Top Scala Jobs in Miami, FL

Lead the design and maintenance of infrastructure and deployment tools, mentor other engineers, and enhance product delivery processes.

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.

Lead product design and implementation, mentor engineers, manage projects, and drive innovation in healthcare data solutions.

As a Senior Data Engineer, you will architect data platforms, collaborate across teams, and implement scalable data infrastructures for healthcare data integration.

As a Software Engineer in Revenue Finance Infrastructure, you will design and evolve architectures for scalable revenue financial workflows, handle massive data processing, and collaborate with cross-functional teams.

As a Senior Backend Engineer at Eight Sleep, you will develop and maintain back-end services and improve data processing, supporting critical business logic in distributed systems.

As a Forward Deployed Engineer, you will design and deliver custom fullstack applications on the Databricks platform, focusing on customer impact through technical solutions and collaboration.

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.

The Machine Learning Engineer will develop and enhance ML-powered products focusing on models, metrics, pipelines, and collaboration with product teams.

The Staff DevOps Engineer leads DevSecOps practices, architecting systems for scalability and security, mentoring teams, and optimizing CI/CD pipelines.

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.

Design, implement, and maintain APIs, architect and deploy microservices, build data pipelines, and optimize system reliability while collaborating with cross-functional teams.

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 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.

As a Senior Full Stack Engineer, you will develop JavaScript applications, enhance the analytics platform, and improve app visibility based on user feedback.

The Senior Software Engineer will design and develop high-volume distributed data processing systems, improving algorithms, managing large datasets, and collaborating with multiple teams to meet data ingestion needs.

Lead the design and development of a data platform, integrating data sources, driving architecture migration, and ensuring robust data governance and API development.

The role involves architecting and maintaining scalable data pipelines, ensuring data quality, and collaborating on data strategy. Ideal candidates have experience with AWS services and data governance in healthcare.

Lead the design and implementation of systems for a real-time ML-based advertising stack, mentor engineers, and drive architectural direction.

As a Software Engineer, you'll design and build scalable data solutions, collaborate with teams for business requirements, ensure data quality, and mentor early career engineers.

Develop and maintain scalable distributed systems for Machinify's AI platform, utilizing Java and Scala, with emphasis on database management and cross-functional collaboration.

As a Senior Software Engineer, you'll build and improve Thrive's microservices and applications, collaborating with cross-functional teams to enhance health and productivity.

Design and develop reliable distributed data systems to deliver high-quality data for Netflix's product, collaborating with data scientists and engineers.