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# Python Software Engineer

- **Company:** Triad Technology Group
- **Location:** Santa Clarita, CA, United States (Remote available)
- **Experience:** Expert
- **Salary:** $124,800.0 - $160,160.0
- **Contract:** Temporary to permanent
- **Skills:** Business Analytics Applications, Data Analysis, Code Review, Extract Transform Load (ETL), Software Debugging, Experimental Data, Python (Programming Language), NumPy, Object-Oriented Software Development, Operational Databases, Performance Tuning, SciPy, Signal Processing, Software Engineering, Data Processing, Git, Fastapi, Pandas, Matplotlib, Scikit Learn, Information Technology, Data Analytics, Plotly, Feature Extraction, Data Pipelines
- **Published:** September 25, 2026
- **Apply:** https://www.dice.com/job-detail/14638253-41a8-47d1-a957-b73c6263e6e2

## About the Role

* 5+ years of professional software engineering experience
 * Strong Python development skills
 * Extensive experience with Pandas and NumPy
 * Experience developing production data pipelines
 * Strong understanding of software engineering practices, including OOP, testing, Git, code reviews, debugging, and performance optimization
 * Experience with numerical, structured, or time-series data
 * Bachelor's or Master's degree in Computer Science preferred - not required

Preferred

 * Experience with SciPy, Matplotlib, Plotly, or scikit-learn
 * Knowledge of calculus, linear algebra, statistics, or numerical methods

## Description

We are seeking a Senior Python Software Engineer to develop data-driven software and analytical tools. This hands-on role focuses on Python development, numerical data processing, time-series analysis, and collaboration with engineering and research teams.

 * Develop and maintain production Python applications and data pipelines
 * Use Pandas and NumPy for data processing, analysis, and transformation
 * Build ETL workflows for large and complex datasets
 * Perform statistical analysis, feature extraction, and exploratory data analysis
 * Process time-series and experimental data
 * Implement numerical, mathematical, and signal-processing algorithms
 * Write maintainable, well-tested, documented code
 * Optimize applications for performance and scalability
 * Work with software, embedded, and algorithm engineers to move solutions into production