Top Scala Jobs in San Diego, CA

The Big Data Engineer will implement data integration and data warehouse solutions, develop data pipelines, and utilize various big data technologies.

The Solutions Engineer will engage with clients to address data challenges, demonstrate SingleStore products, and provide feedback to product teams while staying updated on database technologies.

Lead and manage a software engineering team focused on data acquisition, ensuring scalable and reliable data ingestion systems while driving technical excellence and collaboration across teams.

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

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.

The Databricks Architect will design and implement data architecture solutions using Databricks, AWS, and Snowflake, focusing on MLOps and data governance.

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

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 Senior Site Reliability Engineer, you'll design, build, and deploy tools to enhance developer efficiency, manage cloud services, and ensure production reliability through collaboration with development teams.

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.

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

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

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

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 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.

The Staff Software Engineer will architect and implement scalable data systems, collaborate with teams, mentor engineers, and ensure data integrity.

Lead the design and development of Kafka-based data pipelines, engage with Army stakeholders, and mentor junior developers in optimized data solutions.

As a Senior Software Engineer, you will design and enhance Zillow's real-time streaming infrastructure using Kafka and Flink while driving complex initiatives within the Data Platform organization.

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

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.

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.