Top Scala Jobs in Atlanta, GA

The role involves developing data-driven strategies, aligning client goals with analytics, and implementing cloud data solutions using various platforms.

Manage data and analytics projects, align client data strategies, facilitate cloud data migration, and coach team members while ensuring business objectives are met.

The role involves designing data architecture strategies, mentoring team members, maintaining data integrity, and translating data requirements into technical solutions.

The Data Engineer will design, build and maintain data systems, develop data products, manage pipelines and support efficient data processes.

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.

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.

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.

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

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

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.

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.

Lead a team to develop cloud-based data solutions, collaborate in Agile environments, and implement full-stack technologies for Capital One Software.

The role involves building testing frameworks and tooling for distributed services and APIs, verifying features, increasing automated test coverage, and improving product quality through collaboration and innovative testing solutions.

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

Develop and manage high-performance back-end systems, design secure APIs, optimize performance in cloud environments, conduct testing, and manage ML model lifecycles.

The role involves leading data science initiatives to drive business outcomes, mentoring junior scientists, performing analyses for decision-making, and using advanced technologies for optimization and causal analyses.

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

As a Senior Machine Learning Engineer, you will develop scalable ML solutions, collaborate with teams, optimize models, and implement best practices for deployments and infrastructures.

Design and develop backend services and APIs for identity resolution, optimize event-driven systems, and enhance system reliability. Mentor engineers and influence architectural decisions.

As a Data Engineer, you will develop and maintain data pipelines and a data warehouse for blockchain analytics, ensuring data quality and collaboration with data scientists and analysts.

As a Data Engineer, you will manage data pipelines and warehouses, ensuring data quality for blockchain analytics and improving operations for business insights.

The Data Engineer manages data pipelines and warehouses for blockchain analytics, ensuring data accuracy and driving insights for business growth.

As a Data Engineer, you will build and maintain data pipelines and models for blockchain analytics, ensuring data quality and supporting product development.

As a Data Engineer II/Senior, you'll develop and maintain blockchain data pipelines, enhance data warehouse operations, and support analytics for product insights.

As a Data Engineer at Circle, you'll manage data pipelines for blockchain analytics, ensuring data accuracy and quality to support business functions. Responsibilities include building ELT pipelines, designing data models, and improving warehouse operations.