Top Hybrid Data Engineering Jobs

Work with internal and client teams to design and implement data-driven technology solutions. Apply SQL, Python, and data platform knowledge to process structured/unstructured data, build BI and engineering artifacts, communicate findings to stakeholders, and adapt to new tools and architectures while supporting client-facing delivery.

The Senior Analytics Engineer will design and maintain ELT pipelines, manage data layer for CX, and partner with teams to transform data into actionable insights.

The Data & Analytics Development Program offers recent graduates accelerated development through 3 rotations in different areas, focusing on data science, data engineering, and analytics projects.

This role provides a comprehensive development experience in Data Science or Data Engineering through rotational assignments in various business areas. Responsibilities include analytics project support, data management, and collaboration with different teams.

This role is for recent graduates in the Data & Analytics field, focusing on practical experience as Data Scientist, Data Engineer, or BI Analyst through a rotation in various business areas at John Deere.

Designs and builds technology architecture to manage and utilize structured and unstructured data. Ensures data quality and develops strategies for data acquisition and storage. Collaborates with teams to optimize data processes and adheres to data privacy regulations.

Lead Data Engineer responsible for data architecture, building scalable data pipelines, ensuring data quality, providing technical leadership, and collaborating across teams.

The Lead Data Engineer at NBCUniversal is responsible for building data engineering pipelines, optimizing cloud-based data systems, and supporting analytics initiatives. They will coordinate with teams, identify bottlenecks, ensure data quality, and document processes.

Lead technology initiatives for business problems, develop systems and procedures, evaluate challenges, and coordinate communication between teams for CCaaS migrations.

As the Staff People Analytics Architect, build analytics infrastructure, create AI-powered tools, and ensure data accuracy to enhance decision-making in HR processes.

The Sr. Analytics Engineer at Philo is responsible for designing data models, governing business metrics, collaborating with stakeholders, and ensuring data quality and documentation for analytics purposes.

Lead analytics initiatives for cost optimization at GM by building data pipelines, performing exploratory data analysis, and developing predictive models. Collaborate with cross-functional teams to design data architectures, analyze data quality, and provide actionable insights to enhance profitability and performance.