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Python Software Engineer - Boulder, United States - Ascend Analytics
Description
Python Engineer,Boulder, CO OR Remote within U.S. for well qualified candidates
Your Impact at Ascend Analytics
As a Back-End 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.
Ascend Analytics is an innovative "climate tech" software and consulting company focused on energy analytics that are transforming the electric grid.
Ascend's solutions provide the analytics to support critical power supply decisions from operating strategies, for short and long-term investment and resource planning decisions.
For more information, visitJob Responsibilities
Support and advance back-end software applications by:
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
Mentor and guide junior engineers
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.
Required QualificationsBS or MS in Engineering, Computer Science, Data/Information Science, Physics, Operations Research, Statistics, Economics, or Power Systems
2+ years as a back-end software engineer
Preferred Qualifications
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
Compensation:
$100,000 - $150,000, we may also consider Junior candidates in the range of $80,000 - $110,000
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 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.
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