Top Python Jobs in Chicago, IL

Build and maintain scalable real-time and batch data pipelines, backend systems, and APIs for ad serving. Create automation and monitoring solutions, ensure data quality and system performance, and participate in the full software development lifecycle. Collaborate with cross-functional teams, optimize code and workflows, and support operations including variable schedules and occasional nights/weekends.

The Quantitative Developer will develop systems from research to production, build simulation infrastructure, manage feature pipelines, and troubleshoot issues in quantitative trading environments.

Lead and architect production-grade trading systems for Credit Pre-Trade Technology, build AI-native platforms, develop and maintain secure scalable code, partner with trading and product teams, drive AI-assisted engineering practices, support production stability and automation, and lead technical evaluations and communities of practice.

Build and scale Buyercloud ad-serving systems that process billions of auctions daily. Design data- and model-driven features, optimize performance and cost, extend observability, participate in on-call rotations, produce documentation and playbooks, and support production incidents.

The Senior Scala/Python Engineer designs and develops scalable back-end systems, architects APIs, optimizes databases, and mentors team members in functional programming practices, enhancing platform reliability and security.

Build and support real-time data streaming applications using Python and Apache Flink. Work with Kafka, SQL, and distributed systems to implement event-driven pipelines, troubleshoot production issues, and collaborate within Agile teams.

Lead a team to design and deliver cloud-based, distributed microservices and data platforms (Python/Scala/Spark/AWS). Mentor engineers, collaborate with product managers, evaluate and adopt new technologies, and help meet regulatory needs while occasionally coding and reviewing work.

Lead and mentor engineering teams to design and deliver cloud-based backend solutions using distributed microservices, modern languages and container orchestration on AWS. Collaborate with product, evaluate and write code, and drive technical transformation and regulatory-compliant systems.

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.

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.

Design, develop, test, and maintain backend services and large-scale enterprise applications using Python (pandas, boto3), AWS, and Docker. Participate in full SDLC, produce technical specs, implement CI/CD/DevOps pipelines, use observability tools, perform root-cause analysis, and support production on Linux and Windows environments.

The Senior Full Stack Developer will design, develop, test, and debug software solutions, collaborating with teams and optimizing applications. Responsibilities include user interaction design, back-end functionality, and ensuring software scalability and security.

Develop, test, deploy, and support full-stack Python applications on AWS. Participate in design, estimation, code reviews, unit testing, sprint planning, and mentor junior engineers. Collaborate with architects, clients, and distributed teams to modernize applications, follow best practices, and document solutions.

The Principal Python Engineer will design, build, and maintain backend services and APIs, focusing on system reliability and engineering quality. The role involves working with databases, applying DevOps practices, and leveraging AI for development efficiency.

The Python Engineer will write maintainable Python software, lead technical initiatives, collaborate globally, and contribute to community engagement at Canonical.

Lead a team to integrate data engineering practices within actuarial processes, developing scalable solutions for insurance pricing and analytics.

Lead a team to design and deliver cloud-based backend solutions and distributed microservices using languages like Python, Scala, and Java. Collaborate with product managers, mentor engineers, evaluate code, and use AWS, containers, and data frameworks (Spark) to meet regulatory and customer needs.

Contract Python developer to join the FXCash DB team. Participate across the SDLC—story writing, estimation, design, development, test planning/automation, and deployment. Work in an Agile environment with developers and business analysts; apply FX market domain knowledge and messaging/UNIX/database technologies.

Develop and maintain Python applications on the FX Cash DB team. Collaborate with developers and business analysts across the SDLC: story writing, estimation, design, development, test planning, test automation, and deployment. Work in an Agile environment and apply FX market knowledge while using Excel and related technologies (C#, C++, SQL, UNIX, MQ/RV, Perl).

Develop, design, and deliver complex Python backend applications for acquiring, storing, and computing on large volumes of data. Lead feature implementation, ensure code quality via linting and automated tests, mentor junior developers, perform code reviews, collaborate with cross-functional teams, and troubleshoot production issues.

Develop and maintain scalable Python backend applications and RESTful APIs. Optimize performance, design and manage SQL/NoSQL schemas, implement security/authentication, write tests, automate CI/CD tasks, and collaborate with front-end, product, and QA teams.

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

Design, implement, and scale event-driven, distributed backend systems in Python on AWS to process and enrich large-scale document and media datasets. Lead technical projects, mentor engineers, integrate ML/LLM components, optimize performance, maintain observability, and collaborate with Data Science, ML Engineering, and Product to deliver reliable high-throughput content processing services.

The Software Engineer will enhance trading systems and applications, collaborating with teams to improve adaptability and scalability in a fast-paced environment.

Develop and maintain Python applications focusing on iterators/generators/streams, concurrency (multithreading, non-blocking I/O), and high-precision numeric handling. Work with JSON/XML, REST and SOAP APIs, ACID-compliant databases, message brokers/queues, and produce clean, SOLID code. Unit and integration testing experience is beneficial.