Top Scala Jobs in Washington, DC

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.

The Data Engineer will design, build, and maintain scalable data processing pipelines, collaborate with teams, and ensure data reliability and quality.

Develop and maintain web-based tools for AI/ML practitioners, improve model observability, enhance user experience, and collaborate cross-functionally. Drive product excellence and improve systems and codebase.

The Senior Data Engineer will design and optimize data ingestion and processing systems, implement real-time analytics, and collaborate with engineering teams for high-performance data solutions.

This role involves developing low-latency data products and building reliable distributed data systems to support algorithms and machine learning at Netflix.

Develop and maintain data processing systems, enhance data pipeline efficiency, collaborate with cross-functional teams, and support high-scale systems. Lead innovations in data engineering practices.

Lead technical vision for ML-oriented data products, architect and build distributed data systems, ensuring reliability and observability. Provide mentorship and shape data architecture decisions to support ML needs.

The Databricks Solutions Architect will lead the design and implementation of scalable solutions on Databricks, engage with customers, provide technical leadership, and optimize performance for data processing and AI workloads.