Top Hybrid Data Engineer Jobs
The Principal for Alternative Data Products at TransUnion will lead the strategy and development of products utilizing alternative data for underwriting and risk assessment. Responsibilities include sourcing diverse data, ensuring product compliance, and collaborating with teams globally to enhance product offerings.
As the Principal for Alternative Data Products, you will drive the strategy and development of products leveraging alternative data for underwriting and risk assessment. Your responsibilities include sourcing diverse data, managing product roadmaps globally, ensuring regulatory compliance, and enhancing existing product offerings based on market trends and customer needs.
The Principal for Alternative Data Products at TransUnion is responsible for driving the strategy and development of products utilizing alternative data for underwriting and risk assessment. This role involves sourcing diverse data, managing product roadmaps, ensuring compliance with data regulations, and leading cross-functional teams to innovate and scale products globally.
As a Senior Business Data Architect at Cox Business, you will innovate data solutions, enhance marketing strategies, and develop a cohesive data ecosystem. You'll work with Salesforce technologies, advocate for marketing needs, and engage in hands-on coding to create prototypes, while collaborating with cross-functional teams to drive effective data-driven solutions.
Looking for a Data Engineer to create solutions for Apex Compliance and Regulatory team using next generation cloud-based data platform. Responsibilities include designing, developing, and deploying solutions on large scale trading data, building reporting infrastructure, and delivering data sets to regulatory entities and vendors.
Featured Jobs
As Director of Material Master Data Solutions, you will lead IT projects for the global ERP Product Master, manage financials and teams, develop strategies, and provide leadership across various functional organizations to enhance efficiency and innovation in the organization.
The Director, Analytics and Data Platform Delivery leads teams in managing and delivering analytic/data platforms, ensuring alignment with Pfizer's strategic vision. Responsibilities include overseeing design, security, compliance, and financial management of data technologies while fostering innovation and collaboration with senior leadership and external partners.
The Director of Analytics and Data Platform Delivery is responsible for managing the technologies within Pfizer's data ecosystem, overseeing design, engineering, and delivery. This role includes team leadership, stakeholder management, and promoting innovation across various data practices. The director will ensure alignment with business objectives and foster a DevSecOps culture for efficient technology asset management.
The Warehouse Data Entry role involves ensuring a clean and safe working environment, inspecting returned goods, recording data accurately in Excel, and creating or updating Return Goods Authorizations. The incumbent is also expected to identify process deviations and contribute to continuous improvement efforts.
The AI Data Engineer will lead the development of datasets for AI training and testing, collaborating with engineering and product teams to define data specifications, optimize processes, and automate the data lifecycle. Responsibilities include managing data annotation quality, gathering various types of data, and improving efficiency in data handling.
Develop and implement custom GenAI models for various supply chain challenges, manage large datasets, train and evaluate models, deploy models into existing systems, collaborate with cross-functional teams, stay updated on GenAI technologies, and contribute to research and development.
The R&D Head for Digital, Data, and Technology at Takeda leads the integration of AI, data, and digital technologies across R&D. This role focuses on enhancing the speed and quality of discovering, developing, and delivering innovative medicines, and manages the digital transformation efforts company-wide.
As a Senior Associate in Tech & Data Solutions, you will leverage advanced analytics and data visualization techniques to drive insights for clients. Your responsibilities include building tech-enabled solutions, mentoring junior members, analyzing complex problems, and maintaining professional standards while managing stakeholder expectations.
As a Deals Tech & Data Solutions Associate at PwC, you will leverage advanced analytics techniques to analyze large datasets, support clients in decision-making, and navigate multiple engagements while developing your skills in business consulting.
As a Manager, you will lead a team to solve complex business challenges, develop and coach team members, analyze proposals, and make data-driven recommendations while upholding ethical standards. You will also help improve applications and systems within the financial services sector, focusing on areas like insurance and investment management.
As a Data Science Associate Consultant, you will develop advanced algorithms, apply statistical techniques, analyze data trends, collaborate with clients, and mentor team members. Your role involves leveraging data to address business challenges and contribute to thought leadership through research.
As a Machine Learning Engineer at ZS, you'll develop and maintain ML models, implement MLOps, scale algorithms for large datasets, and collaborate with teams to ensure high-quality deliverables. Your responsibilities include building model pipelines, writing production-ready code, and exploring new technologies to innovate AI solutions.
As a Machine Learning Engineer at ZS, you will build and monitor model pipelines, scale algorithms for massive data sets, and enhance ML platforms. Your responsibilities include implementing ML Ops, writing production-ready code, collaborating with teams, and researching new technologies.
As a Data Governance Lead, you will manage the implementation of data governance frameworks and processes across HR and Employee Experience. Key responsibilities include overseeing data risk metrics, facilitating audits, driving compliance with regulations, and collaborating with stakeholders to improve data management practices.
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