Data Engineer (New York)

Our client, a real estate and asset-based lender, is looking to hire a full-time Analytics Engineer to work onsite out of their Midtown Manhattan location.

This is a dynamic team focusing on optimizing the firm's asset management operations and business intelligence (BI) capabilities. This role combines technical data engineering expertise with analytical science skills to drive data-informed decision-making across their portfolio.

This is a broad / generalist focused role with a heavy focus on Data Engineering first and foremost (although there may be some data science oriented projects as well).

Responsibilities :

• Build automated reporting systems and interactive dashboards for portfolio monitoring, including custom analyses for executive leadership, asset management, and origination
• Implement machine learning (AI) models for asset valuation, market analysis, and investment opportunity screening
• Build and optimize Snowflake databases and queries to support real-time business intelligence needs
• Design and implement quality assurance processes for data extraction, transformation, and analysis workflows
• Design and maintain scalable data pipelines in Nexla and Python to integrate property management systems, financial databases, and market data feeds into Snowflake DW
• Create predictive models to identify asset performance trends, risks, and opportunities across the real estate portfolio, with a focus on occupancy rates and NOI metrics
• Design and optimize ETL processes to ensure data quality / consistency, with robust monitoring and alert systems

Qualifications :

Nice To Haves (Not Required) :

ID : 44163