Data Engineer

Henderson Scott US; New York (NY); Hybrid; USD 80,000 - 100,000; Full time

Job summary

A leading investment management platform is seeking an Associate to join their Investment Technology team in New York. The role involves optimizing cloud-based data warehouses, building data pipelines, and developing tools to enhance operational efficiency. Candidates should possess a degree in Computer Science or a related field along with strong skills in SQL and Python. This position offers a chance to work closely with business stakeholders on impactful data initiatives within a hybrid work environment.

Qualifications

• Bachelor's or Master's degree in a relevant field.
• Strong experience with SQL and Python.
• Exposure to modern data warehouse technologies.

Responsibilities

• Support and optimize cloud-based data warehouse environments.
• Build and maintain data pipelines.
• Develop internal tools and automation workflows.

Skills

SQL

Python

Data manipulation libraries

BI tools

APIs

Front-end/UI development

Analytical mindset

Problem-solving skills

Communication skills

Education

Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, or related field

Tools

Snowflake

Power BI

Tableau

Job description

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