Permanent Data Engineer Jobs in New York
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Technology Solutions Engineer
Technology Solutions EngineerNew York, NY | Hybrid (4 Days Onsite)We're partnering with a leading multi-strategy investment firm seeking a Technology Solutions Engineer to join a highly visible team supporting front-office users and business-critical technology platforms.This role sits at the intersection of production engineering, platform enginee...
AI Engineer
Applied AI EngineerNYC, hybrid We're partnered with a leading quantitative investment and technology firm that is building out a new generation of AI-powered tooling and looking to hire an AI Engineer to help drive the initiative.This is a highly hands-on role focused on identifying real business problems and building AI-driven solutions that impro...
Product Manager End User Compute
Senior Product Manager, End User ComputingWe're partnered with a leading global financial services organization seeking a Senior Product Manager to own the strategy, roadmap, and evolution of its End User Computing platform.This role sits at the intersection of workplace technology, employee experience, infrastructure, and security. You'll be resp...
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Mortgage Analytics Developer
Mortgage Analytics Developer - Fixed Income and MortgagesOur client is a highly respected New York-based alternative asset manager focused on structured credit, mortgages, and asset-backed investments. The team combines deep fundamental credit expertise with sophisticated quantitative analytics and technology, providing direct exposure to portfoli...
Data Analyst
Data Analyst | Quantitative Trading FirmOverviewJoin a leading quantitative trading firm where data, technology, and research drive business performance.Work with large-scale financial, market, vendor, and alternative datasets that support critical business and research functions.Partner with engineers, data professionals, and business stakeholders...
Senior Data Engineer
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...