Top Hybrid Data Engineering Jobs

The Data Engineer will develop Python data pipelines, work on complex problem resolution, build CI/CD pipelines, and enhance software quality.

The Data Engineer will design data models, build data warehouses and lakes, automate data pipelines, and enable data accessibility while maintaining security standards in a complex environment.

The Associate Analytics Engineer will optimize data for analysis, collaborate with teams for modeling, validate data, and maintain quality standards.

The Data Migration Specialist enhances server efficiency by optimizing data onboarding using Excel and SQL while collaborating with development teams.

The Data Engineer collaborates with Agile teams to develop and support technical solutions, focusing on big data technologies, cloud services, and full-stack development.

The Lead Data Engineer collaborates with Agile teams to develop, test, and implement data solutions, utilizing advanced programming languages and cloud technologies to drive data transformation efforts within Capital One.

As a Senior Agentic Analytics Engineer, lead the development of AI-driven analytics systems that proactively provide insights and recommendations, driving business decisions by implementing cutting-edge AI and data engineering practices.

As a Senior Agentic Analytics Engineer, you'll build AI-driven analytics systems to proactively offer insights and influence business decisions. Responsibilities include developing AI tools, owning analytics pipelines, and driving data models that support automation and intelligence in business operations.

The Senior Data Engineer will maintain and modernize financial data, support data pipelines, collaborate with teams to deliver solutions, and contribute to platform modernization efforts.

The Senior Data Engineer will enhance and modernize GRS financial data, build and support data pipelines, and collaborate with teams to provide data solutions. Responsibilities include optimizing data cubes, utilizing ETL tools, and mentoring others.

The Senior Data Engineer will maintain and modernize GRS financial data, develop ETL/ELT pipelines, and support data governance while collaborating with stakeholders to deliver insights and improvements.

As a Data Engineer, you will develop scalable data pipelines, optimize performance, ensure data reliability, and collaborate with cross-functional teams on AI-driven features and analytics.

The Senior Snowflake Data Engineer designs and optimizes Snowflake architecture and pipelines, ensuring data governance and performance across Marketing and Sales teams.

The Staff Data Engineer will design and develop data models and pipelines, optimize data engineering processes, and enforce data governance, collaborating with cross-functional teams to meet business needs.