Top Python Jobs

The Senior Data Engineer will design and maintain data pipelines, develop data models, and collaborate with teams on optimization problems, using Python and cloud technologies.

The Senior Fullstack Engineer will design software architecture, deliver tested features, attend scrum meetings, and ensure seamless front-end and back-end integration.

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

Assist in developing business solutions using Python and SQL, support senior staff with risk systems, and provide application support.

Lead backend engineering efforts by coordinating engineers, defining technical tasks, making architectural decisions, improving processes, and representing the company externally. Focus on backend Python development and collaborate with management to set engineering standards and achieve customer and operational objectives.

Deliver complete solutions across all phases of the SDLC while advising management and guiding junior engineers, applying technical best practices with minimal supervision.

The Data Engineer will design, develop, and maintain data infrastructure, focusing on ETL processes, data architecture, and CI/CD pipelines, utilizing Python and PySpark.

Design and develop scalable backend services and data ingestion solutions while optimizing applications for maximum speed and scalability in an Agile environment. Collaborate across disciplines and drive innovation in building robust APIs and data pipelines.

The Senior Python Engineer will design scalable software solutions, lead architectural discussions, collaborate with teams, and improve applications' performance.

Build, optimize, and scale Python-based trade surveillance processes and infrastructure to detect market abuse and regulatory violations; own issue resolution, participate in Git/Gerrit code reviews, and handle large-scale data processing using Pandas/NumPy and SQL.

The Senior Python Full Stack Developer will architect, develop, and deploy cloud-native applications and services while leading engineering teams and improving CI/CD processes.

The SAS to Python/R Migration Developer converts SAS code into Python/R, ensuring code accuracy and performing validations. The role involves data transformation, debugging, developing tests, and optimizing workflows while collaborating with stakeholders.

As a Python Engineer, you will design CI/CD tools, optimize trading systems, collaborate with teams, and manage databases in a cloud environment.

Build and maintain the SaaS product, data pipelines, AI agents, and telemetry; contribute to product and tech strategy; work with customers; set engineering best practices and mentor teammates.

Build and scale backend systems for a B2B SaaS platform, including data pipelines, AI agents, telemetry and document/data extraction; contribute to product direction, work with clients, champion best practices, and mentor team members.

The Software Engineer II will design and troubleshoot large-scale distributed systems, optimize code, automate tasks, and ensure operations during critical events.

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