Top Scala Jobs in Tampa Bay, FL

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 create scalable data pipelines and manage unstructured data for AI/ML workflows, ensuring data quality and supporting data solutions. Collaboration with cross-functional teams to meet business and security objectives is key.

As a Staff Machine Learning Engineer at Zocdoc, you will develop and mentor while working on scalable ML models to enhance healthcare search experiences.

As a Software Engineer II, you'll work on data ingestion at petabyte-scale, collaborating with teams to develop distributed systems, optimize performance, and ensure high quality through testing and improvement practices.

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.

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

The role involves developing data and analytics strategies for clients, migrating data to cloud environments, and aligning data strategies with business goals.

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.

Design and implement scalable data architectures, manage data quality, ensure compliance, and lead data teams to drive business intelligence and operational efficiency.

Lead the QA team at NinjaTrader, integrating quality into the SDLC and using automation tools. Drive a comprehensive QA strategy focused on user experience and continuous improvement metrics.

Design and develop web applications, work with product teams to refine requirements, collaborate on code, and ensure performance and scalability.

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 Principal Data Engineer will oversee data architecture, design scalable data pipelines, ensure data quality and governance, and enable analytics and machine learning across the organization.

The role involves developing and maintaining enterprise data pipelines, collaborating with various business units, and ensuring data quality and security standards.

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

The role involves developing and managing scalable cloud infrastructure, automating tasks, and leading technical projects in a 24/7 on-call environment.

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.

Develop and maintain software applications for data processing, collaborate with teams to meet data requirements, and implement data quality checks.