Top Scala Jobs in Washington, DC

The Sr. Rapid Innovation Architect will design and implement big data solutions on the Databricks platform, guiding public sector clients through deployments and optimizations while providing technical leadership.

The Machine Learning Engineer will optimize and deploy ML systems, collaborate with stakeholders, and maintain cloud infrastructure to enhance data analytics capabilities.

The Senior Machine Learning Engineer designs and implements machine learning solutions on AWS, working in a team to meet customer goals and developing models and data processing pipelines.

The role involves writing documentation for the Mojo programming language, including code examples and tutorials, collaborating with engineers, and updating existing materials.

Manage the Ads API team, set technical vision, drive architectural decisions, ensure best practices, and collaborate with stakeholders to empower advertisers and partners.

The Senior Data Engineer will design and maintain scalable data pipelines, influence business strategy with data-driven decisions, and enhance user experiences across Zillow's products.

As a Senior Cloud Engineer, you will design, implement, and troubleshoot scalable applications in a Kubernetes ecosystem while collaborating across teams and writing maintainable code.

As a Data Platform Engineer, you will enhance Stitch Fix's data stack to support AI products and analytics, ensuring scalability and reliability.

As a Lead Software Engineer on the Data Platform team, you will enhance the data infrastructure for AI/ML products, ensuring reliability and scalability while defining data governance and automation workflows.

The Senior Data & Analytics Engineer will design and maintain data pipelines, develop analytics schemas, build visualizations, and perform deep-dive analyses to drive business decisions.

As a Software Engineer, you will enhance Machinify's AI/ML systems for healthcare claims processing by building robust data science solutions and collaborating closely with data scientists.

Design and build scalable backend systems, contribute to backend development, prioritize deliverables, and design frameworks for ML applications.

Lead the Data Engineering practice, modernizing the data stack, building a data lakehouse, and supporting analytics and product needs.

Provide high-impact technical support, resolve complex customer issues, manage escalations, and collaborate with internal teams in mission critical environments.

The Principal Backend Engineer will lead the API architecture for Yahoo's data ecosystem, designing scalable APIs and integrating systems while collaborating across teams to optimize user experiences.

Entefy seeks a Senior Data Scientist with a Master's or PhD in a relevant field, and 3+ years of experience. Responsibilities include delivering advanced analytics, leading teams, and extracting insights from datasets.

The Senior Data Scientist will lead innovative data science efforts, leveraging advanced analytics, visualization, and insights from complex datasets to boost productivity.

The Principal Software Engineer will lead initiatives for Dataminr's Knowledge Platform, developing scalable solutions and applying AI to enhance data management and alerting capabilities.

The Senior Data Engineer will design, implement, and optimize data pipelines in Databricks, ensuring scalability and collaboration on advanced analytics with data scientists and analysts.

The Solutions Architect leads the design and implementation of data solutions, mentors engineers, develops technical production solutions, and communicates with clients.

The Sr Software Engineer in Test develops and maintains software automation frameworks while ensuring quality through effective testing methodologies and collaborating with teams throughout the software development life cycle.

The Staff Data Scientist will develop predictive models, optimize supply and demand, perform testing, and mentor junior data scientists using advanced data science techniques.

The Senior ML Engineer designs and develops advanced machine learning models, collaborates with teams, monitors model performance, and implements MLOps practices for scalability.

The Senior Data Engineer will build scalable data pipelines to process data, support platform efficiency, and enable smart analytics at Netflix.

Lead a data engineering team to build scalable, cloud-native data pipelines, ensuring quality and security in collaboration with various teams.