Top Remote Data Engineer Jobs in NYC, NY
The Data Engineer will build data pipelines, support ETL/ELT processes, integrate data from various sources, automate workflows, and collaborate with teams to enhance data delivery and infrastructure scalability, all while leveraging generative AI technologies.
As a Sr. Data Engineer at NBCUniversal, you will design and construct scalable data pipelines and analytics applications. You'll collaborate with diverse teams to gather data requirements, employ data modeling techniques, and optimize data architecture. Your expertise in cloud-based technologies and machine learning will guide your contributions to generative AI initiatives and support strategic decisions across the company.
As a Senior Machine Learning Engineer on the On-Device ML team at Grammarly, you will design and build ML models, propose new features, integrate models into user interfaces, and monitor deployments through A/B testing while collaborating with core product teams.
The Chief Data Architect will lead data strategy and architecture, ensuring alignment with business goals. Responsibilities include designing data architectures, optimizing data systems, establishing governance policies, managing data architecture projects, and mentoring team members.
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Lead and motivate a team of six data engineers, managing project timelines and deliverables while collaborating with product management to define technical projects. Oversee the design and development of the data platform, mitigate risks, and promote a culture of growth and innovation.
As a Cloud Data & Analytics Manager, you will assist clients in defining their data needs and migrating them to modern cloud environments. You will develop skills, coach team members, analyze proposals, and manage stakeholder views to drive business results through data analytics and strategy alignment.
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The Data Engineering Manager will lead the development of core data pipelines, mentor junior engineers, collaborate across disciplines, and ensure user privacy. Responsibilities include task planning, recruitment, and maintaining technical accuracy in the team's work.
The Vice President of Data Intelligence Engineering will drive the execution of quarterly deliverables and long-term strategies while developing a world-class data platform. Responsibilities include ensuring data privacy and security, mentoring engineering teams, and collaborating with cross-functional teams to align strategies with company objectives.
As a Senior Data Engineer, you will develop and maintain scalable data platforms, architect high-volume data pipelines, improve system performance, ensure data privacy compliance, and collaborate with teams for operational efficiencies. You are expected to debug complex issues and share knowledge through documentation and mentoring.
The Senior Machine Learning Engineer will build scalable machine learning systems, enhance entity resolution algorithms, and develop ML infrastructure. Responsibilities include designing reliable ML solutions and collaborating with cross-functional teams to optimize performance and testability.
As a Data Engineering and Analytics Manager at Spark Advisors, you will lead the data function, overseeing the development of a data warehouse, implementing data products, and mentoring your team. You'll work closely with various teams to ensure efficient data processing and provide insights through analytics infrastructures and dashboards.
Develop and maintain core data models in dbt, ensuring consistency across business metrics. Collaborate with finance and data analysts, provide documentation for data access, drive data quality initiatives, and regularly audit data models for integrity.
Top Companies in NYC, NY Hiring Remote Data Engineers
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