Python Developer
Develop, optimize, and troubleshoot complex data pipelines using Python and Databricks. Manage data integration and transformation processes within an AWS cloud environment.
Remote Python Developer Jobs in United States
33 Python Developer jobs in United States available for remote work from home. Apply for positions such as Python Developer, Senior Python Developer, Senior Python Developer (US) and more! Discover the best work-from-home or hybrid, full- and part-time jobs.
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Develop, optimize, and troubleshoot complex data pipelines using Python and Databricks. Manage data integration and transformation processes within an AWS cloud environment.
The Senior Python Developer will design, build, and enhance complex enterprise-grade applications and data-intensive services. They will collaborate with product and infrastructure teams to translate business problems into robust, high-performance technical solutions.
Design, build, and maintain Python-based backend services, APIs, and microservices throughout the full software development lifecycle. Integrate LLMs, vector databases, and third-party services while ensuring application performance, scalability, and reliability.
The developer will design, build, and enhance complex enterprise-grade Python applications and data-intensive services. They will also collaborate with cross-functional teams to translate business problems into scalable technical solutions while ensuring operational stability.
Develop and maintain robust, scalable Python backend applications and REST APIs for a Chatbot/RAG platform. Ensure production readiness through effective deployment, monitoring, logging, and troubleshooting.
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The role involves leading the migration of an R-Framework to the cloud and optimizing integration with REST APIs and JSON structures. Additionally, the developer will drive large-scale data reconciliation and support the Risk department in streamlining deployment pipelines.
Design, build, and maintain scalable web applications while owning features end-to-end from technical design to deployment. Collaborate with cross-functional teams to deliver high-quality code and mentor junior engineers.
You will build and maintain reliable backend services, APIs, and internal tools while managing PostgreSQL schemas and data consistency. Additionally, you will coordinate task flows using Redis and ensure system observability through logging and monitoring.
Design, build, and operate high-load systems while processing large volumes of data. Collaborate with a team to develop software for an online education project.
Develop Python scripts and applications to build data integrations and automation workflows. Maintain API-based solutions for platforms like Google, Meta, and TikTok while optimizing data pipelines.
Design and develop coding benchmarks to evaluate frontier AI models and analyze AI-generated code for correctness and efficiency. Build scalable data pipelines and create structured programming scenarios to improve AI reasoning and reliability.
Design and build large-scale data pipelines for ingestion and processing while maintaining end-to-end ML pipelines. Collaborate with data scientists to productionize models and optimize systems for scalability and performance.
The developer will be responsible for the development, implementation, testing, and maintenance of NCBI bioinformatics software and information retrieval systems. They will collaborate with a diverse team of scientists and bioinformaticians to implement efficient algorithms.
Design and develop APIs and AI-powered integrations to support business workflows and enterprise applications. Collaborate directly with clients to gather requirements while deploying and maintaining solutions within AWS.
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The developer will design, build, and maintain scalable web applications and secure RESTful APIs using .NET Core and Python. They will also manage database optimizations, CI/CD pipelines, and integrate third-party services into the existing infrastructure.
Develop, enhance, and maintain secure web applications using C#/.NET, Python, JavaScript, and SQL Server. Collaborate with team members to clarify requirements, estimate solutions, and deliver high-quality software using AI-assisted tools.
You will provide technical leadership and architectural guidance to design and implement mission-critical systems and data pipelines. This role involves collaborating with stakeholders to translate operational needs into technical roadmaps while mentoring team members.
Develop and enhance full-stack web applications using React for the frontend and Python/FastAPI for the backend. Manage the full development lifecycle, including API design, troubleshooting production issues, and supporting deployments in Linux environments.
Architect and deploy scalable microservices using Spring Boot and Spring Cloud, and design RESTful, gRPC, and Python-based AI agent services. Develop Claude-powered AI workflows, including LLM orchestration, MCP servers, agent skills, and event-driven systems using Apache Kafka.
Design and build end-to-end features across AWS infrastructure, Python and Java backend services, and Angular frontends for manufacturing platforms. Develop and evolve agentic AI workflows using Amazon Bedrock, including RAG, tool calling, and validation loops.
Evaluate and validate AI-generated Python code for functional correctness, logic, and adherence to best practices. Provide structured feedback and execute scripts to refine the reasoning and performance of AI models.
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Evaluate and validate AI-generated Python code for functional correctness, logic, and adherence to best practices. Provide structured feedback and execute scripts to refine model performance in backend architecture and API design.
Evaluate and validate AI-generated Python code for functional correctness, logic, and adherence to best practices. Provide structured feedback and execute scripts to refine the model's reasoning and performance.
Evaluate and validate AI-generated Python code for functional correctness, logic, and adherence to best practices. Provide structured feedback and execute scripts to refine model performance and technical reasoning.
Evaluate and validate AI-generated Python code for functional correctness, logic, and adherence to best practices. Provide structured feedback and execute scripts to refine model performance in backend architecture and API design.
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