Top Data Engineer Jobs in Washington, DC

As a Data Engineer at Swan, you will design and build a data infrastructure, manage data quality, and collaborate with teams to ensure data governance and integrity.

The Senior Data Engineer will build scalable data pipelines to process data, support platform efficiency, and enable smart analytics at Netflix.

The Lead Data Engineer is responsible for designing, developing, and maintaining ETL pipelines to manage financial data, ensuring compliance and business intelligence.

As a Python engineer on the data platform team, you'll enhance tools for data pipelining and analytics, collaborate with teams to address challenges, and improve software engineering culture at Doximity.

As a Data Engineer, you'll design, develop, and maintain data pipelines and collaborate with stakeholders to ensure data infrastructure meets their needs, while championing best practices in software engineering.

Lead the implementation of AML detection pipelines using Palantir Foundry. Train team members in technical skills and oversee data architecture and maintenance.

The Data Engineer designs and maintains data pipelines, optimizes data flow, collaborates with data scientists, and enhances observability. Requires strong Python and SQL skills and experience with data lake architectures.

The Senior Data Center Linux Engineer manages Linux servers, troubleshoot issues, develops automation scripts, ensures secure configurations, and deploys containerized applications.

The Sr. Network Data Center Engineer will design and manage network infrastructure, ensuring high availability, security, and performance for virtual environments and storage systems.

The role involves building data infrastructure, maintaining ETL pipelines, collaborating with analysts, and improving data models and processes.

Design, build, and maintain scalable data pipelines and infrastructure. Collaborate with data scientists to ensure efficient data processing and analytics solutions.

The Staff Engineer will focus on finance data analysis and modeling, contributing to innovations that improve customer experience and business performance.

As a Data Analytics Engineer, you'll design and engineer visualizations and dashboards, utilizing various data technologies and insights. You'll work collaboratively to optimize data workflows and support operational goals.

As a Data Engineer, you will build and optimize data pipelines, manage ETL workflows, and ensure efficient data access and quality within the infrastructure.

The Software Engineer II will design and optimize distributed systems for processing metadata, collaborating closely with cross-functional teams to integrate machine learning models into production pipelines.

The Data Engineer will maintain and enhance data pipelines and manage third-party integrations in Azure and Databricks environments.

As a Senior Software Engineer, you'll architect systems, develop ETL pipelines, and design data models to support blockchain data analysis at petabyte scale. You'll collaborate with teams to enhance product offerings while ensuring high performance and availability.

The Senior Data Engineer will design and maintain data solutions, optimize data pipelines, and collaborate with data scientists to implement AI models.

Lead the data engineering team, mentor engineers, manage data pipelines, develop data infrastructure for analytics and AI, oversee projects, and implement data governance and quality measures.

Design and implement software solutions for data management and ingestion across enterprise AI/ML systems. Build and maintain distributed systems, solve complex engineering problems, and collaborate with teams for efficient data management.

The role involves developing data pipelines, implementing data monitoring strategies, supporting ML and AI-related projects, and enhancing data systems at Progyny.

Responsible for maintaining and enhancing data warehouses and pipelines, developing scalable ETL processes, data analysis, and reporting through visualization tools like PowerBI.

Design and deploy data processing pipelines, analyze data to extract insights, and develop software systems for data management and privacy.

Design, build, and maintain secure data pipelines, optimize data models, ensure compliance, and troubleshoot data quality issues.

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