Top Hybrid Data Engineering Jobs

As a Senior Data Engineer, you will build and optimize foundational datasets, data pipelines, and analytical dashboards while ensuring data quality management.

The Senior Data Engineer will build and manage data pipelines, optimize data structures, automate workflows, and collaborate with teams to ensure data reliability.

The role involves leading analytics, managing data pipelines, ensuring data quality, and translating data into actionable insights for business impact.

The Refineries Analyst will maintain data integrity and enhance refinery models, utilizing Linear Programming and collaborating with various teams to optimize data-driven refinery modeling and operations.

Design and deploy object detection and tracking modules; develop ML algorithms; guide team members; improve data governance and quality assessment.

As a Data Engineer, you will build and maintain data pipelines, ensure data reliability, collaborate with teams, and drive improvements in data platforms while supporting analytics and decision-making.

As a Data Engineer, you will design and optimize data platforms using Microsoft technologies, develop ingestion pipelines, and implement data architectures to support analytics needs.

The EDI Analyst is responsible for managing EDI projects, designing and maintaining EDI maps, ensuring compliance with standards, troubleshooting issues, and serving as a technical contact for stakeholders.

The Staff Data Engineer will lead the architecture and reliability of Hinge Health's data platform, manage technical complexity across teams, set data standards, and enhance engineering practices.

As a Data Engineer at Promise, you'll design data architectures, automate workflows, enforce data quality, and support analytics, enabling data-driven decisions.