Top Python Jobs in Dallas, TX

The role involves designing, developing, and deploying user-facing experiences for the Enterprise Generative AI Platform, emphasizing UI engineering and Python development, while collaborating with cross-functional teams.

Lead diverse technology projects while mentoring developers. Collaborate with teams to create cloud-based solutions and solve complex problems.

Design, develop, and deploy scalable Python services for mission-critical applications. Collaborate with teams to ensure secure, reliable systems and lead best practices in engineering.

The Full Stack Python Developer will lead the team to build scalable data solutions, mentor junior developers, and implement application systems in collaboration with the Technology team.

The Associate Software Engineer will design and implement scalable software using Python and AWS, develop RESTful APIs, ensure system reliability, and collaborate with teams to optimize applications. The role requires 3-4 years of experience.

As a Senior Software Engineer at Lantern, you will design and implement backend solutions using Python and .NET, develop secure RESTful APIs, and collaborate closely with product teams while mentoring junior developers.

The Java/Python Application Development Engineer develops and maintains backend applications, focusing on cloud-native architectures, data management, and system design in a fast-paced environment.

As a Software Engineer in AI, you will train large language models, rank and review code snippets, and provide feedback for improvements.

The Data Engineer I will build and operationalize data solutions, ensuring data quality and governance while collaborating with teams to improve analytics capabilities.

As a Python Software Engineer at Citi, you will focus on developing cloud-based services, enhancing observability systems, and collaborating with cross-functional teams to meet cloud strategy goals.

Design, develop and test applications, ensure compliance with security and SDLC processes, work with various teams, and support cultural change.

The role involves leading the development of enterprise applications using Angular and Python, collaborating with teams to deliver technology solutions for the Credit Risk Business, while resolving complex issues and supporting production environments.

The role involves leading application systems analysis and programming in the Wholesale Credit Risk Technology team. Responsibilities include building enterprise applications using Python and FastAPI, collaborating with teams, resolving complex issues, and supporting production.

Design, develop, and optimize Python applications for inventory tracking and order automation, leading technical projects and mentoring junior developers.