Top Scala Jobs in Washington, DC

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.

Seeking a Senior Data Engineer to design and optimize data architecture and pipelines, ensuring data quality and enabling advanced analytics through AI and machine learning techniques.

The Senior Core Platform Engineer will manage and improve CI/CD pipelines, optimizing build processes, and collaborating with teams to enhance developer experience and software delivery.

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.

Lead the design and implementation of scalable streaming data pipelines, collaborate with teams, ensure data quality and performance, and mentor engineers.

The role involves building testing frameworks and tooling for distributed services and APIs, verifying features, increasing automated test coverage, and improving product quality through collaboration and innovative testing solutions.

As a Senior Software Engineer, you will develop and maintain high-scale data platforms, write Java code for event pipelines using Spark, and manage a new graph database to enhance data access for analytics and threat hunting.

Lead and develop Agentic AI solutions, mentor team members, collaborate on AI applications, and tackle complex challenges in cybersecurity.

As a Principal Engineer at CrowdStrike, you'll evolve the technical vision for NG-SIEM, deliver high-scale ingestion systems, lead project teams, and collaborate cross-functionally to enhance the product's performance and customer experience.

The Staff Software Engineer will enhance Zocdoc's scheduling systems, focusing on full-stack development using C#, React, and AWS, while mentoring peers.

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

The Senior Backend Engineer will develop core mechanisms for financial planning, lead backend development, mentor peers, and manage the full development cycle.

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

As a Data Engineer, you will develop data models and optimize data flow for business intelligence and analytics, applying Kimball modeling principles and utilizing various data formats and databases to empower decision-making processes.

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

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 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 Data Engineer designs and maintains data platforms and ETL pipelines, mentors peers, and leads complex projects to enhance community civic engagement.

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.

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.

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

As a Staff Data Engineer, you'll design data models and pipelines, mentor engineers, and lead initiatives to enhance Scribd's data platform, ensuring quality and scalability.

As a Senior Data Engineer, you will design and maintain scalable data pipelines, optimize performance, collaborate with cross-functional teams, and mentor team members in a remote setup.