Top Scala Jobs in Washington, DC

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 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.

Seeking a Data Engineer to build scalable data management frameworks focused on privacy compliance. Responsibilities include designing data pipelines and partnering with privacy teams.

Develop and maintain language frontends for the Joern platform for automated software vulnerability analysis, collaborating with a global team.

The role involves designing and building data pipelines, improving data infrastructure for machine learning, and enabling analytics insights and product features at scale.

The Staff Software Engineer will design scalable data storage systems, mentor engineers, and ensure high-quality engineering processes while developing architecture and solutions for data processing systems.

Design and build core systems for post-booking customer experiences, focusing on AI integration, scalable APIs, and middleware for travel partners.

The Software Engineer III will develop, test, and implement automated data lake solutions for analytics, collaborating with Agile teams, and working with complex ETL pipelines.

Lead design and implementation of scalable Big Data healthcare solutions, shape technical roadmap, mentor engineers, collaborate with product and stakeholders, and maintain CI/CD, testing, and cloud infrastructure.

Design and evolve data pipelines, ensure accuracy of business datasets, improve data reliability, and partner across teams to provide insights and solutions.

The Analytics Engineer will build analytical frameworks to enhance identity experiences at Netflix, collaborating across teams to ensure data quality and drive insights.

Lead the development of the Entity Resolution API, design data pipelines, and build low-latency search systems while collaborating with cross-functional teams.

The Implementation Data Architect designs and implements complex data architectures for client onboarding, translating business needs into scalable data solutions while ensuring strong client engagement and adherence to best practices in security and governance.

The Senior Software Engineer will enhance AI system reliability, performance, and scalability, focusing on distributed services and collaborating with ML researchers.

The Senior Software Engineer will build and enhance 15Five's Data Intelligence Platform while collaborating with Data Science and Product Engineering teams.

Design, build, and own scalable data pipelines and products for Content Finance, shaping data engineering practices and enhancing financial decision-making at Netflix.

The Senior Data Engineer will design and maintain data pipelines, collaborate with teams to ensure data integrity and quality, and implement best practices for data management and compliance in healthcare.

Build a data-focused product using open source solutions, focusing on both backend and frontend development while ensuring low-latency system performance.

As a Software Engineer IV, you will design and implement full-stack cloud-native solutions, mentor developers, and enhance product stability and scalability for healthcare applications.

You will architect and develop data products for Netflix Ads, build data pipelines, and collaborate with various teams to ensure data quality and governance.

Design, build, and maintain scalable Scala-based Big Data applications and pipelines using Spark and Kafka. Participate in technical design, implement ETL/data modeling and performance tuning, write tests, troubleshoot production issues, and advise stakeholders on best practices to integrate enterprise data into an analytical warehouse.

Design and develop backend services in Scala, build RESTful APIs, optimize performance, collaborate with teams, and troubleshoot issues.