Top Senior Level Scala Jobs in Washington DC,

The Senior Data Ingestion Engineer leads the Enterprise Data Platform Ingestion team, focusing on managing ingestion processes on the Databricks platform, overseeing ETL/ELT pipelines, and ensuring data security and compliance. Responsibilities include code review, managing Agile sprints, and implementing automated monitoring strategies for ingestion processes.

The Staff Software Engineer will lead the technical direction and delivery of backend solutions for an enterprise platform. Responsibilities include designing high-impact projects, collaborating with teams to enhance products, and mentoring engineers while advocating for best practices.

As a Staff Software Engineer, you will collaborate with product teams to develop scalable data pipelines and ingestion pathways, provide technical leadership, optimize data architecture, and integrate machine learning systems. You'll ensure high performance and maintain documentation for stakeholders in a rapidly growing environment.

As a Senior Software Engineer II for ML Core, you will define architecture and implement changes for backend services. Responsibilities include optimizing search infrastructure, enabling rapid ML model productionalization, mentoring team members, and managing complex projects across teams.

The Senior Software Engineer II will define architecture and implement changes across backend services for scalable solutions. Responsibilities include optimizing search infrastructure, advocating system designs, overseeing complex projects, mentoring team members, and adapting to change while focusing on customer experience and project quality.

As a Full Stack Engineer, you will develop and maintain both backend services and frontend components for a data labeling platform. Your responsibilities include designing APIs, creating responsive user interfaces, collaborating with teams on product goals, and mentoring junior engineers.

Cube Dev is seeking a Principal Software Engineer for its Cube Core team to focus on building and maintaining analytics data access technology. Responsibilities include SQL generation, optimizing data storage and retrieval systems for performance, and developing analytics operations management features, all while supporting an open-source community and collaborative development environment.