Top Scala Jobs in Atlanta, GA

The Senior Software Engineer will enhance AI system reliability, performance, and scalability, focusing on distributed services and collaborating with ML researchers.

The Senior Software Engineer will build and enhance 15Five's Data Intelligence Platform while collaborating with Data Science and Product Engineering teams.

Design, build, and own scalable data pipelines and products for Content Finance, shaping data engineering practices and enhancing financial decision-making at Netflix.

Design and develop a scalable storage engine, lead engineering efforts, collaborate cross-functionally, and mentor junior engineers while ensuring system reliability and performance.

The Senior Data Engineer will design and maintain data pipelines, collaborate with teams to ensure data integrity and quality, and implement best practices for data management and compliance in healthcare.

Build a data-focused product using open source solutions, focusing on both backend and frontend development while ensuring low-latency system performance.

As a Software Engineer IV, you will design and implement full-stack cloud-native solutions, mentor developers, and enhance product stability and scalability for healthcare applications.

You will architect and develop data products for Netflix Ads, build data pipelines, and collaborate with various teams to ensure data quality and governance.

The Senior Backend Engineer develops core product features in ETL and GraphQL, designs APIs, builds ETL pipelines, and collaborates with frontend teams.

The role involves developing high-performance data processing systems, collaborating across teams, and improving data infrastructure at Airbnb. It requires designing scalable data architectures and advocating for engineering quality in data operations.

The Senior Data Engineer will design, build, and maintain data infrastructure, focusing on data pipelines, ETL processes, and data governance while collaborating with cross-functional teams.

Design, build, and maintain scalable Scala-based Big Data applications and pipelines using Spark and Kafka. Participate in technical design, implement ETL/data modeling and performance tuning, write tests, troubleshoot production issues, and advise stakeholders on best practices to integrate enterprise data into an analytical warehouse.

Design and develop backend services in Scala, build RESTful APIs, optimize performance, collaborate with teams, and troubleshoot issues.