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 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.

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.

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.

Lead the growth of Databricks Unified Analytics Platform by developing architectures and solutions, partnering with sales, and providing technical leadership in customer projects.

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

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.

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.

Design and develop reliable distributed data systems to deliver high-quality data for Netflix's product, collaborating with data scientists and engineers.

Build a next-generation ML data and feature infrastructure platform to enhance the productivity of ML practitioners and improve feature accessibility.

Join Netflix's Algorithms team as a Machine Learning Software Engineer to design and develop solutions for personalization systems. Collaborate on scalable machine learning algorithms and enhance software engineering practices.

The Solutions Architect will design and implement data solutions while mentoring engineers, ensuring performance and security, and communicating effectively with clients.

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

As a Founding Engineer, you'll develop disruptive observability products, optimize software stacks, engage with customers, and contribute to company culture.

The role involves leading technical initiatives in automating network engineering for Elastic's infrastructure, developing cloud network solutions, and collaborating in a team-focused environment to enhance platform reliability.

As a Staff Software Engineer in Data Systems, you'll build and optimize data pipelines, drive architecture decisions, and collaborate for scalable solutions in a fast-paced e-commerce environment.

The Staff Software Engineer will architect and implement scalable data systems, collaborate with teams, mentor engineers, and ensure data integrity.

Lead the design and development of Kafka-based data pipelines, engage with Army stakeholders, and mentor junior developers in optimized data solutions.

As a Senior Software Engineer, you will design and enhance Zillow's real-time streaming infrastructure using Kafka and Flink while driving complex initiatives within the Data Platform organization.

As a Data Engineer, you will build advanced technology solutions, organize data for insights, and develop scalable ETL workflows while collaborating with multi-disciplinary teams.