Top Scala Jobs in Miami, FL

Design and build scalable data platform infrastructure, ensuring data accessibility and reliability. Support teams in data transformations and foster collaborations for better decision-making.

Lead and manage the data engineering team, architect resilient data infrastructure, ensure data quality, and enable accessible data for business stakeholders.

As a Manager, lead teams to design and develop large-scale distributed systems using programming languages like Java and Python. Mentor junior staff, ensure project success, and maintain high standards while fostering innovation and leveraging technology.

The Senior Data Engineer will design, build, and operate data pipelines for Zeta's AdTech platform, focusing on high-scale data processing and analytics-ready datasets.

Design and develop software solutions enhancing user experience for Governance features, contribute to open-source software, communicate technical designs, and support team quality through reviews.

Develop and manage high-performance back-end systems, design secure APIs, optimize performance in cloud environments, conduct testing, and manage ML model lifecycles.

Design and develop backend services and APIs for identity resolution, optimize event-driven systems, and enhance system reliability. Mentor engineers and influence architectural decisions.

Lead and grow the Data Platform engineering teams to deliver a managed Lakehouse and data services (Snowflake, Flink, Iceberg, Airflow). Define roadmap, drive scalable pipeline design, ensure reliability and security, collaborate with cross-functional stakeholders, and represent technical thought leadership externally.

As a Senior Software Engineer, you'll develop and deploy backend systems for Hopper's Fintech team, enhancing travel technology. Responsibilities include mentorship, code improvement, and project ownership.

The Engineering Manager will lead a technical team, mentor engineers, manage complex B2B integrations, and ensure system reliability while collaborating with product teams.

Design, build, and scale backend systems and B2B fintech integrations for HTS. Implement full-stack features, collaborate with cross-functional teams, iterate rapidly, and ensure high availability, performance, and testable code in a microservices architecture.

Lead the data engineering team, manage projects, ensure data solution scalability, collaborate with stakeholders, and drive adoption of new technologies.

As a Fullstack Engineer, you'll design, build, and operate web applications, collaborating with product teams and mentoring peers while ensuring best practices in coding and system architecture.

The Data Engineer designs and builds data pipelines for analytics, ensuring data quality, governance, and integration across systems, while collaborating with teams for effective delivery.

The Software Engineer will build production data systems for personalization, manage large-scale datasets, and collaborate with algorithm teams for innovation.

The Software Engineer III will design and implement cloud-native full-stack solutions for healthcare applications, improve stability and scalability, mentor developers, and collaborate with cross-functional teams to deliver high-quality software.

The role involves building low-latency distributed data systems for analytics and machine learning at Netflix, collaborating with product teams and ensuring high-quality data delivery.

Lead a team of 4 to 6 software engineers, driving operational, technical, and communication efforts to deliver impactful software solutions in healthcare technology.

The Principal Software Engineer will lead development for Dataminr's Knowledge Platform, focusing on AI and data engineering to enhance knowledge graphs and alerting capabilities.

As a Staff Software Engineer, you will design and implement backend services, write primarily in Scala, and improve product architecture in collaboration with teams.

Lead design and implementation of health data products, mentor engineers, own multiple projects, and develop scalable data solutions using modern technologies.

Lead design and implementation of products, mentor engineers, drive innovation, and build scalable data solutions using modern tech stack.

Develop software for cancer detection by building reliable, scalable backend services. Collaborate with teams and lead projects in a dynamic environment.

The Senior DataOps Engineer will manage data analytics infrastructure, build CI/CD pipelines, provision cloud resources, and maintain data processing environments, ensuring data delivery and operational excellence.

The Big Data Engineer will implement data integration and data warehouse solutions, develop data pipelines, and utilize various big data technologies.