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Top Remote Senior Level Data & Analytics Jobs in Wilmington, NC
The Senior Cyber Risk Management Engineer will execute engagements centered on recognized cybersecurity frameworks, assess governance and compliance programs, develop methodologies to enhance client security postures, and prepare reports for executives. The role also involves staying updated on industry trends and collaborating with offensive security teams to enhance clients' security strategies.
The Senior Data Engineer will be responsible for developing technical migration plans, building scalable data ingestion frameworks, ensuring data quality, and providing technical guidance during the migration process. Collaboration with cross-functional teams to deliver high-quality solutions in various business domains is essential.
The Senior Data Engineer will develop technical plans for data migration involving ingestion, transformation, storage, and access control primarily using Azure. Responsibilities include ensuring data quality, implementing robust data validation, and providing technical guidance to teams while keeping up with advancements in data engineering technologies.
The Senior Data Engineer will work with the BAI team to develop data solutions, overseeing data migration and management, ensuring data quality, using Azure's Data Factory, and providing technical guidance. The role requires collaboration with cross-functional teams to address challenges in various domains including supply chain and finance.
The Director of Business Development will lead client relationships focusing on data and AI. Responsibilities include optimizing services, crafting proposals, and engaging C-level clients. The role involves strategic development and execution of business opportunities, alongside collaboration with internal teams to drive innovation and maintain client satisfaction.
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The Senior Data Engineer will design and build data pipelines for healthcare analytics, supporting the enterprise data management efforts at Datavant. They will utilize technologies like Kubernetes and Python to develop complex data lakes and warehouses while collaborating with Agile teams to ensure high-quality data solutions.
The Associate Director, Aggregate Report Scientist manages the production of Aggregate Safety Reports, oversees quality compliance with global pharmacovigilance regulations, and collaborates with stakeholders. They identify process improvements and mentor staff, ensuring high-quality outputs and adherence to safety requirements.
As a Principal Threat Researcher at Palo Alto Networks, you will assess cyber threats, track malicious actors, and provide actionable intelligence. You will collaborate with a global team to analyze threats, utilizing datasets and developing assessments while improving detection capabilities within the product ecosystem.
As a Manager of Data Ingestion, you will lead a team of Data and Software Engineers responsible for ingesting and processing data from numerous partners. Your role involves mentoring, managing projects, participating in code reviews, and improving engineering processes while ensuring effective communication across teams.
The Lead Data Engineer will design, develop, and implement data pipelines, warehouses, and lakes while ensuring data quality and integrity. They will engage with stakeholders, document requirements, and lead efforts to maintain and monitor the data infrastructure.
The Operations & Analytics Manager will optimize operations for Aptos Foundation, develop strategic plans for operational efficiency, manage resources, conduct data analytics to identify efficiencies, and implement risk management strategies. This role requires collaboration with various teams and a strong background in operations within the Web3 or blockchain space.
The GCP Data Engineer will design and maintain data infrastructure, create scalable solutions, migrate historical data from Teradata to GCP, and implement data pipelines. Responsibilities include optimizing performance, ensuring data quality, applying security measures, and collaborating across teams to deliver data-driven applications and analytics solutions with a focus on healthcare.
As a GCP Data Engineer, you will design, build, and maintain data infrastructure and processing systems to support analytics and business intelligence. Responsibilities include data integration, optimizing performance, ensuring data quality, implementing security measures, and collaborating with cross-functional teams.
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