Overview
On Site
Full Time
Skills
Innovation
Management
Extract
Transform
Load
Workflow
Trading
Data Architecture
Unstructured Data
Reporting
Scalability
Market Analysis
Data Quality
Decision-making
Computer Science
Financial Services
SQL
Python
Data Engineering
Data Modeling
Warehouse
Cloud Computing
Microsoft Azure
Amazon Web Services
Snow Flake Schema
Finance
Bonds
Derivatives
Real-time
Analytics
Communication
Job Details
My client is global credit hedge fund with a strong track record of success across public and private credit markets. Their strategies span investment grade, high yield, leveraged loans, and structured products, with billions in AUM and a reputation for innovation. Technology and data are at the heart of how they invest and manage risk.
They are seeking a senior Data Engineer to join their growing Technology & Analytics team in New York. This is a greenfield opportunity to design and build the next generation of their data platform, working closely with senior portfolio managers, traders, risk managers, and operations leaders.
As a Data Engineer, you will be central to building scalable, high performance data infrastructure and pipelines that drive investment decisions and reporting across the business. You will have real ownership, visibility with the C-suite, and the opportunity to make a tangible impact on a global scale.
Key Responsibilities
Requirements
They are seeking a senior Data Engineer to join their growing Technology & Analytics team in New York. This is a greenfield opportunity to design and build the next generation of their data platform, working closely with senior portfolio managers, traders, risk managers, and operations leaders.
As a Data Engineer, you will be central to building scalable, high performance data infrastructure and pipelines that drive investment decisions and reporting across the business. You will have real ownership, visibility with the C-suite, and the opportunity to make a tangible impact on a global scale.
Key Responsibilities
-
- Build and own data pipelines and ETL workflows to support trading, risk, operations, and finance teams.
- Design and develop a modern data architecture for structured and unstructured data, enabling real-time analytics and reporting.
- Partner directly with senior business stakeholders to understand requirements and deliver practical, high-value solutions.
- Enhance and optimize the firm's existing data ecosystem, ensuring scalability, resilience, and accuracy.
- Integrate third-party and market data sources (loans, bonds, CLOs, derivatives) into the central data platform.
- Develop monitoring and data quality tools to ensure integrity and reliability of mission-critical data.
- Continuously innovate, evaluating new technologies to drive automation, analytics, and decision-making.
Requirements
-
- Strong academic background in Computer Science, Engineering, or a related field.
- 3-7 years of experience as a Data Engineer, preferably within financial services, fintech, or hedge funds.
- Expertise in SQL, Python, and modern data engineering frameworks.
- Hands-on experience with data modeling, warehousing, and cloud technologies (Azure, AWS, Snowflake, or similar).
- Familiarity with financial products (credit, loans, bonds, CLOs, derivatives) is a strong plus.
- Experience building real-time data pipelines and analytics solutions.
- Excellent communication skills, with the ability to translate complex technical solutions into business impact.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.