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.

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.

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

Lead and grow the Data Platform engineering teams to deliver a managed Lakehouse and data services (Snowflake, Flink, Iceberg, Airflow). Define roadmap, drive scalable pipeline design, ensure reliability and security, collaborate with cross-functional stakeholders, and represent technical thought leadership externally.

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.

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.

As a Staff Backend Software Engineer, you will architect and develop scalable systems for a multi-tenant travel commerce engine, mentor senior engineers, and lead technical strategy.

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 Data Engineer designs and builds data pipelines for analytics, ensuring data quality, governance, and integration across systems, while collaborating with teams for effective delivery.

The Senior Cloud Systems Engineer administers Databricks, manages platform security, and integrates with cloud infrastructure. Responsibilities include governance, automation, and cost optimization of data workloads.

As a Data Engineer, you'll develop and deploy data pipelines and platforms, support scalable data applications, and collaborate with a multi-disciplinary team to provide insights from disparate data sources.

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 Sr. Specialist Solutions Architect will guide customers in transforming their cloud data warehousing, provide technical leadership, architect production workloads, and enhance community adoption through training and tutorials.

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.

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.

Develop and maintain core backend systems and data infrastructure; collaborate with teams on scalable solutions and ensure data quality and reliability.

As a Software Engineering Intern at Acorns, you'll collaborate with teams to develop solutions, write maintainable code, and participate in a project from concept to delivery, culminating in a presentation.

The Senior Software Engineer - Data will build scalable software products leveraging data, mentor team members, and define data strategies, while focusing on customer-oriented solutions and architecture.

You will design, build, and maintain scalable applications using Java and JavaScript, collaborating across teams and managing databases.

The Sr. Staff Data Platform Engineer will architect data infrastructure, manage data governance, lead engineering excellence, and mentor engineering teams. You will focus on building scalable data solutions and optimizing cloud workloads.

The Senior Software Engineer will design and develop high-volume distributed data processing systems, improving algorithms, managing large datasets, and collaborating with multiple teams to meet data ingestion needs.

Lead the design and optimization of programmatic bidding systems, collaborating with engineers and applying analytical methodologies to enhance performance.