Top Scala Jobs in Washington, DC

Designs, develops, and supports enterprise HPC and cloud infrastructure solutions. Responsibilities include architecture, software platform development, proof-of-concept delivery, capacity planning, system design, launch reviews, troubleshooting, documentation, and collaboration with engineering, product, sales, and open-source communities. The role requires maintaining system performance, solving ambiguous technical problems, and participating in an on-call rotation.

Senior backend engineer responsible for setting technical direction, designing scalable distributed systems, building customer-facing web applications, mentoring engineers, and applying machine learning to large-scale healthcare data. The role requires Java, Scala, or Rust expertise, cloud systems experience, technical design leadership, cross-functional collaboration, and adoption of agentic engineering practices.

Develop and maintain back-end enterprise applications, APIs, databases, and data-storage solutions. Build scalable systems using modern architectures and open-source frameworks, optimize performance, conduct testing, support system modernization, and solve complex workflow and automation problems in collaborative Agile teams. Candidates need at least two years of software development experience, a bachelor's degree or equivalent experience, and the ability to obtain a Secret clearance.

Build scalable full-stack applications integrating healthcare insights with browser-based and Windows EHR systems. Develop products using FHIR and HL7 interoperability standards, collaborate on technical roadmaps, and implement performant solutions. Mentor junior engineers, conduct code reviews, make technical decisions, and partner with engineering, product, and business stakeholders using Agile processes.

The Open Source Engineer will expand LanceDB's integration with big data systems, manage dataset operations, and enhance open-source community efforts.

Leads software architecture, full-stack delivery, cross-product integration, and technical quality for ARAT mission systems. Owns classified-enclave deployment, secure GitLab CI/CD pipelines, STIG compliance, RMF and information-assurance coordination, and Windows Army Gold Master compatibility. Establishes shared UI architecture and accessibility standards, designs enterprise test-data platforms and analytics strategies, and governs hybrid cloud, network security, identity, and cross-domain distribution across NIPR, SIPR, and JWICS. Mentors engineers and advises the Government on technical, security, data, and cloud investments.

Build and productionize customer-facing data and AI solutions on Databricks. Own architecture and design decisions while delivering scalable data pipelines, applications, ML/AI integrations, and user interfaces. Lead technical project delivery, advise enterprise stakeholders, train customers, resolve implementation issues, and contribute reusable engineering assets and product feedback. The role requires strong cloud, distributed computing, software engineering, MLOps, documentation, and customer engagement skills, with travel to customers approximately 20% of the time.

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.

Build and productionize data and AI solutions for federal customers using Databricks. Own architecture, design decisions, data pipelines, ML/AI integrations, and user-facing applications. Lead technical delivery, advise customers, integrate client systems, provide training, and collaborate with engineering, product, support, and project teams. Contribute reusable frameworks and best practices while managing complex stakeholder relationships and delivering secure, scalable production systems.

Design, build, and operate low-latency, highly available distributed data systems and services to deliver high-quality data for algorithms and ML. Partner with data scientists and product teams to enable self-service data, real-time and batch processing, observability, and scalable multi-tenant solutions that run 24x7.

Lead design and delivery of large-scale, cloud-native services powering millions of devices. Architect solutions for scalability and integration, own full service lifecycle in Kubernetes, mentor engineers, participate in on-call support, and drive engineering best practices across cross-functional teams.

Design, develop, and maintain high-performance Scala/Java server-side applications and RESTful APIs. Work on distributed systems, ensure data integrity and security, write unit tests, optimize performance, participate in design reviews, and mentor junior engineers while supporting CMS mission requirements.

The Senior Backend Engineer develops core product features in ETL and GraphQL, designs APIs, builds ETL pipelines, and collaborates with frontend teams.

The Software Architect will design and implement intelligent document processing and agentic evaluation frameworks, leading architectural direction and coding in Python and Scala/Java.

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

Solutions Architects lead the adoption of Databricks' platform, consult on big data architecture, and develop solutions for customers. This role involves technical leadership, prototyping, and building reference architectures while collaborating with sales and technical teams.

Build and productionize customer-facing data and AI solutions on the Databricks platform. Own architecture and design decisions, develop end-to-end data pipelines and applications, integrate machine learning models, and guide enterprise customers through implementation and adoption. Collaborate with engineering, product, support, project managers, and customer stakeholders while delivering projects, documenting solutions, resolving issues, and creating reusable frameworks. Travel to customers approximately 20% of the time.

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

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.

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

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

The Chief Architect will lead the technical direction for Legion's Workforce Management platform, focusing on architecture decisions, AI systems, and scalable software solutions. Responsibilities include hands-on coding, technical leadership, and ensuring systems meet enterprise standards for performance and security.

Senior engineer responsible for designing, building, and operating scalable data ingestion, processing, storage, and member-facing membership application. Drive architecture decisions, mentor engineers, build data pipelines, APIs, and ensure reliability, observability, CI/CD, and documentation while partnering with product and analytics stakeholders.

Customer-facing senior engineer who designs, builds, and productionizes end-to-end data and AI solutions on Databricks. Leads architecture, implements data pipelines, integrates ML/AI models, delivers production deployments, and produces reusable assets while collaborating with customers and cross-functional teams.

The Staff Software Engineer will architect and implement scalable data systems, collaborate with teams, mentor engineers, and ensure data integrity.