Top Hybrid Data Engineer Jobs

The Data Engineer will join a data modeling team focusing on creating well-architected Data Cloud models for various industries. Responsibilities include designing, developing, and testing data models for analytical applications, collaborating with product teams, and improving data modeling practices. The role requires hands-on experience in data modeling and design.

As a Machine Learning Engineer, you will develop and deploy machine learning models to tackle complex business problems. Responsibilities include collaborating with cross-functional teams, analyzing data, optimizing models, and ensuring production-quality deployments while staying updated on machine learning advancements.

In this role, you will lead various data and analytics projects, collaborating with client leaders to address business challenges using data-driven strategies. Responsibilities include designing and executing analytics strategies, mentoring junior staff, and supporting the growth of the consulting practice.

The Senior Consultant leads clients through transformational data and analytics strategies, collaborates with leaders to address business challenges, and contributes to consulting practice enhancement while managing teams on analytics initiatives.

As a Data and Analytics Senior Consultant, you will lead transformational change by designing and executing data and analytics strategies, collaborating with customers to address business challenges, and contributing to the growth of the consulting practice through exceptional service and business development.

The Machine Learning Engineer will collaborate with research scientists and partner laboratories to develop and improve end-to-end ML pipelines for multimodal models. The role involves training and serving robot foundation models while enhancing data infrastructure and contributing to significant publications.

Lead a team of data scientists and engineers to develop innovative measurement products and data-driven solutions, ensure high-quality project delivery, and establish best practices for data science projects. Collaborate with multiple teams to enhance TV measurement and methodology while mentoring team members and advancing an inclusive culture.

The Principal Engineer will lead the Operations Analysis team to deliver analytical products guiding business strategy and product development. The role involves designing rigorous analyses, supporting requirements definitions and effectiveness studies for military operations, enhancing internal modeling and simulation capabilities, and presenting analytical findings to stakeholders.

The Data Engineer will collaborate with customers to understand their data management strategies, implement and optimize data solutions, design data architectures, and contribute to advanced analytics and machine learning implementations using AWS and IBM services. The role includes driving innovation and documenting data flows.