Top Data Engineer Jobs
The Strategy and Business Analytics Experienced Consultant will engage with Transaction Services advisors and client stakeholders to conduct technology M&A due diligence, assess existing data systems, formulate strategic investment summaries, and establish connections between business and data strategies. Responsibilities include creating recommendations, thought leadership, and driving business growth by identifying opportunities with clients.
As the Head of AI, you will define and lead the long-term vision for AI at Remitly, overseeing teams that build machine learning applications. You'll partner with various leaders to scale AI opportunities and drive adoption of best practices, thereby enhancing customer experience and business profitability.
The Principal Data Analytics Engineer will design and maintain data models using dbt, collaborate with analysts, implement best practices in data modeling and documentation, mentor junior team members, and work with stakeholders to support data-driven decisions. They will also manage the data warehouse and BI platforms.
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As an Advanced Data Science Consultant/AI Research Scientist at ZS, you will design and develop AI research projects, conduct literature reviews, define technical projects, lead research activities, contribute to thought leadership, and present findings at conferences.
Seeking talented data engineers to build foundational datasets and pipelines for robust financial reporting. Partner with Finance, Monetization Engineering, Business Intelligence, and Data Science teams to support critical financial reporting and analysis needs. Design, build, and monitor scalable pipelines.
The Staff Machine Learning Engineer will design, build and productionize machine learning models to tackle business challenges, collaborate with product managers and engineers, maintain high code quality, and research emerging technologies. They will also share knowledge through presentations and discussions.
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As a Senior Data Engineer, you will design and maintain data infrastructure for Square's Marketing team, focusing on web event data. Responsibilities include building data pipelines, translating requirements for ETL processes, analyzing data sources, monitoring pipeline performance, and improving data quality and efficiency. Your work will significantly influence business decisions and reporting accuracy.
The Big Data Engineer will create and optimize data engineering pipelines, support data and cloud transformation initiatives, and work with stakeholders to deliver enhanced functionalities. The role involves utilizing big data processing frameworks and maintaining automated ETL processes while collaborating with software engineers and data scientists.
The Associate Machine Learning Manager will develop and manage machine learning and AI strategies, lead a multi-disciplinary team to implement machine learning models, and collaborate with peers to deliver value to customers through scalable and robust solutions.
As a Senior AI Engineer, you will design, implement, and maintain large-scale AI/ML pipelines, focusing on training and tuning deep learning models and evaluating large language models while working on data collection and feature engineering.
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