Top Scala Jobs in Washington, DC

The Engineer III will develop and maintain cloud services, integrate capabilities into the Falcon platform, and collaborate with various engineering teams.

As a Fullstack Engineer, you'll design, build, and operate web applications, collaborating with product teams and mentoring peers while ensuring best practices in coding and system architecture.

Design and build scalable data platform infrastructure, ensuring data accessibility and reliability. Support teams in data transformations and foster collaborations for better decision-making.

Design and develop backend services and APIs for identity resolution, optimize event-driven systems, and enhance system reliability. Mentor engineers and influence architectural decisions.

Design and develop software solutions enhancing user experience for Governance features, contribute to open-source software, communicate technical designs, and support team quality through reviews.

The Senior Data Engineer will design, build, and operate data pipelines for Zeta's AdTech platform, focusing on high-scale data processing and analytics-ready datasets.

Develop and manage high-performance back-end systems, design secure APIs, optimize performance in cloud environments, conduct testing, and manage ML model lifecycles.

The Senior Backend Engineer will develop the Payroll product, overseeing the entire development cycle from design to deployment, in a microservices architecture.

Lead and manage the data engineering team, architect resilient data infrastructure, ensure data quality, and enable accessible data for business stakeholders.

Design and implement microservices and data pipelines, develop backend services using Spring Boot, and maintain frontend features and legacy systems.

Lead client engagements and design cloud-native enterprise architectures. Define data schemas, produce technical proposals, mentor teams, participate in development, support pre-sales, and ensure solutions are delivered to production using best practices.

Lead a team of engineers to build distributed systems for B2B partners, manage technical integrations, and drive architectural excellence.

As a Senior Agentic AI Software Engineer, you'll focus on optimizing AI-assisted coding practices, improving code base efficiency, and collaborating on scalable solutions within a dynamic, fast-paced team.

Design and build scalable web applications, collaborate on product direction, and implement complex systems using ML techniques, ensuring software quality.

The Data Engineer designs and builds data pipelines for analytics, ensuring data quality, governance, and integration across systems, while collaborating with teams for effective delivery.

As a Software Engineer I, the role involves developing high-quality software, participating in code reviews, owning features, and leveraging AI-assisted tools in a collaborative environment.

The Databricks Data Engineer role involves building ETL/ELT pipelines, working with data transformations, and ensuring efficient data handling across cloud services, primarily using Databricks and AWS.

As a Senior Backend Engineer at Socure, you'll develop scalable backend services for identity verification, optimize system performance, and collaborate with cross-functional teams on document processing integrations.

As a Senior Software Engineer, you'll design architecture, mentor engineers, and drive the adoption of AI practices to enhance development workflows and system reliability.

The Principal Software Engineer will lead development for Dataminr's Knowledge Platform, focusing on AI and data engineering to enhance knowledge graphs and alerting capabilities.

As a Staff Software Engineer, you will design and implement backend services, write primarily in Scala, and improve product architecture in collaboration with 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.

Develop software for cancer detection by building reliable, scalable backend services. Collaborate with teams and lead projects in a dynamic environment.

The Senior DataOps Engineer will manage data analytics infrastructure, build CI/CD pipelines, provision cloud resources, and maintain data processing environments, ensuring data delivery and operational excellence.