Top Senior Level Data Engineer Jobs in NYC, NY
The role involves managing vendor relationships and data center strategies. Responsibilities include negotiating contracts, planning infrastructure growth, collaborating with various teams, and conducting vendor performance reviews. The ideal candidate has extensive experience in the data center industry and excels in multitasking and project management in a high-growth environment.
The Senior Machine Learning Engineer will lead data projects to launch new machine learning products and enhance predictive features in Iterable's platform. Responsibilities include collaborating with cross-functional teams, developing machine learning pipelines, and evaluating algorithm performance using diverse datasets.
As a Staff Research Lead in Epidemiology and Patient Data Products, you will lead research projects focused on drug discovery, utilizing real-world data studies. Your role involves translating research questions into study designs, managing project timelines, collaborating with team members, and developing patient-centric insights using advanced statistical models. You will also work with diverse data types and ensure agile project management.
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As an Applied ML Scientist at PDT, you will develop and enhance statistical methods to improve trading strategies, collaborating with senior researchers and technologists. You will take ownership of research projects, applying software engineering and machine learning skills in a challenging and innovative environment.
As a Senior Data Engineer at Aircall, you will design and maintain the data infrastructure, implement data management best practices, lead data pipeline development, mentor junior team members, and collaborate with various teams to optimize data processing and storage practices, ensuring high data quality and regulatory compliance.
As a Senior Analytics Engineer at CLEAR, you'll design and implement MarTech products, build scalable data systems, develop data pipelines, and work closely with product teams to solve complex problems, all while driving technical innovation and continuous improvement.
As a Senior Data Engineer, you will design and maintain high-quality data infrastructure, develop DBT models, and create scalable data pipelines. Collaborating closely with the Analytics team, you will optimize data operations and manage a secure data warehouse to enhance Flex’s financial products.
The Senior Software Engineer will enhance the Machine Learning Platform at The New York Times by developing and deploying infrastructure for large scale ML workloads. Responsibilities include building a platform for real-time content recommendations, improving CI/CD and integration testing, and working closely with data scientists to support the full ML workflow.
As a Technical Product Manager at Stack Overflow, you will lead initiatives within the Data Team, focusing on leveraging extensive data resources to enhance developer experiences. Responsibilities include collaborating with cross-functional teams, improving search performance through machine learning, and contributing to data product roadmaps.
The VP of Data Engineering at Axios will lead data engineering, data science, and analytics teams, manage engineering best practices, define the data platform strategy, and foster an inclusive team culture. They will ensure alignment with executive goals, maintain data quality, and support cross-functional teams in achieving company initiatives.
Top Companies in NYC, NY Hiring Senior Data Engineers
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