Top Data Engineer Jobs in New York City, NY
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 Senior Data Engineer, you'll design, build, and maintain scalable data pipelines in cloud infrastructure, collaborating with teams for data analytics and machine learning projects. Your role includes developing ETL pipelines, optimizing SQL performance, and working with both relational and NoSQL databases.
The AVP of Investment Operations will collaborate with business stakeholders and ESG leads to address data needs and reporting requirements. Responsibilities include designing ESG data models, ensuring data governance, analyzing large datasets, and working with legal and compliance teams to implement ESG disclosure requirements.
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The Senior Data Engineer will design, implement, and maintain data architecture and pipelines, focusing on scalable data workflows and advanced analytics integration. Responsibilities include optimizing data workflows for performance, ensuring data quality, implementing data security measures, mentoring junior staff, and collaborating with cross-functional teams to meet business needs.
The Data Analytics and AI Solutions Lead will design scalable AI and data analytics solutions, discover new business opportunities, manage stakeholder relationships, and drive continuous improvement in processes and methodologies. This role requires collaboration with senior executives and a strong understanding of financial services to effectively implement innovative data-driven solutions.
The Head of Data Science and AI is responsible for driving innovation in Ai and data science at Socure, focusing on developing machine learning models, leading cross-functional collaboration, overseeing advanced data strategies, and mentoring technical teams to enhance AI-driven solutions.
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.
The Senior Data Engineer will design, implement, and optimize scalable data analytics infrastructure. Key responsibilities include developing data pipelines, maintaining data quality, supporting analytics through modeling, creating dashboards, and collaborating with various teams to enhance data-driven decision-making processes.
As the Data & Analytics Lead, you will develop and implement data strategies, manage data governance, oversee data quality, and ensure the integrity and proper management of data systems. You will work collaboratively with internal teams and external providers to facilitate seamless data integration and drive business insights.
Top Companies in New York City, NY Hiring Data + Analytics Roles
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