Top Scala Jobs in Washington, DC

The role involves leading software engineering teams, developing large-scale data processing systems, mentoring junior staff, and ensuring project success. You will leverage programming languages and technologies like Java and Python, embracing innovation and technology to enhance delivery.

As a Manager, lead teams to design and develop large-scale distributed systems using programming languages like Java and Python. Mentor junior staff, ensure project success, and maintain high standards while fostering innovation and leveraging technology.

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.

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.

Design and build scalable backend platforms for regulated scientific workflows, ensuring compliance and reproducibility while enhancing performance and usability across cloud environments.

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

In this role, you will lead the evolution of delivery architecture and systems, mentor engineers, and implement technical strategies to enhance user experience and scalability for Toast's delivery services.

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 Senior Software Engineer, you'll develop secure and scalable systems for provider onboarding, collaborating with cross-functional teams to enhance user experiences and mentor other engineers.

Lead and manage the Data Engineering team, setting strategy and vision while ensuring delivery of reliable and scalable data solutions. Serve as a technical leader and mentor, collaborating with cross-functional partners to enable data-driven decision-making and automation using AI.

Solutions Architects at Databricks will lead the growth of the Unified Analytics Platform, consulting and implementing solutions for customers, while providing technical leadership and building relationships as trusted advisors.

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

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 Data Engineer will build low-latency data products, manage distributed systems and ensure high-quality data for Netflix's product features, collaborating with data scientists and engineers.

Contribute to networking systems on the CloudNet team, focusing on real-time solutions, managing system vulnerabilities, and supporting software engineers with networking expertise.

As an Aviation Data Engineer, you'll develop software for data management, create ETL/ELT workflows, and work with diverse datasets to provide insights for critical missions.

Oversee engineering team for DIA program; responsible for cloud deployment, system interoperability, and team leadership. Drive innovation and manage technical execution.

Lead the design and optimization of ML systems at Scribd, managing cross-team projects, mentoring engineers, and shaping technical direction for ML initiatives.

The Software Engineer II will design and optimize distributed systems for processing metadata, collaborating closely with cross-functional teams to integrate machine learning models into production pipelines.

Design and optimize data pipelines using Scala/Spark on AWS. Collaborate with teams, ensuring efficient operation and debugging systems. Maintain performance and cost-efficiency.

The role involves administering the Databricks platform, managing clusters and configurations, implementing security governance, providing operational support, and automating processes using APIs/IaC. It requires collaboration with development and governance teams to optimize platform performance and ensure compliance.

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 role involves designing, building, and scaling data pipelines, collaborating with cross-functional teams, and leading technical direction. It includes mentoring team members and promoting best practices in software development.

The Platform Architect designs, integrates, and evolves the NexusOne data platform, ensuring compliance and fostering collaboration across teams.

As a Data Solutions Architect, you'll engage clients, design data solutions, lead projects, and ensure governance and quality in data architecture.