Overview
On Site
80 - 85
Contract - W2
Contract - Independent
Contract - 12 Month(s)
No Travel Required
Unable to Provide Sponsorship
Skills
Python
palantir
Job Details
Top 3 skills
Expert at all aspects of Python development
Data Science experience in developing scientific/financial models
Experience with Palantir and/or Databricks
Overview
- 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 extensible
Responsibilities
- 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 layer
Skills and Qualifications
- 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. pytest), writing unit tests, and organizing CI/CD pipelines for Python code
- Good technical communication and collaboration skills; experience working in Agile teams
Preferred Qualifications
Experience writing financial models in Python
Experience using Databricks or Palantir
Experience with writing Spark code in Python or with other parallelization techniques and distributed computing frameworks
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