Top Scala Jobs in San Diego, CA

As a Principal Software Engineer, you will build and optimize big data pipelines, design data architectures, and collaborate with scientists to enhance data quality and performance.

The role involves designing CLI and backend services, maintaining code quality, collaborating on technical issues, and writing documentation.

Lead the design and development of scalable data acquisition systems, architect core platform components, provide mentorship, and ensure best practices in software engineering.

As a Solution Architect, you will design and implement data analytics solutions on Azure, integrating data sources and operationalizing cloud infrastructure.

As a Data Engineer, you will build and optimize data pipelines, manage ETL workflows, and ensure efficient data access and quality within the infrastructure.

As a Platform Engineer, you will design and maintain the core platform for zkSync, optimizing developer workflows, building scalable systems, and collaborating with various teams to improve performance and reliability.

Join the Human AI Innovation Team to build AI-enabled applications, combining human and AI tasks. Develop high-quality features using various programming languages and collaborate with researchers and engineers.

As a Senior Data Engineer, you will develop and maintain scalable data solutions, ensuring efficiency and reliability in data processing and engineering high-performance solutions for analytics.

The Senior Software Engineer will enhance the Ads Experimentation Platform, build A/B testing tools, and collaborate with data science and product teams.

Responsible for designing and managing cloud architectures, migrating client systems to the cloud, optimizing data pipelines, and mentoring team members.

The Senior Fullstack Engineer at Sotheby's will drive technical vision and build a modern marketplace, collaborating across teams to innovate and improve internal tools and consumer-facing applications.

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.