Top Scala Jobs in San Diego, CA

The Solutions Architect leads the design and implementation of data solutions, mentors engineers, develops technical production solutions, and communicates with clients.

The Staff Data Scientist will develop predictive models, optimize supply and demand, perform testing, and mentor junior data scientists using advanced data science techniques.

The Senior ML Engineer designs and develops advanced machine learning models, collaborates with teams, monitors model performance, and implements MLOps practices for scalability.

The Senior Data Engineer will build scalable data pipelines to process data, support platform efficiency, and enable smart analytics at Netflix.

Lead a data engineering team to build scalable, cloud-native data pipelines, ensuring quality and security in collaboration with various teams.

The Senior Backend Engineer develops core product features in ETL and GraphQL, designs APIs, builds ETL pipelines, and collaborates with frontend teams.

As a Senior Data Engineer, you will architect and scale data platforms, build data pipelines, mentor junior engineers, and collaborate with cross-functional teams.

The Data Platform Engineering Manager will lead a team to build scalable data solutions, oversee platform architecture, mentor engineers, and ensure operational stability and data governance.

As a Quantitative Engineer II, you will model complex structured finance transactions, enhance reporting tools, and collaborate with internal teams and clients.

The Senior Software Engineer will design, build, and maintain data services and infrastructure, focusing on high-performance and scalable systems, alongside collaboration for data features across the company.

The Azure Data Engineer will design and implement data pipelines using Azure tools, optimize workflows, and ensure data quality. Responsibilities include collaborating with teams, building ETL workflows, and maintaining data governance policies.

This role involves providing technical leadership for adopting Data and AI solutions, consulting on big data architecture, and implementing solutions for customers using Databricks technologies.

As a Backend Engineer, you will design and maintain backend systems for AI applications, integrate AI models, and optimize system performance while collaborating with product teams.

As a Sr. Solutions Engineer, you'll lead technical strategies for enterprise accounts focusing on data-driven solutions and adoption of ML & AI while collaborating with sales and technical teams to drive success.

The Senior Machine Learning Engineer will design and implement high-performance CTR and CVR prediction models, refine systems for user behavior modeling, and ensure model reliability through performance monitoring while engaging with stakeholders.

Design and implement high-performance CTR and CVR prediction models, ensuring reliability and quality while collaborating with team leads on project direction.

The role involves designing and implementing distributed systems for batch inference workloads, creating developer-friendly APIs, and fostering engineering excellence.

The Data Infrastructure Engineer will design and maintain data systems for large-scale AI model training, handling structured and unstructured datasets while ensuring data quality and scalability.

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 Sr Specialist Solutions Architect, you will guide customers in building big data solutions using Databricks, requiring production experience with Apache Spark and expertise in data technologies.

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.

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

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

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.