Sr. Python Developer

Sr. Python DeveloperOpenings: 1Length: 6-12 months + ExtensionsSchedule: Onsite, 5 days a weekLocation: Spring, 77389Interview Process:1 Round1 Hour Zoom – PanelTop 3 skill sets/technologies required for qualification:Expert at all aspects of Python developmentData Science experience in developing scientific/financial modelsExperience with Palantir and/or DatabricksThe Hiring Team is looking for a capable and experienced Python developer; when submitting candidates please highlight previous Python project experience, specifically writing more complex Python codes and not just simple scripts. Python is often used as a utility language, and many candidates have used it in the past for simple tasks and can accumulate ‘years of experience’ through this kind of usage. The Team wants someone to have experience building production-quality Python financial or scientific modeling code.Day to Day:• As part of an integrated project team consisting of software engineers, data scientists, and computational engineers, contribute to a diverse Python codebase that models Carbon Capture and Sequestration systems• Take a lead role in organizing and applying software engineering standards to the existing modeling codebase, re-writing it to make it more robust, maintainable, and extensibleMust-Haves:• Work with the data scientists and computational engineers to understand the existing Python financial and scientific models, refactoring prototype models into production-quality code• Architect code changes to improve performance, maintainability, or extensibility as needed• Work with the team to establish software engineering best practices, including coding standards, code reviews and other standard techniques• Work with the data team to improve data interfaces between the models and the data layerRequirements:• Bachelor’s degree in computer science, engineering, quantitative sciences, or mathematics; alternatively significant practical software project experience• 5+ years of meaningful Python project experience, with code complex enough to require modular or object-oriented Python code• Proficient with pandas and numpy libraries; capable of optimizing performance of code that uses them• Experience integrating testing frameworks (e.g.