Senior Python Developer

Job Description

We are seeking a highly skilled and experienced Senior Python Developer to join our financial services client's technology team in Jersey City, NJ. This is a hybrid role, requiring strong on-site collaboration, and a long-term opportunity for developers passionate about working on high-performance, data-driven systems in a dynamic financial environment.

The ideal candidate will be hands-on with deep expertise in Python and data engineering, have strong experience in the financial industry, and be ready to undergo a rigorous coding interview. You will play a critical role in building scalable solutions and contributing to the development and deployment of data pipelines, analytics platforms, and cloud infrastructure.

Key Responsibilities

• Design, develop, and optimize large-scale data pipelines using Python, PySpark, and Pandas/Polars.

• Implement and manage scalable data solutions on Databricks and AWS.

• Write clean, efficient, and well-tested code aligned with best practices and team standards.

• Develop Infrastructure as Code (IaC) using Terraform to manage cloud resources.

• Participate in all phases of the software development lifecycle using Agile methodologies.

• Collaborate with cross-functional teams including DevOps, QA, and Data Engineering.

• Perform code reviews, provide technical mentorship, and contribute to architectural decisions.

• Ensure quality and performance of applications through thorough testing using established testing frameworks.

Must-Have Skills

• Expert-level Python development skills.

• Strong experience with PySpark for distributed data processing.

• Proficient with Pandas and/or Polars for data manipulation and analysis.

• Hands-on experience with Databricks for big data analytics and pipelines.

• Deep understanding of AWS services (S3, Lambda, EC2, EMR, etc.).

• Strong knowledge and experience with Terraform for cloud infrastructure automation.

• Proficiency in writing and maintaining unit/integration tests and using testing frameworks (PyTest, etc.).

• Familiarity with Agile development and tools like JIRA, Confluence, etc.

• Experience in a financial services or banking environment is required.

Nice-to-Have Skills

• Experience with CI/CD tools and DevOps best practices.

• Exposure to machine learning workflows or advanced analytics.

• Familiarity with SQL and other query languages.

• Understanding of regulatory requirements in the financial sector.