Top Hybrid Data Engineer Jobs
As a Data and Analytics Staff Consultant, you will collaborate on consulting projects, author project documents, manage your time efficiently, and support clients with training and knowledge transfer. You will also assist in project scope prioritization and adherence to delivery models while refining business and technical requirements.
As a Machine Learning Engineer at ZS, you will build and monitor model pipelines, enhance ML engineering platforms, implement ML Ops, and write production-ready code. You will collaborate with teams to deliver projects, participate in scrum meetings, and contribute to evaluating new technologies.
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.
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As a Senior Data Engineer at Axio, you will collaborate with teams to enhance data products, develop ETL pipelines, implement data models, and architect data infrastructure, ensuring data quality and facilitating advanced analytics.
As a Staff Machine Learning Engineer on the Risk team, you will develop machine learning solutions to mitigate risk and fraud while collaborating with various stakeholders to balance business loss and customer experience. You will leverage extensive transaction data to understand customer behavior and create innovative products.
As a Senior Data Engineer, you will lead the design and implementation of data pipelines using AWS, ensuring data quality and governance, collaborating with stakeholders, and upholding security policies. Your role includes technical ownership of ETL/ELT processes and educating the team on best practices.
The Data Science Co-op at Solaria Labs involves supporting various projects related to public health and safety using machine learning techniques. The role includes coding, collaborating with teams, and developing software prototypes, as well as building custom algorithms and insights from data.
The Senior Data Engineer will lead data engineering projects, including building ETL tools, data pipelines, and enhancing data quality and governance for a real estate data platform. This role involves collaboration with cross-functional teams and shaping team culture.
The Director of Business Intelligence, Reporting & Analytics will lead the team in achieving strategic objectives by integrating data insights, automation, and visualization tools to support decision-making in operations. This role involves collaborating with various leaders, managing a team, and enhancing a data-driven culture within the organization.
The Senior Data Operations Engineer will develop and maintain data infrastructure at Klaviyo, focusing on analytics platform security, pipelines, and compliance. This role involves building data models, collaborating with various teams, working with large databases, and creating cloud-native solutions.
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