Project Canary is a mission-driven B-Corp that helps reduce emissions in the energy, waste, and agriculture industries through independent assessment ...View Company Profile
Project Canary is a SaaS-based data analytics company focused on environmental performance or the E in ESG for energy and additional business sectors. We are the leaders in assessing and scoring responsible operations and provide independent, measured emission profiles, including methane, via high fidelity continuous monitoring technology that helps companies take ESG action. Formed as a Public Benefit Corporation (B-Corp rating score 107), Project Canary’s Denver and Hayward-based team of technologists, engineers, and seasoned industry operators have earned recognition for their uncompromising standards and high-fidelity data.
Project Canary’s mission is to fight climate change and put actionable insights starting with the energy sector. We ingest data from various sources, including our own proprietary environmental sensors/hardware, to calculate carbon emissions from different facilities in real-time via SaaS. The resulting independent data can inform the procurement of offsets in real-time using microtransactions, formulate a data-driven ESG strategy that investors now demand, improve operations by identifying problem areas in minutes, and bolster customer engagement through radical supply chain transparency.
Founded in 2019, Project Canary, PBC has quickly gained recognition as a major mover in the continuous monitoring space. Here are some highlights from last year:
Project Canary’s success is attributed to the motivation, skill, and teamwork of everyone. The team understands the importance of maintaining a culture where relationships are valued, feedback is crucial, and trust in each other and our products/services is paramount. If you enjoy a growth-stage environment, mission-driven work, we want to hear from you.
The Data Engineer will be working with the Core Software Engineering team and reporting to the Director of Software Engineering. This role will entail creating, owning and maintaining multiple ETL processes to support different teams across the business. You will handle the creation of asynchronous data pipelines to populate data lakes. This role will also be the expert on our data storage strategy and know when something should be cached or not.