Top Internet of Things Data Engineering Jobs

Manage the data architecture and strategic planning for the Sales team, optimizing processes through data and AI for targeting accounts and pricing strategies.

As a Digital Innovation Co-Op, you'll work on projects involving AI and machine learning to enhance supply chain operations, collaborating with engineers and data scientists to automate workflows and analyze data.

The Data Engineer will design and manage scalable data solutions, focusing on ETL pipelines, data quality, and integration for reliable analytics. They will collaborate with stakeholders to ensure data accuracy and compliance while resolving data issues and optimizing performance.

The Lead Analytics Engineer will model revenue, specifically subscription revenue, manage financial KPIs, and ensure reconciliation with source systems like Stripe, while adhering to data governance standards.

Lead the design and evolution of the enterprise data platform, establish standards, mentor teams, and collaborate across departments to deliver high-quality data products.

The job involves data modeling (conceptual, logical, physical) and requires strong SQL skills. Familiarity with Erwin and healthcare experience preferred.

The Data Engineer will build and maintain data pipelines, ensure metric definitions, and collaborate with teams to deliver quality data products.

Design and develop data solutions, optimize ETL/ELT pipelines, integrate ML models, collaborate with engineers, and operationalize analytics for semiconductor R&D and operations.

As a Data Engineer at LiveKit, you will manage the analytics infrastructure, develop scalable GCP-based data pipelines, and ensure effective data movement and transformation processes, while collaborating with the Analytics and engineering teams.

The Principal Data Engineer will lead data architecture initiatives, design scalable data systems, and oversee data standards across teams while ensuring high-quality data infrastructure and guiding engineering teams.