Top Data Engineer Jobs in Washington, DC

As a Data Engineer, you'll design and maintain data platforms and pipelines for analytics, collaborate with data scientists, and enhance technical infrastructure using AI technologies.

The Data Engineer will write and maintain data pipelines, analyze large datasets, improve data reliability and security, and develop analytic tools.

The role involves designing data infrastructure, implementing data pipelines, and providing strategic guidance while managing teams to enhance data solutions and governance.

The GCP Data Engineer Manager at PwC focuses on leading data engineering projects, developing data infrastructure, and mentoring team members to drive business solutions.

As a Senior Manager in Data Engineering, you will lead projects, design data architecture strategies, develop data solutions, and interact with clients to ensure successful implementations.

As a Data Engineer Director, you will lead data initiatives, develop strategies, oversee projects, and maintain client relations to drive business growth.

The Data Engineer will design and optimize data pipelines, ensure high data quality, and collaborate closely with data scientists and engineers.

The HR Data Engineer will enhance HR data foundations by designing scalable data pipelines, ensuring data quality, and collaborating with various teams to drive data-driven decisions in talent management and analytics.

Design and maintain data infrastructure for analytics and ML; develop ETL/ELT pipelines, cloud cost optimization, and data governance workflows.

As a Distinguished Data Engineer, you will drive the adoption of modern technologies, collaborate on key business challenges, and mentor talent while promoting engineering excellence.

As a Data Engineer III, you will develop and maintain high-performance ETL pipelines and scalable data processing systems on Google Cloud Platform, while collaborating with teams to deliver quality solutions.

As a Forward Deployed Data Engineer, you'll design and deploy cloud-based data lakehouses, develop ETL pipelines, and collaborate directly with government customers to enhance security and scalability.

Develop and implement analytics infrastructure and data pipelines, create dashboards, integrate systems, maintain cloud infrastructure, and coordinate projects.

The Data Engineer will design and maintain ETL/ELT pipelines, ensure data quality and governance, and collaborate with teams to deliver clean datasets for analytics.

Lead the design and implementation of data pipelines and ML systems for Yahoo's Consumer Monetization Platform, ensuring efficient data processing at a petabyte scale.

As a Senior Software Engineer, you'll improve Doximity's data platform and lead software enhancements while collaborating with data teams to streamline their workflows.

As a Data Engineer, you will optimize and scale Paxos' data platform, manage AWS resources, enforce data governance and security, and develop robust data pipelines using modern data tools.

The Senior Software Engineer will design and maintain data infrastructure, coordinate with analysts on ETL processes, and collaborate on data products while ensuring data quality and availability.

The Senior Data Engineer will design and optimize data/ML pipelines and architectures, collaborate with teams, ensure data quality, and mentor juniors.

As a Cloud Data Engineer, you will design, implement, and manage Azure data solutions, focusing on data pipelines and infrastructure, while ensuring compliance and collaboration with teams.

Deliver growth-driven features and experiences for data capture and experimentation, collaborating across teams and mentoring junior engineers on best practices.

As a Data Engineer, you will build data pipelines, architect data models, and deliver reporting practices to support decision making and business analytics.

As a Senior Data Platform Engineer, you'll build scalable infrastructure, optimize data workflows, and develop tools for data accessibility across teams.

As a Senior Data Engineer at Samsara, you will develop and maintain data pipelines, manage data integration, and improve data architecture to enable analytics and support business growth.

The Senior DataOps Engineer will design, implement, and optimize cloud data operations pipelines, ensure seamless analytics service integration, and mentor junior engineers.