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.
As a Python Software Engineer at Ascend Analytics, you will 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.
- Design and write clean, scalable, production code (our backend team primarily works in Python, and our frontend team works primarily in JavaScript)
- Refactor code for improved performance, stability, and scalability
- Develop automatic tests (such as unit and integration tests) and deployment scripts
- Implement systems for collecting, storing, and working with data at scale
- 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
- Contribute to scoping and design discussions
- 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.
- BS or MS in Engineering, Computer Science, Data/Information Science, Physics, Operations Research, Statistics, Economics, or Power Systems
- 1+ years as a back-end software engineer
- 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
- Familiarity with data processing in Python (including Pandas, Numpy, Sympy, Scikit-Learn) is strongly preferred
- Experience designing and developing full-stack applications and RESTful web services
- Familiarity or exposure to cloud computing platforms and ecosystems, e.g., Azure, AWS, and containerization, e.g., Docker
- Data Science, including statistics, machine learning, and data visualization
- Referential databases, such as SQL Server, Oracle, or PostgreSQL
- Ability to communicate with impact and confidence, both orally and in writing
- Strong interpersonal skills, teamwork skills, and work ethic
- Knowledge of wholesale electricity markets; passion for renewables and storage
- Experience with code review, architecture, development, and promotion processes
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.
What We Do
Founded in 2002, Ascend is an employee owned software service company based in Boulder, Colorado. Ascend’s management team has over 60 years of direct energy experience. Our focus remains the analytic and data infrastructure to support decision analysis from the next hour to the next thirty years. Ascend has utilized the latest technologies and modeling techniques to allow energy analysts and risk managers to meet today’s challenges.
Primary Software Uses:
* Portfolio Analysis * Asset Valuation * Hedge Optimization * Planning & Budgeting
* Capacity Expansion* Risk & Scenario Analysis
Ascend Analytics has combined industry leading model capability with robust client support. This has allowed our customers to dramatically improve decision analysis and gain competitive advantage in the marketplace.
