Top Remote Scala Jobs in San Diego, CA

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.

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.

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.

Design and build scalable backend services, APIs (REST/gRPC), cloud-native microservices, and data pipelines. Ensure reliability, observability, security, and collaborate with product and design to deliver production-grade features.

The Principal Software Engineer will lead architectural direction, integrate AI capabilities, mentor engineers, and tackle complex technical challenges for scalable systems.

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.

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.

Lead the design and development of scalable data acquisition systems, architect core platform components, and mentor engineers while ensuring data quality and system reliability.

The CTO/Technical Lead will oversee the architecture and engineering of Waybridge's financial protocol, managing fullstack development and building a small engineering team. Responsibilities include smart contract design, backend and frontend ownership, and team management.

As a Principal Software Engineer, you will architect AI-enabled systems, mentor teams, and guide technical decisions for scalable products.

The Platform Architect designs, integrates, and evolves the NexusOne data platform, ensuring compliance and fostering collaboration across teams.

As a Data Solutions Architect, you'll engage clients, design data solutions, lead projects, and ensure governance and quality in data architecture.

The Solutions Architect will design and implement data solutions while mentoring engineers, ensuring performance and security, and communicating effectively with clients.

The role involves leading technical initiatives in automating network engineering for Elastic's infrastructure, developing cloud network solutions, and collaborating in a team-focused environment to enhance platform reliability.

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.