Top Hybrid Data Engineering Jobs

The Data Operations Manager will lead the team, define extraction logic for asset data, and train AI models while collaborating with product and clients.

The Data Platform Operations Engineer ensures the reliability and performance of the Performance Team's data systems, managing data workflows, monitoring ETLs, resolving data issues, and optimizing performance.

The Data Solutions Architecture Manager will lead in component architecture, develop standard patterns and guidance, ensure compliance with established standards, and provide consultation on data capabilities across business areas.

As an Analytics Engineer, you will design and manage the data architecture for HR Performance & Goal Management, integrating various data sources and ensuring compliance with data governance standards.

The role involves improving reconciliation processes, training, project management, and providing expert guidance on data flow and reconciliation tools. Responsibilities include conducting training sessions, ensuring compliance, and leading automation initiatives.

The Lead Data Migration Specialist optimizes client data onboarding by utilizing Excel and SQL, collaborating with development teams to improve efficiency and resolve issues in data migration, while applying accounting knowledge and project management skills.

The Senior Lead Analyst in Data Engineering is responsible for requirement gathering, building data enablement solutions, and overseeing ETL processes, while driving project delivery and mentoring team members.

The Lead Data Engineer will design and build data architectures, lead a team, and develop ETL processes using cloud technologies to optimize data solutions for the U.S. business.

As a Senior Lead Data Engineer, you will design, develop, and support data solutions, optimize systems, and collaborate within Agile teams to leverage technology for business transformations.

The Senior Lead Data Engineer designs and develops technical solutions, leads a team of developers, and utilizes big data and cloud technologies to deliver robust solutions for Capital One.

Lead a team of engineers to design and implement data solutions using cloud technologies, optimizing data pipelines and collaborating with Agile teams to deliver impactful data-driven products.

The Senior Data Engineer will design and optimize database schemas, manage ETL processes, debug issues, and lead engineering efforts while mentoring junior engineers.

The Database Administrator manages databases, collaborates with engineering, implements changes, ensures high availability, and supports various stakeholders in a MySQL environment.

The role involves designing and maintaining ETL/ELT pipelines, integrating diverse data sources, automating Fabric environments, and collaborating with global teams on data solutions.