Top Remote Senior Level Data & Analytics Jobs in Wilmington, NC

The Senior Data Engineer will manage the inbounding and validation of healthcare data, design and maintain scalable data pipelines, enforce data quality standards, and mentor team members. They will collaborate with teams to provide data solutions while ensuring performance optimization in a dynamic environment.

As a Senior Data Engineer, you will collaborate with clients to design and maintain advanced data platforms, develop real-time data processing systems, and create documentation and training materials. Your role includes building ETL pipelines, data warehouses, and RESTful microservices primarily using cloud services while ensuring effective communication of complex concepts to technical and non-technical stakeholders.

As a Senior Security Analyst, you will analyze user behavior, logs, and alerts to detect and respond to cybersecurity threats. You will utilize various security technologies, monitor SIEM systems, handle client incidents, and refine threat detection strategies. Your role includes collaborating with team members to enhance security operations and stay updated on cybersecurity trends.

As a Data Architect, you will lead and expand the Data Platform initiatives, overseeing the development and maintenance of the Enterprise Data Platform, including a Serverless Data Lake and Cloud Data Warehouse while managing a high-performing data team.

The VP, Enterprise Data Sales at Predactiv will lead the adoption of DaaS solutions within the Advertising & Marketing ecosystem. Responsibilities include developing sales strategies for complex enterprise prospects, enhancing customer engagement with the Predactiv Data Platform, preparing technical presentations, and identifying upsell opportunities to drive revenue growth.

The Principal Solutions Architect will engage with top research labs to enhance product adoption and maximize value through technical leadership. Responsibilities include leading Proof of Concepts, conducting technical demos, documenting best practices, and collaborating to address customer challenges. The role requires hands-on expertise in AI/ML frameworks while identifying upsell opportunities.

As a Senior Machine Learning Engineer, you will design and engineer ML systems for various industries, promote technical thought leadership within the data science team, and work across different ML approaches. Responsibilities include collaborating with stakeholders, addressing technical challenges, and deploying production ML solutions in a cloud environment.