Top Data Engineer Jobs in Washington, DC

The Senior Data Engineer will develop solution architecture, automate data pipelines, and support integrations for healthcare clients, ensuring effective data management.

As a Data Engineer Associate, you will develop and implement data solutions, perform data analysis, and ensure scalable, secure data services for business applications.

As a Data Engineer Associate, you will develop and implement data solutions, perform data analysis, and support data service infrastructure for PNC's applications.

Build and refine data assets and products, integrate and model data from multiple sources, and develop data pipelines with automated quality checks.

Design and build a comprehensive data ecosystem, leading vendor selection and hands-on development while collaborating with leadership on data strategy.

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.

The Data Engineer will design and implement data pipelines, manage Looker, ensure efficient ETL processes, and collaborate with teams to deliver scalable data solutions.

The Data Engineer will build and maintain data pipelines, contribute to architecture decisions, support data governance, and mentor peers, focusing on scalability and reliability.

As a Data Engineer at Monte Carlo, you will build and maintain data pipelines, collaborate with data science teams, and enhance pipeline reliability using the company's own product.

The Distinguished Data Engineer will drive the adoption of modern technologies, collaborate on data challenges, mentor talent, and promote engineering excellence.

The Python-ETL Data Developer will assist in onboarding client data into MySQL, support Snowflake offerings, and improve documentation. Key skills include Python and database experience.

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.

Responsible for designing, building, and deploying data pipelines, supporting customer implementations, and collaborating with data scientists on health data integration.

The Data Engineer will design, build, and maintain data infrastructure, create ETL/ELT pipelines, optimize data management processes, and collaborate with teams to ensure high-quality data solutions.

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

Manage AI model development and validation, lead large projects, provide strategic client interaction, and foster high-performing teams for operational excellence.

Develop and enhance machine learning models, mentor juniors, maintain standards, and build client relationships while navigating complex situations.

The role involves leading AI projects within risk and compliance, developing AI models, and mentoring team members, while ensuring project success and stakeholder management.

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

Design and optimize scalable data models and SQL pipelines for executive reporting. Collaborate with stakeholders to ensure data quality and accuracy in analytics solutions.

As an AI/LLM Data Engineer, you'll drive innovation in AI model applications, focusing on prompt engineering, system design, and data analysis, while collaborating with cross-functional teams.

As a Forward Deployed Data Engineer, you will design and implement secure cloud-based data solutions, develop ETL/ELT pipelines, and collaborate with government customers to enhance data analytics capabilities

The role involves designing data pipelines, creating dashboards, developing Python and SQL components for automation, maintaining cloud infrastructure, and collaborating on project objectives.

The Data Engineer will build and maintain ETL pipelines, ensure data quality, support governance, and collaborate with teams to improve data for analytics and AI/ML products.