Top Remote Scala Jobs in San Diego, CA

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 Azure Data Engineer will design and maintain data pipelines using Azure technologies, optimize data flows, and ensure data quality, collaborating with various stakeholders.

Lead the design and management of scalable data pipelines, develop canonical datasets, drive data architecture decisions, and partner with cross-functional teams to deliver impactful solutions.

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.

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.

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 maintain scalable distributed systems for Machinify's AI platform, utilizing Java and Scala, with emphasis on database management and cross-functional collaboration.

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.

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.

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.

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.

The MDP Platform Engineer III designs and optimizes cloud solutions on Databricks and Azure, ensuring compliance, driving innovation, and collaborating with DevOps teams for deployment automation while providing technical support and managing projects effectively.

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.

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.