Top Scala Jobs in Chicago, IL

Design and maintain scalable data pipelines, ensuring data quality and collaboration across teams to support analytics and product features.

Lead the design and maintenance of cloud infrastructure, automation, and security; collaborate with teams to enhance reliability and performance.

Lead and grow a software engineering team, ensuring technical excellence and project management. Foster collaboration and provide mentorship while aligning with business goals.

The Staff Software Engineer leads the design and development of scalable AI and data platforms, optimizing infrastructure for analytics and leveraging best practices in MLOps, collaborating across teams, and mentoring engineers.

The Senior Software Engineer will design and develop scalable AI and data platforms, collaborate with teams, and enhance analytics and AI infrastructure.

The Staff DataOps Engineer will lead technical efforts to engineer high-quality revenue cycle management solutions, engage in the full software development lifecycle, and collaborate across teams to enhance processes and practices.

As a Staff ML Engineer, you will enhance Airbnb's machine translation capabilities by designing scalable models, developing infrastructure, and collaborating across teams.

Lead and manage a software engineering team, ensuring high-quality output and alignment with business goals. Foster collaboration and technical excellence while overseeing project execution and resource management.

As a Senior Fullstack Engineer, you'll develop solutions improving agent productivity, lead technical initiatives, and collaborate across teams on product strategy.

As a Senior Principal Engineer, you'll design and maintain scalable data systems, collaborating with teams to optimize data solutions for business needs.

The Sr. Software Quality Engineer is responsible for software verification, test case execution, framework development, and improving testing methodologies while ensuring compliance with PHI.

As a Software Engineer III at Dataminr, you will enhance a distributed AI platform by developing features, collaborating with researchers, and managing microservices for real-time processing.

The Solutions Architect will design and implement data solutions, lead teams, ensure system performance and scalability, and develop technical documentation. Expertise in cloud platforms and programming is required.

Lead backend initiatives, develop machine learning solutions, and enhance customer service by mentoring engineers and improving system functionality.

Design and implement data pipelines, manage workflows, integrate APIs, and deliver reports. Collaborate with teams to enhance data quality and troubleshoot discrepancies.

The Fullstack Engineer will develop and maintain backend services, APIs, and features for billing systems, enhancing performance and integration with frontend systems.

The Data Engineer will build ETL pipelines, enhance entity resolution processes, and collaborate with product and development teams to maintain data infrastructure.