Top Remote Scala Jobs in Miami, FL

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.

Join Hopper's Flights Platform team to develop and maintain a high-volume flight booking system, focusing on feature delivery, system reliability, and integration with airline partners.

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.

The Platform Architect designs, integrates, and evolves the NexusOne data platform, ensuring compliance and fostering collaboration across teams.

As a Data Solutions Architect, you'll engage clients, design data solutions, lead projects, and ensure governance and quality in data architecture.

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

Build a next-generation ML data and feature infrastructure platform to enhance the productivity of ML practitioners and improve feature accessibility.

Join Netflix's Algorithms team as a Machine Learning Software Engineer to design and develop solutions for personalization systems. Collaborate on scalable machine learning algorithms and enhance software engineering practices.

As a Founding Engineer, you'll develop disruptive observability products, optimize software stacks, engage with customers, and contribute to company culture.

As a Staff Software Engineer in Data Systems, you'll build and optimize data pipelines, drive architecture decisions, and collaborate for scalable solutions in a fast-paced e-commerce environment.

The Solutions Architect will design and implement data solutions while mentoring engineers, ensuring performance and security, and communicating effectively with clients.

The Staff Software Engineer will develop scalable systems and oversee the engineering processes while mentoring junior engineers and enhancing EHR interfaces for clinicians.

Design and architect scalable data platforms using Alibaba Cloud services, lead development of data ecosystems, and define data strategies for clients.

The Staff Data Engineer will develop and optimize data models and pipelines, collaborate with cross-functional teams, and provide technical mentorship while ensuring data quality and stability.

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.

The Sr. Staff Data Platform Engineer will architect data infrastructure, manage data governance, lead engineering excellence, and mentor engineering teams. You will focus on building scalable data solutions and optimizing cloud workloads.

The Senior Software Engineer - Data will build scalable software products leveraging data, mentor team members, and define data strategies, while focusing on customer-oriented solutions and architecture.

Develop and maintain core backend systems and data infrastructure; collaborate with teams on scalable solutions and ensure data quality and reliability.

As a Software Engineering Intern at Acorns, you'll collaborate with teams to develop solutions, write maintainable code, and participate in a project from concept to delivery, culminating in a presentation.

You will design, build, and maintain scalable applications using Java and JavaScript, collaborating across teams and managing databases.

Lead technical vision for ML-oriented data products, architect and build distributed data systems, ensuring reliability and observability. Provide mentorship and shape data architecture decisions to support ML needs.

This role involves developing low-latency data products and building reliable distributed data systems to support algorithms and machine learning at Netflix.

Develop and maintain web-based tools for AI/ML practitioners, improve model observability, enhance user experience, and collaborate cross-functionally. Drive product excellence and improve systems and codebase.