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Top Hybrid Data Engineer Jobs in New York City, NY
As a Senior Data Engineer, you will design and optimize data pipelines, ensuring data consistency and reliability. Collaborating with product and engineering teams, you'll enhance data solutions for product services, drive best practices, and participate in on-call rotations to maintain system reliability.
As a Software Engineer in the Content Understanding teams, you will build large-scale batched and real-time data pipelines using various tools and frameworks. Collaborating with other engineers and data scientists, you will ensure high-quality data solutions and work on machine learning projects to enhance user experiences.
The Data Modeler will design, implement, and maintain data models, create reports and dashboards using analytics tools, collaborate with stakeholders, and ensure documentation and best practices are upheld. This role requires extensive experience in data modeling and analytics, particularly with Amazon Redshift, QuickSight, and Power BI, within the financial sector.
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As a Senior Data Engineer, you'll lead technical design and execution of major engineering projects, write high-quality production code, and mentor junior team members while enhancing data infrastructure and deploying machine learning models.
The Vice President of Data and Innovation will drive data product development and AI initiatives, optimizing data solutions and establishing a data-driven culture across the organization. Responsibilities include leading a global data team, implementing data governance practices, and utilizing insights to guide product innovation and strategic growth.
As a Junior Consultant at Ekimetrics, you will work with clients on data analytics and model construction, transforming data insights into strategic recommendations. Responsibilities include data gathering, analysis, and presenting findings directly to C-suite executives, all while gaining mentorship from a team of consultants.
The Senior Data Observability Engineer will lead the observability initiatives at Cherre, enhancing data observability capabilities and ensuring data health and performance for clients. Responsibilities include developing observability frameworks, mentoring teams, creating metrics and dashboards, investigating data incidents, assessing client data needs, and adopting new technologies.
The Senior Data Engineer will design, implement, and optimize data analytics infrastructure, develop scalable data pipelines, create data models and reports, ensure data quality and governance, and mentor junior staff, while staying up-to-date with evolving data technologies.
Top hybrid Companies in New York City, NY Hiring Data + Analytics Roles
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