Top Scala Jobs in Las Vegas, NV

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.

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

As a Data Engineer, you will develop data-driven decision analysis products and provide analytic consulting services while collaborating with stakeholders and supporting DoD modernization efforts. The role requires experience in big data analytics and strong communication skills.

The Senior Software Engineer will enhance backend services, manage core infrastructure, collaborate on features, and ensure reliability and data quality.

The Senior Data Engineer will build scalable data pipelines to process data, support platform efficiency, and enable smart analytics at Netflix.

Lead a data engineering team to build scalable, cloud-native data pipelines, ensuring quality and security in collaboration with various teams.

The Senior Backend Engineer develops core product features in ETL and GraphQL, designs APIs, builds ETL pipelines, and collaborates with frontend teams.

The Software Engineer of Data Products will design and deliver scalable data products and APIs, collaborate on architecture, and enhance data infrastructure while focusing on customer-centric solutions.

As a Senior Data Engineer, you will architect and scale data platforms, build data pipelines, mentor junior engineers, and collaborate with cross-functional teams.

The Data Platform Engineering Manager will lead a team to build scalable data solutions, oversee platform architecture, mentor engineers, and ensure operational stability and data governance.

As a Quantitative Engineer II, you will model complex structured finance transactions, enhance reporting tools, and collaborate with internal teams and clients.

The Senior Software Engineer will design, build, and maintain data services and infrastructure, focusing on high-performance and scalable systems, alongside collaboration for data features across the company.

The role involves designing and managing AI solutions using Azure technologies, collaborating with teams to develop intelligent applications, and optimizing machine learning models.

As an Analytics Engineer, collaborate with stakeholders to drive data-driven decisions, develop metrics, and improve data quality for payment experience analysis.

The Azure Data Engineer will design and implement data pipelines using Azure tools, optimize workflows, and ensure data quality. Responsibilities include collaborating with teams, building ETL workflows, and maintaining data governance policies.

This role involves providing technical leadership for adopting Data and AI solutions, consulting on big data architecture, and implementing solutions for customers using Databricks technologies.

The Senior Data Engineer will design, develop, and maintain scalable cloud data infrastructure, optimizing data handling and collaborating across teams to enhance data strategies and quality.

The Sr. Solutions Architect collaborates with customers to design scalable data architectures, drives technical discussions, and builds customer engagements to promote Databricks technologies.

As a Backend Engineer, you will design and maintain backend systems for AI applications, integrate AI models, and optimize system performance while collaborating with product teams.

Develop and maintain software solutions using functional programming, mentor junior engineers, and contribute to formal methods and high-assurance software development.

The role entails designing and maintaining CTR and CVR prediction models, improving ad ranking systems, and ensuring model performance quality. The engineer will also oversee project execution and communicate technical concepts effectively.

The Senior Machine Learning Engineer will design and implement high-performance CTR and CVR prediction models, refine systems for user behavior modeling, and ensure model reliability through performance monitoring while engaging with stakeholders.

The Senior Machine Learning Engineer will design and implement CTR and CVR prediction models, enhancing ad ranking systems and ensuring model quality. Collaboration with team leads and effective communication of technical concepts to stakeholders is essential.