Top Remote Scala Jobs

As a Principal Data Engineer, you will build and optimize data pipelines, manage data storage systems, and ensure platform scalability and reliability, collaborating with teams to deliver data solutions.

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.

The Software Engineer L5 will design, build, and maintain developer productivity tools for machine learning teams, requiring strong software engineering and design skills with a focus on large CI/CD systems.

The Data Engineer will build low-latency data products, manage distributed systems and ensure high-quality data for Netflix's product features, collaborating with data scientists and engineers.

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.

The Senior Data Analytics Engineer at Uniswap Labs will develop data infrastructure, optimize data processes, and support data analytics to drive business insights.

The Data Architect will design data architecture, define technology stacks and collaborate with teams to build data products, ensuring data quality and solution scalability.

The Senior Data Engineer will design and implement robust data infrastructure, create data pipelines, and support machine learning models in collaboration with teams.

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 Data Engineer II will develop and maintain data pipelines, optimize workflows, troubleshoot issues, and implement best practices while collaborating with cross-functional teams.

As a Senior Data Engineer, you'll build scalable data pipelines, manage data systems, and ensure data reliability, collaborating with teams to meet data needs.

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.

Solutions Architects at Databricks will lead the growth of the Unified Analytics Platform, consulting and implementing solutions for customers, while providing technical leadership and building relationships as trusted advisors.

As a Machine Learning Engineer II, you will prototype AI-powered music and podcast recommendations, collaborate with teams, and enhance AI engineering practices.

Design and build scalable web applications, ensuring extensibility and security, with a focus on both frontend and backend development. Collaborate to balance feature development and tech debt, while applying ML techniques to improve data processing.

As a Software Engineer (L3) at Twilio, you will design and build scalable messaging systems, own code from development to deployment, and work collaboratively with cross-functional teams.

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.

As a Senior Full Stack Engineer, you'll design and develop scalable applications and services, ensuring reliability and user-friendliness while collaborating across teams to deliver high-quality products.

Lead the design and optimization of programmatic bidding systems, collaborating with engineers and applying analytical methodologies to enhance performance.

The Data Engineer will design, build, and maintain data pipelines, ensuring integration with analytics tools and improving data quality across the organization.

Design and implement scalable data pipelines for processing and storing large data volumes, monitor performance, and mentor junior engineers.

Design and implement data ingestion pipelines, develop reusable components, support observability, and partner with data consumers to enhance data integration.

Lead the design and deployment of agentic AI systems, focusing on generative AI, orchestration frameworks, and cloud-native infrastructures.