Software Engineer - Data

Project Canary is a growth-stage, SaaS and certification company combatting climate change from an incredible vantage point that can impact oil & gas, utilities, landfills, and ag. We are a Public Benefit Corp (B-Corp rating score 107) that helps monitor and mitigate emissions in the ESG landscape favored by communities and investors alike through independent data tied to carbon and environmental footprints. With flexible work environments in Denver,

Project Canary’s mission is to make net-zero a reality by quantifying climate change and putting actionable insights into the hands of the energy sector. Our diverse and inclusive team of operators, scientists, engineers, and sales leaders know how to network, hustle, and are change-makers by design. We ingest data from various sources, including our own proprietary environmental sensors/hardware, to calculate carbon emissions from different facilities in real-time displayed on a SaaS dashboard. The resulting independent trusted data can inform the procurement of offsets in real-time using micro-transactions, 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.

Initially, we are focused on the energy industry. With thousands of energy assets analyzed and hundreds of environmental and air quality sensors currently deployed, Project Canary is positioned better than anyone to provide empirical ESG data—and we have the ARR and growing pains to prove it.

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.

As a scaling PBC, we have excellent healthcare, a people-first orientation, and a sustainability core. Recently, we were recognized as Best for the World, in the top 5% of all B-Corps in the world for the category of Workers. It means we were recognized for our culture and our commitment to creating a people-centric value system.

The Software Engineer will be working with the Data and Analytics team writing and deploying software based on scientific research. A key part of the role is collaborating on experiments and physical modeling thereafter. The engineer will work closely with the Software Engineering team, and CTO to build and qualify scientific research through software.

Job Responsibilities:

• Build and deploy C# software modeled after Python or Algorithms presented as pseudocode
• Managing GitHub repositories
• Translating requirements to code using C# or OOL
• Maintaining Source Repos

Education and experience:

• 3+ years of experience building and maintaining C# production code
• 1+ year experience of API development using CRUD with RESTful
• Experience with Docker, GitHub, PostgreSQL
• Working knowledge of Python
• Strong Mathematical/Physics skills
• Bachelor's degree in related discipline or bootcamp experience
• Strong understanding of OOP concepts and Data Structures
• Prior experience with open-source technologies and tools

Benefits:

• Full coverage of health, dental, and vision insurance
• 401K company match
• Student loan assistance
• Salary range: $80,000- $100,000 annual base
• Stock options
• World recognized work culture - ranked top 5% of all B-Corps

Project Canary provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.