Top Data Engineer Jobs in Washington, DC

The Azure Data Platform Solution Architect designs, develops, and implements data solutions using Azure technologies, ensuring optimal performance and delivery across the enterprise.

The Staff Software Engineer will develop and optimize financial data reconciliation systems, implement scalable solutions, and collaborate with cross-functional teams to ensure data integrity and compliance.

As a Senior Data Engineer at Trust Wallet, you'll design and maintain data infrastructure on AWS, develop data pipelines, and optimize data storage and governance processes for analytics and decision-making.

The Senior Data Engineer will develop data pipelines, maintain data infrastructure, and collaborate on data modeling and management. Responsibilities include implementing cloud-native solutions and monitoring data workflows while fostering team collaboration and personal growth.

As a Senior Software Engineer, you will build and operate data services, provide technical leadership, and coach other engineers while collaborating effectively across teams, particularly focusing on managing large healthcare data volumes.

The role focuses on building robust data pipelines, designing scalable solutions, and mentoring teams in data engineering practices, impacting data quality and product delivery.

Lead the rebuild of PerformLine's data platform, architect Snowflake-based stack, design pipelines, ensure data quality, and collaborate across teams.

Lead design and implementation of products, mentor engineers, drive innovation, and build scalable data solutions using modern tech stack.

The Sr. Data Engineer will build and optimize data pipelines, support data strategies, and leverage AI tools, with a focus on software engineering best practices.

The Senior Data Engineer will design and implement data architectures and pipelines, collaborate with teams on data services, and support data analytics initiatives.

Design and optimize data pipelines using Scala/Spark on AWS. Collaborate with teams, ensuring efficient operation and debugging systems. Maintain performance and cost-efficiency.

The Senior Data Engineer will lead the development of scalable data processing pipelines, mentor team members, and enhance AI workflows for the Material Hub platform.

Responsible for designing, developing, and maintaining data infrastructure, pipelines, and warehouses while supporting analytics and machine learning operations.

The role involves designing, building, and scaling data pipelines, collaborating with cross-functional teams, and leading technical direction. It includes mentoring team members and promoting best practices in software development.

As a Senior Data Engineer, you'll build a data platform in Azure, design and implement data pipelines, develop cloud microservices, and mentor engineers while working with AI models.

As a Senior Data Engineer, you'll build a cloud-native Data Platform in Azure, design data pipelines, and collaborate with data scientists on AI/ML applications.

As a Senior Data Visualization Engineer, you will create data visualizations, collaborate with teams to build reporting solutions, and translate business goals into actionable insights.

We are looking for a Staff Data Engineer to design data infrastructure, build processing pipelines, and mentor engineers, focusing on high performance and analytics.

Lead the design and management of scalable data pipelines, develop canonical datasets, drive data architecture decisions, and partner with cross-functional teams to deliver impactful solutions.

Design and build data pipelines, develop and maintain scalable data infrastructure, collaborate across teams, and implement data quality frameworks.

The role involves building and optimizing data pipelines, modeling datasets, applying machine learning techniques, and supporting data strategies. Candidates should have experience with Python, data lakes, warehousing, and related technologies.

The Senior Data Analytics Engineer designs and implements data models and analytics solutions, oversees data pipelines, and collaborates with teams to drive insights.

The Senior Data Infrastructure Engineer will improve data infrastructure, manage data pipeline architectures, enhance observability, and guide the evolution of the data platform to support business analytics and AI use cases.

As a Senior Platform Engineer, you will develop and manage cloud and cold storage solutions, automate processes, and ensure system performance and security.

The Sr Data Engineer will lead data engineering initiatives, design and build data architecture, oversee software deployment, and support team operations while handling complex healthcare data.