Top Scala Jobs in Washington, DC

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.

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 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.

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

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

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.

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

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.

Design and build scalable backend systems for a multi-tenant travel commerce platform. Orchestrate AI agents, implement guardrails and feedback loops, own end-to-end features, and collaborate with PMs and senior engineers to ship partner-facing products rapidly.

Design, build, and lead development of scalable, secure, high-performance cloud ingestion systems handling large throughput uploads. Provide technical leadership, system design, architecture reviews, mentorship, cross-team collaboration, roadmap management, and process improvements across multi-cloud infrastructure.

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.

Lead technical initiatives to design and build scalable, high-performance batch and real-time data pipelines and microservices. Use Big Data tools (Spark, Kafka, EMR, S3) and AWS services to ingest, store, transform, and query large datasets. Maintain and optimize systems, perform code reviews, mentor engineers, implement security and data governance, and collaborate with product teams in an Agile environment to deliver reliable production software.

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 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.

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.

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

Lead the strategy and execution for Calendly's data platform, overseeing engineering practices, team development, and cross-functional collaboration to leverage trusted data across the organization.

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.

Design, build, and deliver scalable big data ETL solutions across distributed environments using Spark (PySpark/Scala), Hadoop ecosystem, Databricks, and Azure. Develop and automate ETL workflows, tune Spark jobs, integrate multiple data sources, create tests and technical designs, collaborate with Data Science, QA, and Ops, and troubleshoot data delivery issues under agile processes.