Top Scala Jobs in San Antonio, TX

The engineer will design and maintain auto-bidding algorithms, optimize ad delivery systems, and collaborate on engineering projects for campaign performance.

The Data Architect at Ciena is responsible for developing scalable data architectures, managing data governance, and collaborating across teams to enhance data integration and AI capabilities.

The Senior Software Engineer will develop and maintain foundational ML infrastructure for feature computing, storage, and retrieval, impacting numerous teams at Reddit.

Lead a data engineering team focusing on building scalable cloud-native data pipelines. Promote best practices, agile methodologies, and team development.

Lead ML projects to optimize search and recommendations at Airbnb, collaborating with cross-functional teams to enhance user experience and business impact.

The Senior Backend Developer will design, implement, deploy, and operate backend systems for fintech integrations, working in an agile environment with a focus on quality and collaboration.

The Principal Software Engineer will lead architecture and technical initiatives, mentor engineers, deliver scalable systems, and integrate AI into platform solutions.

Solutions Architect leads customer adoption of Databricks solutions, designs data systems, consults on big data architecture, and develops implementations.

Develop customer engagement strategies, coach junior architects, influence stakeholders, and provide technical solutions in a presales role.

As a Staff ML Engineer, you will develop and deploy machine translation models, collaborating across teams to enhance Airbnb's translation capabilities and improve global guest experiences.

Lead the design and maintenance of infrastructure and deployment tools, mentor other engineers, and enhance product delivery processes.

As a Senior Site Reliability Engineer, you will ensure our software systems' availability and performance, develop tools for reliability, and lead projects. You will collaborate with teams and design solutions to enhance system operations.

The Backend Software Engineer will build scalable backend systems, work with databases like Postgres and MongoDB, and improve API performance.

Design and implement the zkSync smart contract platform, develop system contracts, and shape protocol roadmap in collaboration with teams and partners.

Lead design and implementation of health data products, mentor engineers, own multiple projects, and develop scalable data solutions using modern technologies.

Lead design and implementation of products, mentor engineers, drive innovation, and build scalable data solutions using modern tech stack.

Lead product design and implementation, mentor engineers, manage projects, and drive innovation in healthcare data solutions.

The role involves designing, building, and scaling data pipelines, collaborating with cross-functional teams, and leading technical direction. It includes mentoring team members and promoting best practices in software development.

Lead the design and management of scalable data pipelines, develop canonical datasets, drive data architecture decisions, and partner with cross-functional teams to deliver impactful solutions.

This role involves providing technical leadership and support to partners using Databricks to develop B2B products, focusing on solution architecture and implementation guidance.

The Azure Data Engineer will design and maintain data pipelines using Azure technologies, optimize data flows, and ensure data quality, collaborating with various stakeholders.

The role involves analyzing data security, designing Databricks components for access control, and collaborating on architecture documentation.

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

Lead a team in developing an AI platform that enhances healthcare. Drive technical solutions, build a high-performing team, and collaborate with stakeholders to achieve business outcomes.