Top Remote Scala Jobs in Washington, DC

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

As a Staff Software Engineer, you'll design and operate traffic infrastructure, lead multi-team projects, ensure service reliability, and mentor engineers while utilizing AI tools for development efficiency.

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

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

Lead design and implementation of Affirm's Lakehouse Platform using Iceberg, Spark, Snowflake, and cloud storage. Drive platform roadmap, governance, access controls, performance and cost optimization, analytics engineering best practices, observability, and on-call readiness. Partner cross-functionally, mentor engineers, and build scalable, secure, self-service data infrastructure and semantic/agentic data tools.

The Senior Quality Engineer will enhance the automation framework, improve automated coverage, drive quality in compliance-critical software, and establish testing pipelines while collaborating with multiple 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.

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.

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

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.

Build and maintain production-scale data systems and web-scale datasets (Spark/Flink). Design schemas and data models, write software (Java/Scala), partner with algorithm teams to enable personalization, and drive continuous improvement of data products and frameworks.

Build and operate low-latency, highly available distributed data systems and services to deliver high-quality data products that power ML models and product experiences. Partner with data scientists and product teams, design scalable multi-tenant systems, ensure observability and operational reliability, and enable self-service data access.

Build and operate Tier-0 Pricing, Catalog, and Offers services powering Netflix commerce for 330M members. Design and implement product-facing features and platform infrastructure, solve distributed systems problems (consistency, race conditions, throughput), partner cross-functionally, and own production reliability including on-call incident response.

Design and implement Alpaca's low-latency, high-throughput algo trading platform. Work across frontend and backend, databases, and distributed systems; optimize performance and concurrency; architect scalable, highly available services; and develop/extend OMS and RMS functionality for trading/exchange systems.

Staff-level platform engineer to improve and scale inherited Scala systems, redesign data layers for ML/AI, build a Rust service framework, enhance observability and resilience, shape developer tooling and standards, and work across JVM, Rust, Python, SQL, and Spark.

Build and maintain NMI's bank-to-bank payment systems: public APIs, internal tools, and third-party integrations. Design and develop services in Scala, TypeScript, and C#, apply TDD, own production quality and incidents, work with AWS containerized microservices, messaging, data stores, and CI/CD. Use AI-first tools to accelerate development, participate in agile processes, refactor large codebases, and collaborate with product and SRE to deliver resilient payment features.

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.

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

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

The role involves designing, building, and optimizing a data platform, collaborating with cross-functional teams, and ensuring data quality and security.

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 architecture and delivery of scalable, resilient distributed web applications and AI/LLM-powered features. Drive technical vision, enforce engineering best practices, mentor engineers, collaborate with product and platform teams, and productionize generative AI capabilities with attention to testing, observability, security, and performance.

Design, build, and operate highly scalable cloud-native microservices and web applications. Own features from design through production, improve observability, CI/CD, and cloud infrastructure, mentor teammates, collaborate across teams, and leverage AI developer tools to automate and accelerate engineering workflows.