Data Engineer

Asbury Park, NJ

Based in Asbury Park, Solar Landscape is a leading full-service provider of community solar and solar energy solutions for the commercial/industrial, municipal, public school and non-profit marketplaces. The company employs more than 130 people and has more than 200 megawatts of solar energy projects completed or under construction. The company owns and operates one of the largest portfolios of community solar projects serving underserved, emerging communities in the U.S., delivering on its mission to expand environmental justice and improve energy equity on the frontlines of climate change.

Recently the company earned multiple recognitions from the U.S. Department of Energy for "Equitable Workforce Development" (Sunny Award) and "Inclusive Solar Outreach". In 2021 and 2022 Solar Landscape's projects were also named Project of the Year, a national recognition held each year by Solar Builder magazine.

Responsibilities

Design, develop, and maintain databases to store and manage company data, ensuring data integrity and security.
Utilize cloud platforms such as AWS, Azure, and Google Cloud for data storage and processing.
Develop custom applications using Python and JavaScript to support Sales and Operations teams in streamlining workflows and improving efficiency.
Perform GeoAnalytics to identify potential markets and opportunities for solar development projects.
Collaborate with cross-functional teams to ensure data-driven decision making across the organization.
Monitor and evaluate the performance of data models and algorithms, implementing improvements as necessary.
Stay up-to-date with the latest industry trends and technologies to ensure Solar Landscape remains competitive in the market.
Clearly communicate findings and insights to both technical and non-technical stakeholders.

Requirements

Bachelor's degree in Data Science, Computer Science, Engineering, or a related field.
Minimum 3 years of experience in data science, data engineering, or a similar role.
Proficiency in Python and JavaScript, with experience in developing custom applications.
Strong experience with cloud platforms such as AWS, Azure, or Google Cloud.
Knowledge of GeoAnalytics and GIS tools such as ArcGIS, QGIS, or similar.
Excellent problem-solving, analytical, and critical thinking skills.
Strong communication skills, with the ability to present complex information to diverse audiences.
A proactive, collaborative approach to work and a strong desire to contribute to the success of the company.