Job Role: Lead Python Developer Location: Remote Pay Rate: $70-$80/hr. on 1099 or $68/hr. on W2 Acceptable Work Authorization: USC, GC, GC-EAD, H4-EAD Only Job Summary: We are looking for an experienced Python Developer with a strong background in data science, numerical computing, and distributed data processing. The ideal candidate will have hands-on experience working with SciPy for scientific computations and PySpark for big data processing. You will work closely with data engineers, scientists, and business stakeholders to develop scalable and performant solutions. Key Responsibilities: • Design, develop, and deploy data pipelines using PySpark for large-scale datasets. • Build and optimize scientific and numerical computation models using SciPy and related libraries. • Write efficient, reusable, and scalable Python code for data processing, transformation, and analytics. • Collaborate with cross-functional teams including data scientists, DevOps, and BI teams. • Debug, optimize, and improve the performance of existing code and workflows. • Implement unit tests and follow CI/CD best practices. • Work in Agile/Scrum environment and participate in sprint planning and reviews. Required Skills: • Strong proficiency in Python (10+ years). • Solid experience with SciPy, NumPy, and related scientific Python libraries. • Proficiency in PySpark for distributed data processing using Spark. • Experience with data frames, RDDs, and Spark SQL. • Good understanding of Big Data ecosystems like Hadoop, Hive, or HDFS. • Familiarity with version control tools such as Git. • Experience working with large datasets in cloud platforms (e.g., AWS, Azure, GCP). • Strong analytical and problem-solving skills. Preferred Skills: • Experience with Pandas, Matplotlib, Seaborn, or Plotly. • Knowledge of machine learning workflows using Scikit-learn or TensorFlow. • Exposure to workflow orchestration tools like Airflow or Prefect. • Familiarity with Docker/Kubernetes and CI/CD pipelines.