Top Remote Scala Jobs in San Diego, CA

Design and scale systems for real-time ad delivery during live events, partnering across teams to enhance automation and optimize monetization.

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

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

The Software Engineer II will develop backend features within Iterable's platform, collaborating with cross-functional teams and prototyping AI and ML capabilities.

As a Solutions Architect, you'll lead data migrations to Snowflake, design data engineering pipelines, resolve technical challenges, and enhance tooling based on customer engagements.

The Senior Software Engineer will develop and maintain foundational ML infrastructure for feature computing, storage, and retrieval, impacting numerous teams at Reddit.

Lead the development of an AI-driven growth platform for Airbnb, collaborating with cross-functional teams to design and optimize systems, and mentor engineers.

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

Design and implement the zkSync smart contract platform, develop system contracts, and shape protocol roadmap in collaboration with teams and partners.

Lead the design and maintenance of infrastructure and deployment tools, mentor other engineers, and enhance product delivery processes.

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.

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.

As a Forward Deployed Engineer, you will design and deliver custom fullstack applications on the Databricks platform, focusing on customer impact through technical solutions and collaboration.

Design, implement, and maintain APIs, architect and deploy microservices, build data pipelines, and optimize system reliability while collaborating with cross-functional teams.

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.

As a Senior Full Stack Engineer, you will develop JavaScript applications, enhance the analytics platform, and improve app visibility based on user feedback.

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

The Machine Learning Engineer will develop and enhance ML-powered products focusing on models, metrics, pipelines, and collaboration with product teams.

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 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.