Top Data Engineer Jobs in Washington, DC

As a Distinguished Data Engineer at Capital One, you'll drive adoption of technology, collaborate on data challenges, mentor talent, and influence stakeholders.

As a Data Engineer Associate at PNC, you'll assist in developing data solutions, perform data analysis, support data infrastructure, and ensure data security.

As a Data Engineer/Senior Data Engineer, you will build and optimize data solutions and AI initiatives, managing data pipelines and collaborating with teams to enhance data infrastructure.

As a Data Engineer, you will build data pipelines, APIs, and contribute to the core product's analytics while collaborating with cross-functional teams.

The Data Engineer will develop and maintain data pipelines, improve data quality, analyze datasets, and build data models to support business objectives.

The Senior Data Engineer will create scalable data pipelines and manage unstructured data for AI/ML workflows, ensuring data quality and supporting data solutions. Collaboration with cross-functional teams to meet business and security objectives is key.

As a GCP Data Engineer Manager, you'll lead data engineering projects, develop data architectures, mentor teams, and enhance data solutions for clients.

Senior Manager in data engineering at PwC, responsible for designing data architecture, leading projects, and ensuring compliance with data governance while mentoring teams and driving strategic project success.

As a Data Engineer, you'll develop foundational data models, optimize data storage, and maintain workflows for analytics, supporting BI and data science efforts.

As a Cloud Data & Analytics Engineer at PwC, you'll lead technology workstreams, mentor others, build client relationships, and develop scalable data solutions using cloud technologies.

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

The HR Data Engineer role involves designing data pipelines, managing HR data integrations, ensuring data quality, and collaborating with HR to enhance data-driven decision-making.

Design and implement scalable data orchestration and processes, optimize data operations, and support building various platform areas.

Lead design and delivery of data solutions in Adobe Experience Platform, optimize data models, mentor junior engineers, and drive strategy.

The Senior Data Engineer will build and enhance data solutions and AI initiatives, managing data architecture, ensuring data quality, and optimizing BigQuery solutions.

The Data Engineer will maintain data pipelines, manage cloud services, and work with big data infrastructures while ensuring security and compliance.

The Epic Cogito Data Engineer will gather reporting requirements, design and develop reports, and provide post-implementation support in healthcare IT.

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.

Lead a team in developing data security solutions, prototyping features, and collaborating cross-functionally on technology projects.

The Front-End Data Developer will design and develop dynamic data visualization tools and user interfaces, collaborating with clients to deliver actionable insights.

The Data Engineer will process data, convert pipelines, collaborate with teams, and establish CI/CD practices utilizing big data technologies.

The Staff Software Engineer will enhance Liftoff's data infrastructure, building core engines and improving backend systems to support scalable solutions and increased data access.

Lead the evolution of SimplePractice's data stack, building scalable systems for analytics, reporting, and product insights in a fast-paced environment.

The Principal Data Engineer leads a team to deliver end-to-end big data solutions, mentors junior engineers, and collaborates with clients to define technical tasks and requirements.

The Data Engineer will develop and maintain data pipelines, optimize processes for healthcare datasets, and collaborate with technical stakeholders.