Top Scala Jobs in San Diego, CA

As a Manager, lead teams to design and develop large-scale distributed systems using programming languages like Java and Python. Mentor junior staff, ensure project success, and maintain high standards while fostering innovation and leveraging technology.

The Senior Data Engineer will design, build, and operate data pipelines for Zeta's AdTech platform, focusing on high-scale data processing and analytics-ready datasets.

Design and develop software solutions enhancing user experience for Governance features, contribute to open-source software, communicate technical designs, and support team quality through reviews.

Design and build scalable backend platforms for regulated scientific workflows, ensuring compliance and reproducibility while enhancing performance and usability across cloud environments.

Develop and manage high-performance back-end systems, design secure APIs, optimize performance in cloud environments, conduct testing, and manage ML model lifecycles.

Design and develop backend services and APIs for identity resolution, optimize event-driven systems, and enhance system reliability. Mentor engineers and influence architectural decisions.

Lead and grow the Data Platform engineering teams to deliver a managed Lakehouse and data services (Snowflake, Flink, Iceberg, Airflow). Define roadmap, drive scalable pipeline design, ensure reliability and security, collaborate with cross-functional stakeholders, and represent technical thought leadership externally.

As a Fullstack Engineer, you'll design, build, and operate web applications, collaborating with product teams and mentoring peers while ensuring best practices in coding and system architecture.

The Data Engineer designs and builds data pipelines for analytics, ensuring data quality, governance, and integration across systems, while collaborating with teams for effective delivery.

As a Staff Data Engineer, you will lead in designing, developing, and testing software applications, ensuring quality, scalability, and reliability, while mentoring junior staff and collaborating with teams.

Lead the design and optimization of ML systems at Scribd, managing cross-team projects, mentoring engineers, and shaping technical direction for ML initiatives.

The Software Engineer II will design and optimize distributed systems for processing metadata, collaborating closely with cross-functional teams to integrate machine learning models into production pipelines.

As a Staff Data Engineer, you'll design data models and pipelines, mentor engineers, and lead initiatives to enhance Scribd's data platform, ensuring quality and scalability.

As a Founding Engineer, you'll develop disruptive observability products, optimize software stacks, engage with customers, and contribute to company culture.

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.

Design, build, and operate highly available, low-latency distributed microservices for membership and commerce flows (signup, billing, plan changes). Collaborate cross-functionally to enable growth features, improve platform infrastructure, ensure data accuracy, resolve race conditions, optimize throughput, and provide on-call production support.

Build, operate, and optimize high-throughput backend services and pipelines for ad delivery. Design APIs, ingestion, transformation, caching, and global delivery; improve performance, observability, and resiliency; collaborate with Product and Project leads and contribute to architecture and code quality.

The role requires a Java - Scala Architect to lead data engineering solutions, manage Apache Spark, and work with NoSQL systems while collaborating on data pipelines and processing large datasets.

The Java - Scala Architect will need to program in Java and Scala, manage Apache Spark technologies, and work with NoSQL systems. Additional experience with Hadoop, web services, and data pipeline building is preferred.

The Staff Software Engineer will develop scalable systems and oversee the engineering processes while mentoring junior engineers and enhancing EHR interfaces for clinicians.

The Senior Data Engineer will architect and maintain data pipelines and ETL processes, develop complex data models, and collaborate with business analysts.

Develop and maintain core backend systems and data infrastructure; collaborate with teams on scalable solutions and ensure data quality and reliability.

As a Software Engineering Intern at Acorns, you'll collaborate with teams to develop solutions, write maintainable code, and participate in a project from concept to delivery, culminating in a presentation.