Top Remote Scala Jobs

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.

The Machine Learning Engineer will develop and enhance ML-powered products focusing on models, metrics, pipelines, and collaboration with product teams.

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

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

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.

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.

Lead the design and development of a data platform, integrating data sources, driving architecture migration, and ensuring robust data governance and API development.

As a Sr Specialist Solutions Architect, you will guide customers to build big data solutions, manage implementations, and mentor others in the field.

The Director of Data Engineering will lead Revinate's Data Platform initiatives, overseeing the strategy, architecture, and execution of data ecosystems while managing a team of engineers to optimize data operations.

The role involves architecting and maintaining scalable data pipelines, ensuring data quality, and collaborating on data strategy. Ideal candidates have experience with AWS services and data governance in healthcare.

Lead and manage a team of software engineers, overseeing feature development, delivering high-quality code, and enhancing team processes in a cloud environment.

Lead the Data Integrations Engineering team, manage data integration solutions, ensure data quality, and collaborate with stakeholders to improve processes and architecture.

Lead the design and implementation of systems for a real-time ML-based advertising stack, mentor engineers, and drive architectural direction.

Seeking a Data Integration Manager to lead the Data Integrations Engineering team. Responsibilities include managing data integration strategies, overseeing design and implementation, ensuring data quality, and mentoring the team while collaborating with stakeholders.

As a Software Engineer, you'll design and build scalable data solutions, collaborate with teams for business requirements, ensure data quality, and mentor early career engineers.

Seeking a Senior Java Software Engineer for developing the Security Data Lake platform, focusing on data ingestion and processing while leading team features and ensuring code quality.

Lead product teams to deliver the Thrive experience, mentor engineers, manage complex projects, and collaborate with stakeholders to enhance user experience.

As a Senior Software Engineer, you'll build and improve Thrive's microservices and applications, collaborating with cross-functional teams to enhance health and productivity.

As a Senior Principal Architect, you'll guide industry-specific AI transformations for public sector clients, design solutions, and drive strategic initiatives while fostering customer relationships and influencing product roadmaps.

Develop and maintain scalable distributed systems for Machinify's AI platform, utilizing Java and Scala, with emphasis on database management and cross-functional collaboration.

As a Principal Data Engineer, you will build and optimize data pipelines, manage data storage systems, and ensure platform scalability and reliability, collaborating with teams to deliver data solutions.

Design and develop reliable distributed data systems to deliver high-quality data for Netflix's product, collaborating with data scientists and engineers.

Build a next-generation ML data and feature infrastructure platform to enhance the productivity of ML practitioners and improve feature accessibility.

The Software Engineer L5 will design, build, and maintain developer productivity tools for machine learning teams, requiring strong software engineering and design skills with a focus on large CI/CD systems.