Top Scala Jobs in Kansas City, MO

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 Senior Manager, you'll lead teams to solve complex business issues through data analytics, aligning client strategies with modern cloud data environments.

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

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

As a Senior Machine Learning Engineer, you will develop scalable ML solutions, collaborate with teams, optimize models, and implement best practices for deployments and infrastructures.

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.

Design and implement scalable data architectures, manage data quality, ensure compliance, and lead data teams to drive business intelligence and operational efficiency.

Lead the QA team at NinjaTrader, integrating quality into the SDLC and using automation tools. Drive a comprehensive QA strategy focused on user experience and continuous improvement metrics.

Design and develop web applications, work with product teams to refine requirements, collaborate on code, and ensure performance and scalability.

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.

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

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.

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.

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

Lead the development of low-latency trading platforms by managing engineering teams, defining technical strategy, and ensuring high-performance operations.

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.

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 role involves developing and managing scalable cloud infrastructure, automating tasks, and leading technical projects in a 24/7 on-call environment.

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

Oversee a software engineering team, create plans, mentor members, ensure code quality, and collaborate on product development. Advocate for innovative technologies and drive engineering efficiency.

The Senior Data Engineer designs and maintains data platforms and ETL pipelines, mentors peers, and leads complex projects to enhance community civic engagement.

As a Technical Lead Engineer, you'll design and develop Smart Camera features, lead a team in delivering SaaS solutions, and collaborate with various teams to enhance user experience.

Design and build secure data pipelines, lead data architecture, collaborate across teams, ensure data quality, and mentor other engineers.

The Data Engineering Manager will lead and manage a team, oversee data pipelines, ensure reliability, and mentor engineers while working on data architecture and analytics.