Top Hybrid Data Engineering Jobs

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.

Assist in developing, testing, and maintaining software applications, collaborate on designs, participate in code reviews, and contribute to documenting processes.

Design and implement data solutions for the Marketing Finance team, including data marts and ETL processes, while collaborating with stakeholders.

The Staff Data Engineer will design and optimize data pipelines, collaborate with stakeholders, mentor team members, and lead architectural decisions in data infrastructure.

The Director will lead the Data Engineering and Analytics department, managing analytics teams, driving improvements, and communicating with senior leadership while overseeing data projects and standards.

The Data Engineer will build datasets and pipelines for marketing and sales reporting, collaborating with various teams to support data needs and ensure scalable solutions.