Top Scala Jobs in San Antonio, TX

This role involves leading teams to design and develop large-scale distributed data processing systems using various modern programming languages and frameworks, while mentoring junior staff and ensuring project success and high standards.

The role involves leading software engineering teams, developing large-scale data processing systems, mentoring junior staff, and ensuring project success. You will leverage programming languages and technologies like Java and Python, embracing innovation and technology to enhance delivery.

As a Manager, lead teams to design and develop large-scale distributed systems using programming languages like Java and Python. Mentor junior staff, ensure project success, and maintain high standards while fostering innovation and leveraging technology.

Lead and mentor software engineering teams while designing large-scale distributed systems, driving digital transformation, and ensuring project success at PwC.

Design, code, and maintain components for high-scale applications, lead the software lifecycle, and mentor junior developers while working with Big Data technologies.

The Backend Product Engineer will enhance the Radar platform, manage API traffic, engage with customers, and work across various backend technologies to drive product success.

The Data Scientist II role involves analyzing healthcare data, developing models, and delivering insights to support decision-making in a dynamic organization, while leveraging advanced technologies like LLMs and data visualization tools.

Lead data science initiatives focusing on healthcare fraud, waste, and abuse. Perform detection analysis, assess trends, and present findings to support decision-making.

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.

Lead the development of low-latency trading platforms by managing engineering teams, defining technical strategy, and ensuring high-performance operations.

The Senior Data Engineer will design, build, and maintain scalable data pipelines and data systems, collaborating with teams to ensure data quality and performance for a cloud-based product.

The Senior Data Engineer designs and maintains data platforms and ETL pipelines, mentors peers, and leads complex projects to enhance community civic engagement.

Design and build secure data pipelines, lead data architecture, collaborate across teams, ensure data quality, and mentor other engineers.

Lead and manage a data engineering team to design, develop, and implement cloud-based data solutions, ensuring robust performance and innovative problem-solving.

The Senior Core Platform Engineer will manage and improve CI/CD pipelines, optimizing build processes, and collaborating with teams to enhance developer experience and software delivery.

Lead data engineering efforts by gathering requirements, building scalable data platforms, integrating systems, and delivering high-quality code to enhance decision-making through data.

The GCP Data Analyst will validate data accuracy, analyze large datasets, optimize SQL queries, and collaborate with engineering teams to ensure data integrity within GCP environments.

Lead the architectural design and implementation of data solutions on the Databricks Platform, providing guidance and mentoring to engineering teams. Develop reference architectures and optimize data pipelines while ensuring best practices in data governance and performance.

Lead technical expert for the Databricks platform, developing architectures, mentoring engineers, and providing hands-on guidance for data solutions.

Provide technical support for SMB customers, solve complex problems, manage projects, and coordinate with cross-functional teams to ensure customer satisfaction with Plume's services.

The Senior Backend Engineer will develop and maintain scalable backend services for identity verification, collaborating with cross-functional teams to enhance code quality and optimize performance, including ML integration.

Lead the development of the Entity Resolution API, design data pipelines, and build low-latency search systems while collaborating with cross-functional teams.

Responsible for big data software and platform architecture and development involving innovative projects and cutting-edge technologies.

The Lead AI Strategist will drive AI strategy engagement, support execution, and build intellectual property while managing relationships with clients and stakeholders.

Design and maintain scalable data pipelines and infrastructure for AI and ML initiatives, ensuring data quality and collaborating with teams to deliver insights.