Top Senior Scala Jobs in Miami, FL

Design and develop scalable full stack applications, collaborate with cross-functional teams, mentor junior engineers, and maintain cloud infrastructure on AWS.

Design and maintain scalable backend systems, collaborate with frontend teams, and improve real-time monitoring or web scraping at Pear Commerce.

The Principal Software Engineer will lead architecture and technical initiatives, mentor engineers, deliver scalable systems, and integrate AI into platform solutions.

Build reliable data pipelines and intuitive data products to mitigate security and fraud risks, leveraging big data technologies.

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 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.

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

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 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 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.

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.

Develop and deploy machine learning models for real-time ad systems, optimizing inventory management, targeting, and campaign effectiveness for Netflix's advertising platform.

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.

Seeking a Senior Java Software Engineer for developing the Security Data Lake platform, focusing on data ingestion and processing while leading team features and ensuring code quality.

The Data Engineer will design, build, and maintain scalable data processing pipelines, collaborate with teams, and ensure data reliability and quality.

The Senior Data Engineer will design and optimize data ingestion and processing systems, implement real-time analytics, and collaborate with engineering teams for high-performance data solutions.

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 data processing systems, enhance data pipeline efficiency, collaborate with cross-functional teams, and support high-scale systems. Lead innovations in data engineering practices.

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.