Top Scala Jobs in Washington, DC

Develop and design a highly available storage engine, lead technical solutions, collaborate across teams, and mentor junior engineers.

The role involves designing CLI and backend services, maintaining code quality, collaborating on technical issues, and writing documentation.

As a Senior Data Engineer, you will architect core metrics for games, develop data models, implement pipelines, enforce data governance, and collaborate with stakeholders.

The Data Engineer will build low-latency data products, manage distributed systems and ensure high-quality data for Netflix's product features, collaborating with data scientists and engineers.

The Senior Database Engineer will lead the development and management of HBase databases, ensuring reliability and performance while mentoring junior engineers and optimizing systems.

As a Solution Architect, you will design and implement data analytics solutions on Azure, integrating data sources and operationalizing cloud infrastructure.

As a Data Architect, you'll design, engineer and optimize data solutions and infrastructures for analytics, ensuring compliance and governance.

Join the Human AI Innovation Team to build AI-enabled applications, combining human and AI tasks. Develop high-quality features using various programming languages and collaborate with researchers and engineers.

Design and maintain scalable backend systems, collaborate with frontend teams, and improve real-time monitoring or web scraping at Pear Commerce.

The Principal Software Engineer will lead architecture and technical initiatives, mentor engineers, deliver scalable systems, and integrate AI into platform solutions.

Lead the development of an AI-driven growth platform for Airbnb, collaborating with cross-functional teams to design and optimize systems, and mentor engineers.

Build and maintain scalable data pipelines for security data, enabling teams to detect and mitigate risks effectively. Collaborate cross-functionally to strengthen Netflix's security stance using big data technologies.

Build reliable data pipelines and intuitive data products to mitigate security and fraud risks, leveraging big data technologies.

The Data Engineer will build scalable data pipelines and frameworks that enhance Netflix's security by mitigating risks through data insights and collaboration with security teams.

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.

As a Senior Data Engineer, you will architect data platforms, collaborate across teams, and implement scalable data infrastructures for healthcare data integration.

As a Software Engineer in Revenue Finance Infrastructure, you will design and evolve architectures for scalable revenue financial workflows, handle massive data processing, and collaborate with cross-functional teams.

As a Senior Backend Engineer at Eight Sleep, you will develop and maintain back-end services and improve data processing, supporting critical business logic in distributed systems.

As a Forward Deployed Engineer, you will design and deliver custom fullstack applications on the Databricks platform, focusing on customer impact through technical solutions and collaboration.

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 Staff DevOps Engineer leads DevSecOps practices, architecting systems for scalability and security, mentoring teams, and optimizing CI/CD pipelines.

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