Top Scala Jobs in San Antonio, TX

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.

The Senior Machine Learning Engineer will develop ML APIs, build data pipelines, and collaborate across teams to enhance ML models and applications.

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 Senior Data Engineer will develop and maintain data pipelines, collaborate with Analysts, and ensure high code and data quality on the Hungryroot Analytics model.

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.

As a Senior Software Engineer, you will develop backend services in Java for search functionalities, integrate AI technologies, and mentor team members.

The Senior Infrastructure Engineer will design and maintain complex infrastructures while applying software engineering and SRE principles, leveraging automation tools, and collaborating with distributed teams.

The Data Engineer at Ensono will design and maintain data pipelines for various platforms, ensuring data quality and integration for AI/ML readiness, while collaborating across teams.

The Senior BI Developer analyzes ad delivery datasets, develops BI solutions, and collaborates with cross-functional teams to enhance data reporting and operational processes.

The Director of Data Engineering leads teams in developing data pipelines, architecture, and infrastructure improvements, and collaborates with cross-functional areas within Voya Financial.

Lead architecture and development of large-scale backend systems for video visits, mentoring engineers and collaborating across teams to enhance digital care technology.

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 Data Scientist will analyze raw data, build models, visualize information, and provide solutions to enhance business performance.

The Senior Data Scientist leads projects by implementing data science techniques, mentoring junior team members, and improving client relationships while driving innovation in manufacturing intelligence using Microsoft technologies.

Oversee model development and management focusing on fraud and risk. Collaborate cross-functionally to enhance client product performance through data analysis and model governance.

Join Iterable's engineering team to lead backend projects, collaborate with PMs and designers, and contribute to innovative AI features.