Top Data Engineer Jobs
As a Data Scientist for Machine Learning Operations at Enova, you will develop, enhance, and deploy software to build and deploy critical models. The role involves conducting ad hoc analyses, interpreting data, and communicating findings to cross-functional teams while maintaining tools for efficient model lifecycle management.
The Data Analytics Engineer will design and implement data systems and services for the Electronic Trading businesses, build reliable data pipelines for analytics and regulatory reporting, and mentor team members while driving technical standards and best practices.
The Senior Data Engineer at adMarketplace will develop and maintain ad-tech related data systems, cloud migration projects, and build data pipelines. They will work on data streaming, processing, and aggregation solutions, while collaborating with various teams to translate business requirements into technical solutions, ensuring low latency and large-scale systems functionality.
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As a Data Engineer, you will design and maintain data pipelines, optimize databases, and manage ETL processes. Collaborating with data scientists and stakeholders, you will ensure accurate and efficient data systems for operational readiness at the National Military Command Center.
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 Master Data Coordinator is responsible for managing product and customer information within the Oracle system, ensuring accuracy in pricing and data updates, performing analysis, managing inventory levels, and assisting with reports and data entry tasks.
As a Machine Learning Engineer at Clay, you will drive the integration of ML features into the product, prototype and productionize models, collaborate with engineering teams, and develop data pipelines to support ML systems. You will need a solid understanding of NLP and deploying models in user-facing environments.
As a Senior Data Engineer, you will own the data pipeline, designing and implementing data infrastructure and ETL processes. You will collaborate with cross-functional teams to optimize data flow and quality, develop reporting solutions, and enhance decision-making through data-driven insights.
The Senior Analytics Engineer will build and maintain data warehouses and models, design transformation pipelines, and ensure data quality while partnering with various teams to support their analytics needs. This role requires expertise in ETL tools and cloud services to facilitate meaningful data analytics and reporting.
Lead the Data Security organization, shaping strategies, implementing security measures, and managing a high-performing team. Engage with stakeholders, oversee compliance, and stay updated on emerging security threats while mentoring staff.
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