Top Python Jobs in Minneapolis, MN

The Engineering Manager will lead a team of engineers to build mission-critical systems while ensuring high performance, quality, and operational excellence. Responsibilities include overseeing team metrics, designing and launching new features, ensuring secure coding practices, and collaborating to enhance user experience. This role also involves supporting applications in production and working with the Head of Engineering to improve the organization.

Lead the design, development, and execution of comprehensive test plans, collaborating with cross-functional teams and mentoring junior engineers to improve quality engineering processes and ensure high-quality software products.

As a Senior Software Engineer on the pricing and discounts team, you will enhance ecommerce products by creating integrations with point of sale systems and help in mentoring other engineers. You will work with various technologies like Ruby on Rails and TypeScript to improve product quality and scalability.

The Software Engineer role involves building and scaling data pipelines, processing and ingesting large datasets, and developing ETL processes. Collaboration with various stakeholders to ensure data integrity and delivering insights is key.

MotiveMetrics seeks a Staff Front End Engineer to enhance their customer-facing application utilizing AI and machine learning. Responsibilities include working with JavaScript frameworks, designing and deploying web applications, and leading engineering teams while ensuring system quality and stability.

The Staff Software Engineer will focus on developing and managing cryptographic security tools and libraries at Gemini, enhancing the security of digital assets. Responsibilities include building software for multi-party computation, applying cryptographic methods, maintaining security solutions, and collaborating closely with multiple engineering teams.

As a Software Engineer at Acryl Data, you'll enhance a Python-based ingestion framework to support data ingestion from various systems like Snowflake, Redshift, and Kafka. Your role involves building connectors for major systems in the modern data and ML stacks and enabling the ingestion framework to operate in a cloud-native environment.