Top Hybrid Data Engineer Jobs in New York City, NY
The Sr. Data Engineer will design and build scalable data pipelines across various sources to support data-driven decisions and generative AI initiatives. Responsibilities include collaborating with cross-functional teams, implementing data engineering principles, and optimizing performance and security of data applications.
As Director of AIDA R&D AI & Data Solutions Engineering at Pfizer, you will lead the data solutions engineering team, drive the development of innovative R&D data solutions, and oversee complex projects. You'll manage resources, ensure data security and compliance, and establish best practices in collaboration with stakeholders to optimize data storage and processing.
As a Senior Data Engineer at Hinge, you'll design and optimize data pipelines, support foundational product services, and collaborate with teams to drive data-driven decisions. You'll enhance the Data Engineering stack, advocate best practices, and maintain analytics data for insights and strategies while ensuring smooth operations through on-call participation.
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The Data Manager in Risk Engineering & AI focuses on developing data-intensive solutions for decision making within the risk management function. Responsibilities include data acquisition, pipeline development, transformation, modeling, API development, collaboration with AI/ML teams, and ensuring data quality and governance.
As a Senior Data Engineer at Grubhub, you will design and maintain data pipelines, collaborate with Ads teams, optimize data storage using columnar formats, leverage technologies like Scala and Spark, and work with AWS services to ensure data integrity and efficiency while mentoring junior engineers.
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The Data Engineer will design and build scalable data systems and contribute to the architecture of Canoe's Alts Data Platform. Responsibilities include developing data models and pipelines, collaborating with AI/ML engineers, and ensuring operational excellence.
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.
The Database Engineer will assist in the migration of on-prem databases to AWS and develop Infrastructure as Code (IaC) using Terraform and Gitlab. Responsibilities include performance tuning of Oracle databases, database environment monitoring, and collaborating on physical database design. The role involves independent work as well as teamwork within the financial services industry.
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 Data Engineer, you will design and manage data architecture, optimize data pipelines, and ensure data quality while collaborating with product and data teams to meet internal and external data needs.
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.
Top hybrid Companies in New York City, NY Hiring Data + Analytics Roles
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