Teil von Phaidon InternationalProperty 1 Bull Dark

Sie befinden sich auf der Webseite für Deutschland [DE]. , um die Länderseite anzuzeigen, die mit Ihren Browsereinstellungen verknüpft ist

Permanent Financial Technology Jobs in New York

4 Ergebnisse werden angezeigt

Sortieren nach:

Senior Data Engineer
New York$200,000 - $400,000 USD a year

ResponsibilitiesBuild and optimize scalable data pipelines and data products.Develop reliable datasets for analytics, reporting, and AI applications.Establish data engineering standards, frameworks, and best practices.Improve data quality, monitoring, testing, and platform observability.Integrate and reconcile complex datasets from multiple sources...

Senior Data Engineer
New York$200,000 - $400,000 USD a year

ResponsibilitiesBuild and optimize scalable data pipelines and data products.Develop reliable datasets for analytics, reporting, and AI applications.Establish data engineering standards, frameworks, and best practices.Improve data quality, monitoring, testing, and platform observability.Integrate and reconcile complex datasets from multiple sources...

VP, Data & Enterprise Architecture
New York$275,000 USD a year

What You'll DoThe Vice President, Data & Enterprise Architecture will provide strategic leadership across enterprise technology, data, architecture, and modernization initiatives. This individual will establish a long-term technology architecture that supports business growth, operational efficiency, scalability, and innovation.The role will partne...

Bringen Sie Ihre Karriere auf das nächste Level

Machen Sie den ersten Schritt zu Ihrer nächsten Chance – reichen Sie Ihren Lebenslauf ein und starten Sie noch heute.

Registrieren Sie sich bei uns
Selby Jennings Start Your Career In Recruitment
Senior Data Engineer
New York$200,000 - $400,000 USD a year

ResponsibilitiesBuild and optimize scalable data pipelines and data products.Develop reliable datasets for analytics, reporting, and AI applications.Establish data engineering standards, frameworks, and best practices.Improve data quality, monitoring, testing, and platform observability.Integrate and reconcile complex datasets from multiple sources...