Top Senior Level Python Jobs in Boise, ID

As a Senior Backend Engineer for the Data Platform team at Postscript, you'll design and build scalable data systems, create integrations for ecommerce platforms, and support internal BI systems while mentoring fellow engineers. This role emphasizes high-quality code and data reliability.

As a Lead Data Engineer at DICK'S Sporting Goods, you will design and support the data warehouse architecture, facilitate ETL processes, and collaborate with teams to deliver high-quality data insights. Responsibilities include managing data domains, mentoring team members, and leading design sessions to improve data engineering practices, while ensuring reliability and scalability of data solutions.

As a Machine Learning Solutions Architect at phData, you will design and implement data solutions to meet customer needs. Your role includes providing thought leadership on technologies, ensuring solution deployability, and working closely with data scientists to transform data into actionable insights while managing the entire lifecycle of machine learning models.

The Advanced Analytics Research Scientist will develop and test AI-driven control and optimization technologies, integrate AI solutions into real-time industrial automation systems, and collaborate with stakeholders. They will also monitor industry trends and incorporate feedback from proofs of concept (POC) into AI engines.

As a Senior Software Engineer II in ML Core, you will define architecture and implement changes across backend services for Splice's products, optimize search infrastructure, and advocate for scalable system designs. You will focus on improving customer experience and mentor other engineers.

The Principal Engineer will lead cross-functional projects, pioneer new immersive technologies, mentor engineers, and provide architectural guidance while ensuring best practices in building high-scale systems. This role balances technical expertise with strong business acumen.

The Senior Software Engineer will design, build, and maintain scalable machine learning systems, collaborating closely with engineers and researchers. Responsibilities include deploying ML models, managing cloud services, and developing infrastructure for rapid ML development.