Data Engineer

Our Mission SPAN is enabling electrification for all ⚡ We are a mission-driven company designing, building, and deploying products that electrify the built environment, reduce carbon emissions, and slow the effects of climate change. Decarbonization is the process to reduce or remove greenhouse gas emissions, especially carbon dioxide, from entering our atmosphere. Electrification is the process of replacing fossil fuel appliances that run on gas or oil with all-electric upgrades for a cleaner way to power our lives. At SPAN, we believe in: Enabling homes and vehicles powered by clean energy Making electrification upgrades possible Building more resilient homes with reliable backup Designing a flexible and distributed electrical grid The Role As a Data Engineer you would be working to design, build, test and create infrastructure necessary for real time analytics and batch analytics pipelines. You will work with multiple teams within the org to provide analysis, insights on the data. You will also be involved in writing ETL processes that support data ingestion. You will also guide and enforce best practices for data management, governance and security. You will build infrastructure to monitor these data pipelines / ETL jobs / tasks and create tooling/infrastructure for providing visibility into these. Responsibilities We are looking for a Data Engineer with passion for building data pipelines, working with product, data science and business intelligence teams and delivering great solutions. As a part of the team you:- Acquire deep business understanding on how SPAN data flows from IoT device to cloud through the system and build scalable and optimized data solutions that impact many stakeholders. Be an advocate for data quality and excellence of our platform. Build tools that help streamline the management and operation of our data ecosystem. Ensure best practices and standards in our data ecosystem are shared across teams. Work with teams within the company to bui