Top Scala Jobs in Minneapolis, MN

Lead a team of data engineers, ensuring high-quality delivery while managing data warehouses, pipelines, and collaborating for actionable insights.

As a Data Engineer/Senior Data Engineer, you will build and optimize data solutions and AI initiatives, managing data pipelines and collaborating with teams to enhance data infrastructure.

The role involves designing, developing, and supporting technical solutions using cloud technologies and big data tools, collaborating in Agile teams, and mentoring others.

As a Staff Software Engineer, lead the evolution of delivery architecture, implement scalable solutions, mentor engineers, and drive technical strategies for Toast's delivery services.

The role involves designing data architecture, implementing data solutions, mentoring team members, and collaborating with stakeholders to convert data requirements into actionable insights.

As a Backend Engineer, you'll develop scalable back-end systems for our Payroll product, manage the full development cycle, and work in a microservices architecture.

As an Analyst in Production Support, you will triage and resolve customer-reported issues using various tools, while collaborating with cross-functional teams to improve product support.

Lead and develop Agentic AI solutions, mentor team members, collaborate on AI applications, and tackle complex challenges in cybersecurity.

Design, code, and operate high performance backend services and data processing systems primarily using Scala and AWS technologies.

As a Staff Machine Learning Engineer at Zocdoc, you will develop and mentor while working on scalable ML models to enhance healthcare search experiences.

The Senior Data Engineer will create scalable data pipelines and manage unstructured data for AI/ML workflows, ensuring data quality and supporting data solutions. Collaboration with cross-functional teams to meet business and security objectives is key.

The Senior Data Engineer will develop and maintain data pipelines, collaborate with Analysts, and ensure high code and data quality on the Hungryroot Analytics model.

As a Senior Machine Learning Engineer, you will design ML APIs, build data pipelines, deploy models, and collaborate with various engineering teams to improve ML solutions for physical operations.

The role involves developing data and analytics strategies for clients, migrating data to cloud environments, and aligning data strategies with business goals.

The role involves managing cloud data strategies, guiding clients on analytics solutions, coaching teams, and implementing data architectures across various cloud platforms.

Design and operate web applications, collaborate across teams, build fullstack systems, mentor teammates, and ensure system performance and reliability.

This role involves verifying features for reliability and performance, building testing frameworks, improving product quality, and collaborating on production outages. Candidates need strong experience in distributed services and APIs, plus testing tools for a Cloud SaaS product.

The Senior Data Scientist will lead data science initiatives, mentor junior team members, conduct analyses, and support decision-making in healthcare.

As a Lead/Senior Machine Learning Engineer, you'll develop AI/ML solutions, collaborate across teams, and drive data-driven strategies to enhance product development and customer value.

The Data Engineer will build and maintain data pipelines, contribute to architecture decisions, support data governance, and mentor peers, focusing on scalability and reliability.

Lead a cross-functional team to build robust data ingestion services and scalable data platforms, while ensuring operational excellence and team development.

Lead the development of a distributed spacecraft ground control system using Elixir. Design resilient software architectures and collaborate across disciplines.

The Backend Product Engineer will enhance the Radar platform, manage API traffic, engage with customers, and work across various backend technologies to drive product success.

Design, code, and maintain components for high-scale applications, lead the software lifecycle, and mentor junior developers while working with Big Data technologies.

As a Lead Full-Stack Engineer, you will design, build, and maintain AI-based and web-based experiences, collaborating with various teams and mentorship.