Top Scala Jobs in Atlanta, GA

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.

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.

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.

Design and implement microservices, develop software, troubleshoot issues, and collaborate with teams to meet business needs and quality standards.

As a Staff Data Engineer, you'll design data models and pipelines, mentor engineers, and lead initiatives to enhance Scribd's data platform, ensuring quality and scalability.

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

Looking for a Scala Engineer to develop scalable backend systems, utilizing Cats, FS2, and Kafka, and working with PostgreSQL. Optional experience with LLMs and IM protocols is a plus.

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

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.

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.

The Databricks Solutions Architect will lead the design and implementation of scalable solutions on Databricks, engage with customers, provide technical leadership, and optimize performance for data processing and AI workloads.