Top Scala Jobs in San Diego, CA

This Data Engineer role involves developing data infrastructure for analytics and Data Science, collaborating with cross-functional teams, mentoring, and facilitating rapid data prototyping and development.

As a Senior Data Engineer, you'll develop data solutions by ingesting and transforming healthcare data, collaborating with Data Scientists and Product Managers to support analytics and AI/ML development.

As a Senior Software Engineer on the Semantic Data Modeling Team, you'll design scalable data models, implement transformation logic, and ensure data consistency across domains for WEX's enterprise data platform.

The Senior Data Engineer will design and maintain data pipelines, collaborate with teams to ensure data integrity and quality, and implement best practices for data management and compliance in healthcare.

Lead the Core Platform team focusing on platform engineering, manage backend engineers, and ensure scalable architecture for AI healthcare products.

The Senior Data Engineer will design, build, and manage data pipelines, collaborate with stakeholders, troubleshoot errors, and optimize analytics capabilities.

The Staff Software Engineer will lead the development of scalable AI and data platforms, mentor engineers, and ensure best practices in data governance. Responsibilities include architecture design, collaborating across teams, and integrating advanced technologies to optimize platform performance.

The Cloud Director will lead the design and operation of Plume's cloud platform, focusing on scalability, security, and effective team management while ensuring high availability and compliance.

As a QA Engineer I, you will advocate for quality by executing tests, collaborating in agile teams, and supporting automation initiatives for financial data analytics products.

As a Specialist Solutions Architect, you'll provide technical leadership, architect data pipelines, and support customer implementations on big data solutions using Databricks. You'll guide customers, collaborate with solution architects, and mentor others in best practices.

The Senior Data Engineer will design, build, and maintain data pipelines and ETL processes to enable analytics and debugging for robotics operations. The role involves collaboration across teams to ensure high-quality data capture and transformation.

The Senior Software Engineer will design, implement, and maintain backend systems for Hopper's Fintech integrations, contributing to both B2C and B2B2C solutions, and collaborating with cross-functional teams.

As a Backend Software Engineer, you will develop core features for a customer platform, work with diverse technologies, and implement industry best practices.

As a Staff Software Engineer, you will develop scalable distributed data storage systems, mentor engineers, and uphold engineering standards.

In a future role, you will lead initiatives to build and improve data pipelines, collaborate with data scientists, and optimize performance and cost efficiency.

The Software Engineer will collaborate to build scalable data products and APIs, evolve data models, and drive architectural decisions for the Data Products team at Demandbase.

Responsible for the architecture and implementation of key components of a modern data platform, driving technical innovation, mentoring engineers, and collaborating across teams to enhance platform capabilities and reliability.

The role involves designing, building, and maintaining data infrastructure and platforms, optimizing performance, and leading a team of data engineers.

Lead the Data Engineering team to build scalable data infrastructure, oversee analytics capabilities, and enable data-driven decision-making across the company.

Lead a team of data engineers to build scalable data pipelines and infrastructure, ensuring data quality, governance, and compliance in a healthcare setting.

Manage the Ads API team, set technical vision, drive architectural decisions, ensure best practices, and collaborate with stakeholders to empower advertisers and partners.

Design and build scalable backend systems, contribute to backend development, prioritize deliverables, and design frameworks for ML applications.

As a Senior Cloud Engineer, you will design, implement, and troubleshoot scalable applications in a Kubernetes ecosystem while collaborating across teams and writing maintainable code.

The candidate will guide partners in using Databricks on AWS, focusing on big data solutions, providing technical leadership, and conducting training for partners.

Lead the design and implementation of AI-driven Payer solutions, mentor engineers, and influence tech decisions on complex data systems.