Top Hybrid Data Engineering Jobs

The role involves architecting data models, ensuring data integrity, collaborating with teams on data strategies, and implementing innovative data solutions. Requires strong analytical skills and expertise in data management technologies.

The Associate Data Analyst will design and maintain data pipelines, collaborate with teams for data solutions, ensure data quality, and leverage cloud platforms while optimizing ETL processes.

Manager of Data Platform Engineering responsible for ensuring data reliability, leading a data engineering team, setting platform standards, and collaborating with internal stakeholders to enhance data capabilities.

As a Senior Configuration Engineer, you will enhance the use of SimCorp Dimension, configure financial solutions, and improve investment finance knowledge.

The Business Analytics Consulting Director will design, develop, and maintain enterprise data models. This role focuses on cloud-based analytics, collaborating with cross-functional teams and ensuring adherence to standards while driving business value in a rapidly expanding environment.

The Senior Staff Demand Planning role involves designing and deploying AI/ML-driven capacity forecasting models, collaborating with cross-functional teams, and enhancing forecasting accuracy for infrastructure capacity planning.

Design and build secure data pipelines, lead data architecture, collaborate across teams, ensure data quality, and mentor other engineers.

Lead the design and implementation of MetLife's enterprise data platforms, ensuring scalability, governance, and alignment with business objectives. Oversee data integration, platform performance, and team development while driving innovation and compliance with data regulations.

The Vice President of Data Platform Engineering at Mastercard will lead transformation projects to modernize data platforms, ensuring efficient ETL processes and data governance while driving innovation across a global data ecosystem.

The Senior Analytics Engineer will build and scale the analytics foundation, transforming data for decision-making across multiple teams and ensuring data quality and automation.