Data Engineer – NYC Investment Firm – Front Office Data Platform

Mondrian Alpha; New York (NY); On-site; USD 110,000 - 150,000; Full time

Job summary

Unknown Hedge Fund is expanding its data engineering team to support front office investment and trading functions. The role requires building and maintaining data pipelines that deliver pricing and analytics to portfolio managers, traders, and quants.

You will collaborate directly with front office and technology stakeholders to design robust, scalable data solutions. The candidate should have 2-5 years of data engineering experience, strong Python and SQL skills, and a deep understanding of

Qualifications

• Bachelor's degree in Computer Science, Engineering, Mathematics, or a related technical field or equivalent professional experience.
• 2-5 years of professional data engineering experience building production data pipelines.
• Deep knowledge of market data, pricing, reference data, and front office data needs.

Responsibilities

• Design, build, and maintain data pipelines that ingest, process, and deliver market data, reference data, pricing, and analytics to front office consumers.
• Work with portfolio managers, traders, quants, and technology teams to understand data requirements and deliver reliable solutions.
• Ensure accuracy, timeliness, and quality of critical datasets supporting investment and trading workflows.
• Incorporate data from market data vendors and internal systems into production-grade data assets.

Skills

Python

SQL

Data modeling

Distributed data processing

Front office workflows

Education

Bachelor's degree in Computer Science/Engineering/Math

Job description

A leading global hedge fund is expanding its data engineering team supporting front office investment and trading functions. The team is responsible for building and maintaining the data pipelines and platforms that deliver pricing and analytics to portfolio managers, traders, and quantitative teams across the business. The firm is currently seeking a Data Engineer with financial (public or private markets) data expertise and a strong understanding of front office workflows to design and deliver the high-quality, timely data that underpins investment decision-making. This individual will work directly with front office and technology stakeholders to build robust, performant data solutions.

Responsibilities:

• Design, build, and maintain data pipelines that ingest, process, and deliver market data, reference data, pricing, and analytics to front office consumers.
• Work directly with portfolio managers, traders, quants, and technology teams to understand data requirements and deliver reliable solutions.
• Ensure the accuracy, timeliness, and quality of critical datasets that support investment and trading workflows.
• Integrate data from market data vendors and internal systems into well-modeled, production-grade data assets.
• Optimize data pipelines for performance, reliability, and scalability.

Requirements:

• Bachelor's degree in Computer Science, Engineering, Mathematics, or a related technical field, or equivalent professional experience.
• 2-5 years of professional data engineering experience building production data pipelines.
• Deep knowledge of market data, including experience working with market data vendors, reference data, pricing, and the data requirements of front office teams.
• Strong understanding of front office investment and trading workflows.
• Strong programming skills, ideally in Python and SQL, with solid data modeling and distributed data processing experience.
• Strong communication skills and the ability to work directly with front office stakeholders.
• Candidates without meaningful experience working with market data and front office workflows will not be considered.