Digital Solutions - Data Engineer

About Light Box

Light Box is the world’s leading platform for commercial real estate information and technology. We empower decision-makers with authoritative data, integrated workflows, and unparalleled industry connections. Our clientele includes commercial and government agencies, brokers, developers, investors, lenders, insurers, technology providers, environmental consultants, and valuation professionals - all requiring definitive real estate data and robust workflow solutions.

Our expertise enables us to deliver the highest quality data, workflow tools, technology, and analytics to support location-based decision-making. There has never been a better time to make an impact. Join us on this journey and help shape the future of real estate.

The Digital Solutions ("Professional Services") team at Light Box plays a crucial role in delivering tailored solutions and support to our clients. We ensure seamless integration and optimal use of Light Box's data and technology platforms, providing expert guidance and ongoing support to maximize the value of our tools. Leveraging industry knowledge and technical expertise, the Digital Solutions team helps clients streamline workflows, enhance data accuracy, and achieve superior decision-making outcomes.

As a Digital Solutions Data Engineer at Light Box, you will be responsible for designing, building, validating, and delivering data solutions to our customers.

You will collaborate with a highly motivated team of experienced data and software engineers, focusing on data creation, quality assurance, modeling, and architecting to address diverse use case scenarios. Your role involves developing scalable data ingestion pipelines, maintaining processes for ingesting, building, and validating spatial datasets, and leveraging your expertise in database management and Python to enhance client data solutions and ensure high-quality outputs.

Data is typically delivered as standalone deliverables or within defined Light Box or client software environments.

Light Box data solutions are created using client data inputs, the Light Box data platform, and industry-standard GIS and data transformation/enrichment toolsets. These solutions provide property insights to the lending, insurance, real estate, environmental, and government sectors.

Reporting to the Director of Digital Solutions, the Data Engineer will:

• Fulfill Light Box’s custom data deliveries to clients.
• Develop an in-depth understanding of Light Box data assets, infrastructure, and software, such as Land Vision and Spatial Stream.
• Analyze use cases and propose solutions to meet business objectives.
• Assess client requirements and develop data/software solutions accordingly.
• Model and architect data to address business problems.
• Analyze and resolve technical data and application issues.
• Create and maintain data pipelines to prepare and manage data for specific use cases.
• Develop, test, and document automated ETL (extract, transform, load) processes to meet business needs.
• Adhere to high-quality development principles while delivering solutions on time and within budget.
• Migrate existing workflows to newer infrastructures.
• Utilize SQL, ESRI ArcGIS, and other open-source GIS software to transform, enrich, and extend Light Box data assets for client delivery.
• Document data processing methodologies, best practices, and workflows concisely.
• Aggregate data from various sources and apply analytical techniques to uncover valuable insights and solve complex issues.
• Provide support, troubleshooting, modifications, enhancements, and maintenance for existing geospatial data processing scripts and tools.
• Develop data acceptance criteria, quality assurance plans, and automated testing routines.
• Investigate data-related issues and develop resolutions.
• Create tools and workflows to automate existing processes.

• Bachelor’s degree or certificate in GIS, Geography, Computer Science, or a related discipline.
• Strong academic record with a solid foundation in GIS and Data Engineering.
• Familiarity with GIS standards, principles, best practices, open-source tools, and public…