Top Remote Senior Level Data Engineer Jobs in Wilmington, NC

The Data Steward role involves ensuring organized, robust data usage across the company, developing data governance policies, managing data catalog systems, and providing data insights training. It requires collaboration with various departments to optimize data access and compliance. The position calls for strong documentation skills and 5+ years of relevant experience in data management.

The Data Engineering Management Analyst will manage data migration, implement business management principles, and create ETL jobs using Azure Data Factory. Responsibilities include leading meetings, providing training, and contributing to business management and forecasting using advanced data techniques and tools such as PowerBI.

As a Senior Analytics Engineer, you will enhance the data infrastructure supporting finance, manage data ingestion, and ensure data quality. You'll lead analytical projects, design schemas, and be a liaison between business and technical teams to facilitate effective reporting and analysis.

The Senior Data Systems Engineer will support Vistrada’s Business Intelligence team by addressing operational challenges related to data systems. Responsibilities include developing technology innovation plans, data modeling, ETL processes, report/dashboard creation, and designing data analytics platforms, along with potential machine learning applications.

The Senior Director of Strategic Partnerships at insightsoftware will develop and manage the company’s partner program for Logi Symphony, focusing on identifying, onboarding, and enabling partners. They will drive incremental bookings via reseller and technology partnerships, collaborate with cross-functional teams, and utilize data for performance assessment and strategic decisions.

The Database Administrator will manage and optimize geospatial databases, collaborate with GIS and application developers, monitor database security, and assist with database design and development for enhancements. Responsibilities also include data conversion procedures and documenting database management methodologies.

In this role, you'll improve processing efficiency of data by automating forecasting pipelines, monitoring system performance, and optimizing workflows. You'll work with distributed computing to handle large-scale data, ensuring a scalable infrastructure for growth while collaborating with engineers and data scientists to provide valuable insights for new products and customer service.