Data Engineer

Job Title : Associate, Investment Technology & Data Infrastructure Location: New York, NY (Hybrid) Department: Technology / Business Systems Company Overview A leading investment management platform focused on providing flexible capital solutions to middle-market firms is seeking to expand its technology team. The firm partners closely with private equity sponsors and portfolio companies, delivering financing solutions across multiple asset classes. With a strong track record and significant capital under management, the organization operates across several major U.S. markets and emphasizes innovation, collaboration, and disciplined execution. Role Overview This role sits within the Investment Technology team and focuses on building and enhancing core data and application infrastructure that supports front-office and business operations. You'll work across data engineering, reporting, and internal tool development-helping modernize systems and improve how investment and operational teams access and leverage data. The position offers strong exposure to business stakeholders and the opportunity to work on high-impact initiatives across data pipelines, analytics, and workflow automation. Key Responsibilities Support and optimize cloud-based data warehouse environments to ensure scalable and efficient data access Build and maintain data pipelines that integrate multiple internal and external systems Develop internal tools, automation workflows, and lightweight applications to improve operational efficiency Create and maintain dashboards and reporting solutions used by senior stakeholders for decision-making Partner cross-functionally with investment, operations, finance, and analytics teams on data-driven initiatives Help define and implement best practices across data management, reporting, and system architecture Contribute to ongoing system integrations and enhancements across the broader technology stack Qualifications Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, or related field Strong experience with SQL and Python (including data manipulation libraries) Exposure to modern data warehouse technologies and BI tools (e.g., Snowflake, Power BI, Tableau, or similar) Experience working with APIs and integrating data across systems Nice to have: front-end or UI development exposure (React, Angular, or similar frameworks) Strong analytical and problem-solving mindset with attention to detail 2-5 years of experience in a data, technology, or analytics-focused role within financial services or similar environments Interest or exposure to private markets, credit, or alternative investments is a plus Strong communication skills and ability to work across technical and business teams #J-18808-Ljbffr Henderson Scott US