Python Software Engineer (Production Data & Model Services)

• 3+ years of strong Python engineering experience including packaging (wheels/pyproject), typing and clean architecture
• Proficiency in error handling and performance-oriented development
• Proven production SDLC background with Git workflows, automated tests and CI/CD
• Expertise in Pandas and NumPy in production pipelines
• Familiarity with data formats like Parquet and governed data access patterns
• Experience building and operating APIs/services using FastAPI, Flask or similar frameworks
• Competency working in governed platform environments such as Databricks or containerized dev platforms

Nice to have:

• Skills in scikit-learn for production feature and scoring pipelines, including reproducible transforms and model packaging/versioning
• Background in PySpark and distributed processing
• Knowledge of IDE-to-Databricks workflows such as Databricks Connect

• Build and run production-grade Python applications (APIs and batch jobs) with strong SDLC practices including code reviews, testing, CI/CD, observability and documentation
• Develop robust data pipelines (batch and near-real-time) reading and writing governed storage with Parquet/columnar formats and approved patterns
• Transform quant and data science prototypes into deployable packages/services (typed, modular, versioned)
• Expose scoring and analytics via APIs or scheduled jobs rather than notebook-only deliverables
• Collaborate with platform teams on Databricks/Spark connectivity
• Optimize PySpark workloads when needed
• Ensure release discipline through Git workflows, automated tests and code reviews