Top Data Engineer Jobs in Washington, DC

Design and maintain scalable data pipelines and infrastructure for AI and ML initiatives, ensuring data quality and collaborating with teams to deliver insights.

The Senior Software Engineer will enhance Doximity's data platforms, collaborating with data teams to resolve challenges, and implement solutions to improve the data stack.

Lead fullstack applications and data systems for Yahoo Search, overseeing technical direction, coach engineers, ensure code quality, and collaborate on scalable solutions.

The role involves designing and developing scalable data pipelines, migrating to a cloud-first architecture, and collaborating on data solutions using modern cloud data technologies.

Design, develop, and manage data infrastructure for internal and client projects, focusing on large-scale data pipelines, APIs, and cloud deployments.

The Data Engineer I will build robust data models, maintain data infrastructure, ensure data quality, and collaborate with analysts and scientists for business insights.

As a Data Engineer, you'll build data pipelines, transform telemetry into performance metrics, and derive QoE insights, collaborating with a small team.

The Data Engineer I supports data conversions, hygiene, and custom services by manipulating, editing, and transforming datasets. Responsibilities include monitoring data jobs, validating data, and documenting workflows.

The Senior Data Engineer will design, build, and optimize data platforms, ensuring best practices in governance, leading project execution, and mentoring junior engineers.

The Senior Data Engineer will build and maintain analytics infrastructure, develop ETL processes, integrate data sources, mentor team members, and optimize data architecture.

Starburst seeks a Senior Software Engineer to improve its data ingestion and transformation platform, focusing on building scalable systems using Java, and distributed technologies like Trino and Apache Iceberg. You'll collaborate with teams to design features and maintain high standards for software development.

The role involves developing and maintaining SnapLogic pipelines, performing ETL tasks, conducting data validation, and collaborating on decommissioning projects.

The SRE Engineer will enhance data platform reliability, manage CI/CD pipelines, automate infrastructure, oversee incident management, and ensure security compliance.

The Data Engineer will support US National Defense by developing ETL workflows, creating reports, and collaborating with stakeholders to provide data insights.

The Big Data Systems Engineer will deploy and integrate the CHEETAS system in DoD environments, collaborate with technical teams, and resolve deployment issues.

The Data Engineer will design and automate data pipelines, ensure data reliability, maintain reference datasets, and implement ML workflows within healthcare operations.

Design and optimize data pipelines, work with structured/unstructured data, ensure data quality for analytics, and collaborate with data scientists.

As a Data Engineer, you'll design, build, and optimize data models and pipelines, ensuring data quality and creating dashboards.

As a Data Engineer, you will build data pipelines and maintain datasets for analytics, data science, and marketing. Collaborate on scalable solutions and ensure data quality.

The Data Engineer will design and maintain ETL pipelines and data storage solutions, collaborating with cross-functional teams to ensure efficient data processing and delivery.

Lead the development of a data platform, enhancing data processing and query engines while mentoring team members and managing production issues.

Transform the Document Data Model to improve scalability and performance, build APIs and backend services, enhance observability, mentor team members, and participate in code reviews and on-call support.

The Data Engineer will design and maintain data pipelines, develop data models, ensure data quality, and collaborate with various stakeholders for data solutions.

As a Data Engineer, you'll manage data access, support development and analytics teams, implement automated processes, engineer data pipelines, and ensure data accuracy.

Develop and optimize data-driven solutions for personalization and insights, focusing on data pipelines and integrations across CR's digital ecosystem.