Top Senior Level Python Jobs in Philadelphia, PA

The Technical Lead is responsible for analyzing data needs, supporting system databases, SQL development, and ensuring system reliability. They will develop and modify software applications, mentor software developers, and optimize operational efficiency in civic tech projects within the federal government.

The Principal Architect, Data Solutions at Zencore will collaborate with clients to understand their technical challenges, develop cloud technology solutions, lead project teams, and mentor engineers, ensuring end-to-end project delivery and strategic guidance.

The Senior Software Engineer at APrime will lead initiatives to enhance engineering productivity through platform improvements, collaborate on cloud infrastructure projects, develop maintainable code, and architect cloud-based solutions with minimal guidance.

The Senior Software Engineer will guide technical solutions, oversee software system design and architecture for reliability and scalability, solve technical challenges, mentor junior engineers, and collaborate with cross-functional teams for product development.

The Full Stack Python Developer will collaborate with project delivery staff to design and implement features for energy efficiency programs. Responsibilities include writing secure Django-based code, managing version control with Git, ensuring data privacy, and documenting code effectively.

The Senior Software Engineer will design and develop applications using JavaScript (Node.js), TypeScript, Python, and manage API integrations. They will own their tasks from definition to deployment while ensuring scalability and security best practices, collaborating with diverse engineering teams, and adapting to changing priorities in a startup environment.

The Lead Data Engineer / Full Stack Engineer will design and build data engineering solutions, create data pipelines, enhance data quality, and support the development of dashboards and visualizations. The role requires expertise in AWS stack, SQL, and big data technologies to facilitate efficient healthcare data management and reporting.