Top Python Jobs in Phoenix, AZ

Develop and maintain features for DroneDeploy's ground mobile app, collaborate with teams, and contribute to quality assurance through testing and debugging.

As a Sales Engineer, you will conduct demos, manage proof of concepts, and work closely with Account Executives to meet customer requirements, while traveling 50% of the time.

Responsible for managing third-party support platforms, collaborating with teams to improve workflows, and providing user support in a SaaS environment.

Design and develop automation solutions for manufacturing, integrate software with systems, gather requirements, validate software, and provide technical support for operations.

The Senior Product Analyst will drive data-informed decision-making, optimize customer journeys, lead A/B testing, and collaborate cross-functionally to improve conversion rates for personal loan and credit card products.

As a Senior Software Engineer at Choice Hotels, you will lead system design, mentor junior developers, and drive improvements in cloud-based hotel management software.

This internship involves contributing to engineering projects in software, R&D, operations, and quality, while participating in hands-on work and professional growth activities.

The SAP Integration Architect leads the design of integration solutions across SAP ecosystems, ensuring seamless connections with AI-powered platforms, while driving integration standards and leading enterprise customer integrations.

Lead and scale the global software delivery organization, overseeing the entire software development lifecycle with cross-functional teams and ensuring timely project delivery.

The Manager of Application Development will design and develop software applications, manage project execution, and mentor junior team members.

The role involves developing data pipelines, managing data solutions, and collaborating on data product projects while applying software engineering practices.

The Senior DevOps Engineer will architect and implement CI/CD pipelines, ensure infrastructure security, mentor junior engineers, and drive incident response.

Lead the data analytics team, designing scalable data pipelines and ensuring data quality and performance using modern tools and practices.

The Junior Data Scientist will enhance product features, monitor performance, analyz bugs, and collaborate in an agile environment to improve AI systems.

As Principal Software Engineer, you will lead technical solutions, mentor engineers, design scalable systems, and integrate innovative technologies to optimize business processes.

Lead the design and implementation of Amazon Connect cloud solutions, collaborate with teams, mentor members, and ensure performance and scalability.

This role involves technical support for layout verification and parasitic extraction, collaboration with customers, and driving quality in design processes.

The Senior Foundry Applications Engineer provides technical support for AMS design issues, collaborates with teams, and drives quality in design kits.

As a Senior Consultant Data Engineer, you'll design, develop, and implement data solutions, ensuring data quality and integrity, while collaborating with teams on data products and analysis.

The Sr. Director of Data Sciences leads a team of analysts and data scientists, driving product delivery and collaboration across departments to deliver analytics solutions.

The Data Scientist V will develop AI solutions, predictive analytics, and lead data science projects to improve healthcare outcomes. Responsibilities include mentoring, collaboration with expert teams, and project delivery.

The DevOps Engineer 2 is responsible for automating and maintaining critical systems, managing cloud infrastructure, and ensuring secure, high-performance operations.

Design and develop AI-driven solutions, mentor junior engineers, and lead complex projects in a staff software engineering role primarily using Python.

The Sr Analyst supports corporate affairs by implementing technical solutions, collaborating with teams, analyzing data, and creating reports.

Develop quantitative models for risk management, focusing on volume forecasting and capacity planning, while adhering to Model Risk Management standards.