Top Hybrid Data Engineering Jobs

Interns will assist with building dashboards, creating machine learning models, and modernizing data systems while collaborating with stakeholders across MetLife.

Lead a team of data engineers and analysts, manage cross-functional data projects, and integrate insights to improve product and customer value.

The Geospatial Data Engineer designs and implements data architectures and systems for intelligence analysis, supporting GEOINT analysts with automation and model creation.

Lead engineering for the Data & Analytics Solutions portfolio, driving technical execution, product evolution, process governance, and business growth. Functionally lead Program Engineering Managers, oversee lifecycle activities, technical bid/design reviews, and collaborate with product, portfolio, and chief engineering leadership. Hybrid onsite/remote role supporting IC and DOW customers.

The Senior Data Engineer will operationalize data governance by developing tools for data discovery, maintain data quality, and implement enterprise initiatives.

As an NLP Data Engineering Intern, you will transform text data into insights, design pipelines, and collaborate with teams to support AI applications.

The Senior Enterprise Applications Engineer designs and maintains data architecture and pipelines, supports financial reporting, manages projects, and mentors junior members while utilizing business intelligence tools and emerging technologies.

The Senior Data Center Administrator is responsible for data center operations including inventory management, logistics, vendor coordination, and capacity planning. The role requires technical expertise and strong communication skills to ensure efficient data center environments across multiple locations.

The Senior Data Center Administrator oversees operations, including inventory management, vendor coordination, capacity planning, and safety compliance in the data center.

Lead Data Engineer responsible for designing, building, testing, and supporting cloud-based data platforms and streaming solutions. Collaborate across Agile teams, mentor engineers, apply big data and distributed computing tools, and deliver performant, production-grade data services that support product and ML use cases.

Summer internship on the Data & Analytics Platform team building automation, model prototypes, and platform features. Work with engineers to write, test, and deploy code, partner with internal customers to prototype ML and generative workflows, and participate in design discussions and code reviews in an agile environment.

Design, build, and maintain scalable data pipelines and technical solutions using AWS, PySpark, and Cloudera. Lead modules, translate business needs into technical designs, manage delivery, mentor team members, and support project planning, testing, deployment, and operations.

The Data Analytics Engineer will develop data models, perform data wrangling, and create dashboards to drive insights for business decisions at Bose Corporation.