Top Python Jobs

As a Sr. Data Engineer, you will design and implement data processes for Adobe's CDP, ensuring integration, reliability, and compliance with data protection standards.

Develop scalable backend services, manage data pipelines, and ensure high-quality code in a microservices architecture. Collaborate with teams to deliver integrated solutions.

Design and implement AI-enabled observability and data platforms, focusing on real-time insights, monitoring, and technical leadership across engineering teams.

As a Senior Full Stack Developer, you'll build software prototypes for vehicles, coordinate with teams, and advise on software architecture. You'll work with web, mobile, and embedded platforms to ensure prototypes align with user needs and strategic goals.

The role involves improving compositing tools and workflows, developing custom plugins, and providing technical support to compositors at DreamWorks Animation.

As a Data Engineer II at Fandango, you will design, build, and maintain data pipelines, collaborate with teams, and troubleshoot data issues.

The role involves designing, developing, and deploying AI applications, maintaining large-scale applications, and resolving technical issues related to software systems.

Design, develop, and deploy AI applications; integrate LLM models; maintain large-scale applications; troubleshoot technical issues; collaborate with teams.

Lead the Database Automation team at Wells Fargo, focusing on developing automated APIs, managing complex projects, and mentoring engineers to enhance technology practices across the bank.

Responsible for designing, developing, and testing software systems and applications, particularly in AI, using Java, Python, and cloud technologies.

Design, develop, and deploy AI applications integrating LLM models. Troubleshoot issues related to applications and assist in advanced software development.

Lead the Database Engineering team in creating automated APIs and tools, ensuring a robust operating environment and stable microservices through full-stack software engineering practices.

The role involves designing, developing, and deploying AI applications, collaborating with teams, and maintaining software systems while resolving complex technical issues.

Responsible for designing, developing, and deploying AI applications and integrating LLM models, while troubleshooting complex technical issues.

Lead the development of automated tools and APIs while implementing best practices in software engineering. Collaborate with teams to resolve technical issues and drive technology initiatives.

Design, develop, test, and deploy software solutions while collaborating with business leaders to enhance trading activities and solve complex problems.

The Machine Learning Researcher role involves using advanced machine learning and AI techniques to extract data patterns, implement algorithms, and document findings in trading strategies.

Quantitative Research Engineers design and implement automated trading systems using advanced statistical techniques, collaborating with researchers to deliver software solutions.

As a Software Developer Tools Engineer, you will enhance developer productivity by optimizing tools and services related to the software development lifecycle at Citadel Securities.

Lead the development of cloud-based data solutions in a collaborative environment, mentoring teams and utilizing big data technologies to solve complex business problems.

Lead diverse technology projects and teams to develop solutions for regulatory needs while mentoring engineers and delivering cloud-based applications.

As a Lead Data Engineer, you'll design and develop technical solutions using various technologies, collaborate with teams, and mentor others to enhance data-driven strategies.

In this role, you will lead a team to develop full stack solutions in cloud environments, focusing on regulatory needs and mentoring engineers.

As a Senior Software Engineer at Capital One, you will design, develop, test, and implement back-end solutions, collaborating with Agile teams to create cloud-based systems that drive financial empowerment for customers.

Lead a team of developers to deliver AI-driven data solutions, utilizing AWS, Python, SQL, and big data technologies while collaborating across Agile teams.