Top Remote Scala Jobs in Washington, DC

Lead a hands-on software engineering effort for Zeta’s real-time events pipeline. Design, build, deploy, and operate high-volume event ingestion, processing, and delivery systems. Own architecture, reliability, observability, performance, cost, data quality, and on-call improvements. Collaborate with Product, Data, and downstream platform teams, define stable interfaces and SLAs, evaluate technologies, lead production launches, and mentor engineers through design and code reviews.

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, build, and operate scalable, secure data platform infrastructure for ingesting, processing, cataloging, and accessing petabytes of data. Improve Spark/Databricks reliability and developer experience, build ingestion/replication systems, develop internal libraries and tooling (Go/Python), and collaborate with cross-functional teams to support analytics, ML, and customer-facing data products.

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, build, test, and maintain low-latency, high-throughput trading services on an Aeron-based platform. Expand trading protocol features, migrate workflows to the new stack, optimize performance and scalability, support production reliability, and collaborate with cross-functional teams while using AI-assisted development tools.

Build and improve scalable, secure, performant web applications and data pipelines for healthcare challenges. Develop technical roadmaps with engineering, product, and business stakeholders using Agile processes. Mentor junior engineers, conduct thorough code reviews, and promote observability, testing, alerting, metrics, and frequent incremental releases. Work with large-scale data processing, databases, APIs, cloud technologies, containerization, orchestration, and CI/CD systems.

Volunteer Principal Full Stack Engineer to lead and contribute across frontend and backend (React/React Native, Node.js, MongoDB). Own feature development, mentor engineers, collaborate with product/design, ship scalable code, and support CI processes. Must commit 4+ hours weekly and attend a weekly standup; first task includes launching a fundraising campaign.

Volunteer senior developer to design, build, and maintain a cross-platform medical scheduling app (web, iOS, Android). Participate across the full development lifecycle: design, coding, testing, CI, deployments, code reviews, production support, incident management, and platform architecture. Attend weekly standups and commit at least four hours per week.

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.

As a Software Engineer - Backend, you will develop products and manage engineering infrastructure, focusing on system design, security, and code quality.

As a Senior Software Engineer, you will develop new products and improve engineering infrastructure while taking ownership of product deliverables and enhancing technical architecture.

Leads engineering support and architecture for enterprise-scale healthcare data platforms on Azure. Designs Databricks, Synapse, Data Factory, and Data Lake solutions; builds batch and real-time pipelines, analytical data models, BI solutions, and automated data quality frameworks. Implements machine learning and AI-assisted development, integrates low-code systems, ensures HIPAA compliance, and translates business needs into technical solutions. Mentors engineers, resolves technical issues, supports Agile delivery, and partners with healthcare business leaders on Medicare and Medicaid analytics initiatives.

The Staff Software Engineer will architect and build scalable solutions for Cloudera's Data Platform, contribute to Apache Spark, enhance engineering processes, and work with large-scale distributed systems.

As a Staff Software Engineer, you will lead the development of Apache Iceberg, enhancing data handling capabilities for large-scale systems, collaborating with teams, and architecting solutions for modern data lakes.

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.

Build and productionize data and AI solutions for federal government customers using Databricks. Lead architecture, design, and implementation of end-to-end data engineering, machine learning, and application systems. Deliver secure, scalable production architectures, integrate customer systems, guide technical projects, train customers, and collaborate with engineering, product, support, and customer stakeholders. Contribute reusable frameworks and accelerators while managing technical delivery and customer relationships.

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, 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.

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.