Top Remote Senior Level Python Jobs in Dallas, TX

As a Senior Integrations Engineer at Shift4, you will develop and implement integration strategies, oversee integration components such as APIs and web services, collaborate with cross-functional teams, analyze systems for integration opportunities, and ensure quality assurance for integration projects.

The Senior Energy Engineer will manage onboarding of new sites, develop and implement energy management programs, support performance monitoring of energy resources, identify optimization opportunities, and assist business development through proposals and presentations.

The role involves developing and implementing design automation strategies, collaborating with clients, ensuring quality assurance, and educating the firm on various design automation tools. The candidate will also drive R&D in emerging technologies and locate new process improvement opportunities while being a thought leader in the AEC industry.

The Lead Back End Engineer will lead a backend development team, design scalable backend solutions, manage AWS services, maintain legacy Python/Flask systems, optimize PostgreSQL databases, and apply distributed application design. The role emphasizes collaboration with front-end teams and practicing test-driven development to ensure code quality.

The Senior Software Engineer in Reliability Engineering will design and build software solutions, perform business analysis, improve software observability, and support enterprise system initiatives. The role emphasizes collaboration, maintenance, and optimization of existing software while mentoring junior teammates. The engineer will focus on enhancing data and analytics tools for athlete experiences at DICK'S Sporting Goods.

The MLOps Engineer will be responsible for training, deploying, and monitoring machine learning models using AWS technologies. They will collaborate with Data Engineers and Data Scientists to develop pipelines and build testing frameworks, leveraging tools like Apache Airflow and Docker. They should have deep knowledge of machine learning frameworks and AWS services for effective model evaluation and implementation.

In this role, you will build client-facing applications, using both front-end and back-end technologies, especially React.JS and Python. You will focus on displaying large datasets efficiently and collaborate with senior teams to minimize bugs. You will also drive architectural decisions within a small team.