Top Hybrid Data Engineer Jobs in NYC
The CDE Data Engineer will be responsible for implementing and maintaining systems that ingest, process, and store vast amounts of data from internal and external partner systems. They will work with technologies to build meaningful models, alerts, reports, and visualizations from large quantities of data.
Build data pipelines for reliable and high-quality analytics data products, collaborate with team on design and testing, analyze technical debt and optimize design, work with Platform/Digital and DevOps team on platform requirements and security.
Seeking a Senior Analytics Data Engineer to build scalable data pipelines, deliver strategic business projects, collaborate with partners, and lead in developing data systems. Must have a strong background in ETL, Big Data processing, and software development.
The Staff Analytics Data Architect will lead the development of an Advanced Analytics Platform for democratizing access to data and building analytical products across Pfizer. Responsibilities include optimizing data architecture, ensuring data quality and security best practices, resolving performance bottlenecks, and evaluating data management tools and technologies.
Collaborate with teams to develop, deploy, and maintain data processing pipelines using cloud technologies. Analyze large data sets, identify gaps, and provide data insights to guide business decisions. Architect cloud-based data infrastructure solutions to meet stakeholder needs.
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Join our dynamic team as an Agility Senior Associate at JPMorgan Chase within the Corporate & Investment Bank, Markets Technology team. Guide and support solution delivery teams in adopting agile practices and fostering innovation. Facilitate group discussions and collaborative activities to build continuous improvement and high performance. Manage complex projects, foster innovation, and enable successful delivery of high-quality solutions.
The MDGO Data Governance Technical Data Steward will support enterprise data management tools and integration projects, collaborate with various teams, and provide technical expertise in data governance practices.
Optimizing data architecture within R&D, identifying opportunities for automation, collaborating with stakeholders, researching and recommending automation tools, developing prototypes, integrating automation solutions, providing guidance and support, monitoring performance, staying updated on emerging trends, and identifying opportunities for process improvement and automation.
Snap Inc is looking for a Machine Learning Engineer with 5+ years of experience to create models that drive value for users, advertisers, and the company. Responsibilities include evaluating technical tradeoffs, performing code reviews, and building robust products. The ideal candidate should have a strong understanding of machine learning approaches and algorithms, prioritize duties, and collaborate effectively.
As a Staff Machine Learning Engineer at Personio, you will be at the forefront of shaping their Machine Learning landscape. Your responsibilities will include providing technical leadership, collaborating with cross-functional teams, writing high-quality code, analyzing complex technical problems, and driving innovation and improvements. The role requires a Bachelor's degree in Computer Science or a related field, 10+ years of experience in software engineering with 5+ years of experience in Machine Learning, strong proficiency in Pytorch, Tensorflow, and NLP, and excellent problem-solving and communication skills.
Responsible for planning and designing new software and web applications, analyzing and testing new applications, overseeing documentation, training non-technical personnel, tracking performance metrics, and sharing expertise in a fast-paced environment at Comcast.
Director of Data Technology overseeing data architecture related application development, leading teams in designing and developing enterprise-scale APIs, managing distributed teams, providing technical leadership, ensuring service reliability, and developing quality standards and procedures.
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