transferrable experience with other Cloud Providers (e.g., AWS or GCP).
- Comfortable creating data visualizations and deploying them on a company-wide level.
- Implementation of storing system-level logs and responding to pipeline failures.
Nice-to-haves
- Preferred familiarity with cloud platforms and large dataset tools (e.g., Azure, Databricks, etc.).
- Ability to work with large datasets, ensuring data integrity and reliability.
- Strong problem-solving skills for complex energy scenarios.
- Clear and concise reporting of findings to stakeholders.
- Ability to explain technical concepts to non-technical audiences.
- Manage deadlines, coordinate with teams, and handle multiple modeling tasks.
Benefits
- Medical, dental, vision insurance
- Short and long-term disability
- Life insurance
- Voluntary benefits
- Family care benefits
- Employee assistance program
- Paid time off and bonding leave
- Paid holidays
- 401(k)/RRSP retirement savings plan with employer contribution
- Employee referral bonuses
