Software Engineer

Software Engineer, Boulder, CO  

About Ascend 

Ascend Analytics’ climate technology software and services provide critical insights to power the energy transition. The company’s products enhance critical power supply decisions from short-term operating strategies to long-term investment and resource planning. Ascend’s solutions serve as the core analytic infrastructure for electric utilities, independent power producers, electric retailers, and financiers of energy infrastructure. To learn more about Ascend, please visit us at www.ascendanalytics.com.   

Your Impact at Ascend Analytics 

We are seeking a Software Engineer at Ascend Analytics to be part of a collaborative team advancing software solutions and analytics to support the clean-tech power revolution. Your strong software engineering skills will support mission critical decision analytics for renewable and battery storage power providers around the globe. 

Job Responsibilities

• Design and write clean, scalable, production code (our backend team primarily works in Python, SQL, Sas, and C#; our frontend team works in React)
• Refactor code for improved performance, stability, and scalability  
• Develop automatic tests  
• Work with our team of analysts and data scientists to integrate and generalize prototype mathematical and data science models within production software  
• Communicate clearly and effectively (orally and in writing) with both technical and nontechnical stakeholders  
• This position involves working collaboratively both within your software team and outside with the front-end software engineers, data scientists, and technical sales team. The software development team follows an agile scrum process, and all team members are expected to contribute to technical design reviews, implementation strategies, operational system support, and sprint planning. 

Required Qualifications

• BS in Engineering, Computer Science, Data/Information Science, Mathematics, or a related field
• 2+ years of hands-on experience in a similar position
• Demonstrated academic or professional software coding experience in one or more of the following languages: Python, Ruby, .NET, Java, C++, C#, Kotlin, Rust, or Javascript, including object-oriented design   
• Strong background in programming related to applied mathematical, engineering, and physical sciences   
• Team player with a willingness to learn
• Strong interpersonal skills, teamwork skills, and work ethic  

Preferred Qualifications

• Familiarity with data processing in Python (including Pandas, Numpy, Sympy, Scikit-Learn) is strongly preferred  
• Data Science, including statistics, optimization, machine learning, and data visualization  
• Referential databases, such as SQL Server, Oracle, or PostgreSQL  
• Knowledge of wholesale electricity markets; passion for renewables and storage 

Compensation: $75,000 - $95,000 

Negotiable based on qualifications and experience. Ascend highly values our employees and often pays above industry average.  

We offer flexible work hours in a relaxed environment with opportunities for advancement and excellent benefits, including medical, dental, vision, short- and long-term disability, parental leave, dependent care spending account, and a 401k plan.   

We celebrate diversity and are committed to creating an inclusive environment for all employees. Ascend Analytics is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information or other applicable legally protected characteristics.    

Ascend Analytics is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please contact us at recruiting@ascendanalytics.com