Top Senior Level Software Engineer Jobs in Wilmington, NC

You will accelerate product growth through experimentation, data analysis, and technical solutions, collaborating across teams to optimize growth metrics.

As a Senior Data Platform Engineer, you'll design data infrastructure and APIs, develop scalable data pipelines, and collaborate with teams on data solutions.

The Senior Data Engineer will build and scale data assets, improve data quality, create data pipelines, and enhance platform capabilities in a cross-functional setting.

Design and develop full-stack components, troubleshoot issues, mentor engineers, contribute to DevOps, and collaborate in an agile environment.

Lead the design and implementation of data pipelines and systems, mentor engineers, and ensure data quality for analytics and ML applications.

Lead and manage the Data Curation team, defining strategic roadmaps and ensuring efficient delivery of data tools and frameworks. Collaborate with cross-functional teams to enhance data governance and infrastructure, while also mentoring a high-performing team.

The Sr Engineer DV Prof Svcs at CDW leads the implementation and management of Epic Healthcare solutions, collaborating with clients and stakeholders to ensure optimal system performance and upgrades. Responsibilities include strategy development, technical delivery of Epic systems, and mentoring sales teams. The role requires strong customer-facing skills and an understanding of healthcare technology trends.

This role focuses on enhancing CrowdStrike's Falcon sensor's detection and response functions, requiring collaboration across teams and complex system understanding.

The Engineering Manager will lead the Toast Now team, driving product delivery, mentoring team members, ensuring software quality, and collaborating across teams.

Lead the web application team for IKEA Kreativ, designing features and architectures integrating 3D, AI, and cloud services.

As a Sr. Machine Learning Engineer, you'll develop ML solutions for healthcare, manage data pipelines, write production-ready software, and own ML services end-to-end.