Top Python Jobs in NYC, NY

Develop and maintain a healthcare software platform using Python and Django. Responsibilities include building backend services and features, translating healthcare and business requirements into scalable solutions, debugging production issues, participating in testing and code reviews, and collaborating with technical, product, design, healthcare, and leadership stakeholders throughout the platform lifecycle.

Leads the architecture, development, testing, deployment, and production support of scalable full-stack applications. Builds React and TypeScript frontends alongside Go, Java, Python, or Node.js backend services, using AWS, containers, CI/CD, databases, observability, and automated testing. Owns end-to-end delivery, contributes to system design and architecture reviews, resolves complex production issues, mentors engineers, and collaborates with product, design, architecture, and business stakeholders.

Modernize legacy SAS data-processing systems by translating logic into scalable, high-performance Python solutions. Build and optimize large-scale data pipelines using formats including SAS, Parquet, JSON, and SQL. Integrate PostgreSQL, implement parallel processing, automated testing, data validation, and quality assurance, and maintain well-documented code. Collaborate with IT specialists and stakeholders to validate requirements, troubleshoot issues, and deliver cloud-native modernization solutions.

Develop production-grade Python services, pipelines, testing frameworks, and data tools that automate quantitative market and credit risk model lifecycles. Build AI/ML and LLM-enabled documentation, data quality, validation, and workflow capabilities within governed enterprise environments. Collaborate with quants, validators, data engineers, and program leaders while applying secure software engineering, CI/CD, testing, and scalable design practices. Mentor junior developers and contribute to technical design reviews.

Lead Data Engineer designing, building, testing, and supporting cloud-based data pipelines and platforms. Collaborate across Agile teams to implement scalable data movement, modeling, governance, and streaming solutions using Python, Spark, Kafka, Snowflake/Databricks, and other big data tools. Mentor engineers and drive technical innovation.

Lead the design, development, and operation of production-grade automation, agent frameworks, and CI/CD pipelines supporting documentation, localization, and language operations. Integrate platforms through REST APIs and MCPs, apply LLM capabilities responsibly, improve reliability and scalability, establish reusable standards, and mentor engineers. The role is fully remote in the US, with preferred Eastern or Central time zone availability.

Design and maintain scalable Python backend services, enterprise data integration frameworks, batch pipelines, REST APIs, and AWS cloud-native applications. Build serverless solutions using Lambda, DynamoDB, API Gateway, EventBridge, SQS, and Step Functions. Improve data pipeline observability, resilience, monitoring, and performance while supporting analytics, machine learning, and AI use cases. Collaborate with stakeholders and engineering teams, troubleshoot distributed systems, mentor junior engineers, conduct code reviews, and promote modern development and DevOps practices.

Build and maintain Django-based web applications, design RESTful APIs, implement frontend features (HTML/CSS/JS), optimize performance and security, collaborate with cross-functional teams throughout the development lifecycle.

Design, develop, and maintain scalable Python applications; collaborate with cross-functional teams to deliver features; ensure performance and quality; identify and fix bugs; maintain code quality and automation; lead and mentor team members using agile practices.

The Senior Python Engineer will develop and support MongoDB Python drivers, enhance library quality, and collaborate on product features.

Build and maintain scalable backend applications, serverless functions, microservices, data workflows, ETL pipelines, and cloud-native architectures using Python and AWS. Manage databases, APIs, batch jobs, and real-time integrations while optimizing performance, scalability, security, compliance, and cost. Collaborate with product, engineering, analytics, and data teams; contribute to architecture, CI/CD, infrastructure automation, development standards, and technical mentorship. Healthcare claims data experience is required.

Build and lead across Tetrix’s SaaS product, data pipelines, AI agents, and telemetry infrastructure using Python and JavaScript. Set technical direction, make architectural decisions, shape product strategy, collaborate with clients, establish secure and scalable engineering practices, mentor engineers, and help build a high-performing team.

Work as a Python development intern building applications and APIs, processing and analyzing data, working with databases and data pipelines, contributing to system architecture, writing clean documented code, and collaborating with the team. Strong emphasis on backend development, SQL, ORMs, and REST API design with potential conversion to full-time.

Designs and delivers scalable Java and Python applications for mortgage technology, trading, analytics, workflows, and reporting. Partners with business, risk, product, and technology teams to integrate platforms and improve processes. Oversees development through testing, implementation, and operational support; applies AI and GenAI to automate workflows and analysis. Resolves complex technical initiatives, follows engineering and CI/CD standards, mentors junior staff, and serves as a subject matter expert.

The Senior Full-Stack Engineer will develop and maintain scalable web applications using Python and React, design APIs, and deploy applications on AWS.

The Python Developer will support the implementation of a Python-based forecasting library and econometric model framework for Wholesale Credit, collaborating with model developers and enhancing existing frameworks.

Develop and maintain open-source SDKs for AI observability and evaluation, ensuring efficiency, user-friendliness, and compatibility across frameworks.

The Software Engineer will enhance trading systems and applications, collaborate with quants and traders, and lead project initiatives.

As a Senior Python Developer, you'll build financial systems, develop microservices, and utilize cloud-native technologies on AWS, while ensuring code quality and performance.

Build and maintain scalable Python-based AI applications under senior guidance. Assist with requirements, feature implementation, data modeling using Pydantic, code reviews, troubleshooting, testing, and CI/CD. The role requires collaboration, communication, and willingness to learn modern Python tools, frameworks, and libraries. Candidates should understand object-oriented programming, REST APIs, large language models, and AI coding tools. The position is fully remote within the United States.

Design and improve trading platforms with Python, support new trade functionality and integrations, monitor systems and infrastructure, respond to incidents, troubleshoot root causes, and optimize performance and reliability. Collaborate with quantitative researchers, engineers, senior leadership, and internal and external clients. The role also supports automation of accounting and operational workflows and requires understanding of market data and order-entry systems.

Evaluate AI coding-agent interactions for usefulness, correctness, engineering judgment, reasoning quality, and developer trust. Provide clear, opinionated feedback, distinguish response-quality levels, and help define standards for excellent interactions with tools such as OpenAI Codex, Claude Code, and Cursor. This contract role requires staff- or principal-level software engineering experience and familiarity with modern AI-assisted development workflows.

Develop open source SDKs, enterprise APIs, UIs, and backend systems supporting large-scale computer vision datasets. Build scalable, maintainable, performant, and well-tested software for unstructured data and AI workflows. Contribute to enterprise deployments across customer clouds and on-premises environments, while improving tooling, automation, engineering practices, and open source community initiatives in a remote-first team.

Develop and maintain Python software applications, backend services, APIs, integrations, and database solutions. Responsibilities include troubleshooting, testing, deployment, code review, performance monitoring, documentation, and collaboration with a distributed remote team. The role requires independent work, strong communication, and reliable delivery of maintainable, scalable software.

Design, develop, and maintain scalable Python applications and cloud-native solutions. Architect microservices, containerized deployments (Docker/Kubernetes), optimize cloud infrastructure, build CI/CD pipelines, integrate messaging systems, ensure security and high code quality, and mentor junior developers. Generative AI/ML experience is a plus.