Top Scala Jobs in Phoenix, AZ

As a Senior Software Engineer, you will develop backend services in Java for search functionalities, integrate AI technologies, and mentor team members.

The Senior Infrastructure Engineer will design and maintain complex infrastructures while applying software engineering and SRE principles, leveraging automation tools, and collaborating with distributed teams.

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

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.

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

Responsible for building and modernizing data science tools and assets, writing analytics software, and guiding data scientists in best practices.

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

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

Design and optimize machine learning pipelines for large-scale systems, integrating models into user features and ensuring data integrity and performance.

Lead the design and optimization of ML systems at Scribd, managing cross-team projects, mentoring engineers, and shaping technical direction for ML initiatives.

The Software Engineer II will design and optimize distributed systems for processing metadata, collaborating closely with cross-functional teams to integrate machine learning models into production pipelines.

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.

The role involves designing, building, and scaling data pipelines, collaborating with cross-functional teams, and leading technical direction. It includes mentoring team members and promoting best practices in software development.

Lead the design and management of scalable data pipelines, develop canonical datasets, drive data architecture decisions, and partner with cross-functional teams to deliver impactful solutions.

This role involves providing technical leadership and support to partners using Databricks to develop B2B products, focusing on solution architecture and implementation guidance.

Develop and maintain software applications for data processing, collaborate with teams to meet data requirements, and implement data quality checks.

The Azure Data Engineer will design and maintain data pipelines using Azure technologies, optimize data flows, and ensure data quality, collaborating with various stakeholders.

The role involves analyzing data security, designing Databricks components for access control, and collaborating on architecture documentation.

The Databricks Architect will design and implement data architecture solutions using Databricks, AWS, and Snowflake, focusing on MLOps and data governance.

The role involves data pipeline development and management using Azure stack, Scala, and Kafka, while ensuring data quality and efficiency with strong analytical skills.

Lead a team in developing an AI platform that enhances healthcare. Drive technical solutions, build a high-performing team, and collaborate with stakeholders to achieve business outcomes.