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Hedge Fund Data Engineer Jobs (NOW HIRING)

SS&C

Manager, Hedge Fund Accounting

San Francisco, CA · Hybrid

Our teams design, implement, andoperatesolutions that help clients manage data, automate processes ... Hedge Fund, Investment Advisor or Audit firm * Strong knowledge of US GAAP and corporate actions

Wellington Management

Investment Analyst

Boston, MA · On-site

Given the complexity and nuance of some of our hedge fund data, this role requires a level of intellectual curiosity and ability to problem solve creatively Qualifications Success in the role ...

AllianceBernstein

FoHF Operations Analyst

Nashville, TN · On-site

Investment Data Maintenance * Performance Reporting and Board Reporting Support * Operational Due Diligence Oversight What You'll Do: Fund Accounting * Engage with external Hedge Fund managers, fund ...

Umbrex

Hedge Fund Quant Analyst - Umbrex

Manhattan, NY · On-site

$100 - $125/hr

They are seeking a Hedge Fund Quant Analyst with deep expertise in equity trading, advanced modeling techniques, and programming to help design and implement this system. Responsibilities: * Design ...

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How much do hedge fund data engineer jobs pay per year?

As of Sep 10, 2026, the average yearly pay for hedge fund data engineer in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

What is a hedge fund data engineer?

A Hedge Fund Data Engineer is responsible for designing, building, and maintaining data pipelines that support quantitative research, trading, and risk management. They work with large financial datasets, optimize data storage and retrieval, and ensure data quality and integrity. This role requires expertise in programming languages like Python or SQL, cloud technologies, and big data frameworks. Data Engineers in hedge funds collaborate with portfolio managers, quantitative researchers, and IT teams to deliver timely and accurate data for investment decisions. Their work is crucial for enabling data-driven strategies and maintaining a competitive edge in the financial markets.

What are the typical daily responsibilities of a hedge fund data engineer?

As a Hedge Fund Data Engineer, your daily responsibilities often include designing, building, and maintaining data pipelines that ingest, process, and deliver market and alternative data critical for trading strategies. You’ll spend time collaborating with quantitative analysts, data scientists, and portfolio managers to understand their data requirements and optimize data workflows. Regular tasks also involve troubleshooting data issues, improving data quality, and ensuring systems meet performance and compliance standards. Working in an often fast-paced environment, you will need to balance immediate project demands with long-term system improvements to support the fund’s evolving needs.

What are the key skills and qualifications needed to thrive in the hedge fund data engineer position, and why are they important?

To thrive as a Hedge Fund Data Engineer, you need strong software engineering skills, deep knowledge of data architecture, and experience with quantitative or financial data, typically supported by a degree in computer science, engineering, or a related field. Expertise in Python, SQL, cloud platforms (like AWS or Azure), and ETL tools, along with knowledge of specialized financial data sources and industry certifications, are highly valued. Attention to detail, problem-solving ability, and effective communication are key soft skills for collaborating with portfolio managers, analysts, and IT teams. These capabilities are crucial for building robust data pipelines, ensuring data integrity, and enabling rapid, data-driven decision-making in high-stakes financial environments.

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Hedge Fund Data Engineer jobs near you
Infographic showing various Hedge Fund Data Engineer job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 83% Full Time, 12% Part Time, and 3% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Senior Software Engineer, Foundational Data Engineering - NYC / Houston, TX- Systematic Quant Fund

Manhattan, NY • On-site

Oxford Knight
See more jobs at Oxford Knightexternal

$135K - $178K/yr

Full-time

Re-posted 4 days ago

Job description

Location: New York, NY / Houston, TX
Summary
Not your standard hedge fund, the scientists, technologists and academics at this innovative company look beyond traditional finance to develop creative solutions and sophisticated trading models.
They're looking to hire mid-level software engineers with expertise in Data Engineering to join the foundational data team. You'll be expected to have a strong background in large language models (LLM) technologies, cloud computing, and financial markets. You will work on world-class trading systems, developing and maintaining scalable and efficient data engineering solutions designed to meet the needs of your data scientist, financial analyst and engineering colleagues.
This role would be perfect for someone with a deep understanding of financial instruments & simulations, as well as knowledge of the data engineering technology landscape to help drive continued success.
Requirements
  • 7-10 years of software development experience, preferably with a data engineering focus
  • Proven background in LLM technologies and their application
  • Strong programming skills in languages such as Python, Java, or C++
  • Solid experience with cloud platforms (AWS, Azure, GCP), and related, e.g. BigQuery
  • Good knowledge of database technologies (SQL, NoSQL) and data warehousing
  • Minimum BS/BA in Computer Science, Engineering, Finance (or related field)
  • Highly desirable: prior financial industry/hedge fund experience

Benefits
  • Market-leading base salaries + bonus
  • Outstanding benefits package
  • Truly collaborative culture and growth opportunities throughout the firm
  • Flexible work environment
  • Tuition reimbursement, conference and training sponsorship

Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful.
Contact
If you feel you are a strong match for this role, or would like more information, please get in touch:
Eoughin Perry
eoughin.perry@oxfordknight.com
linkedin.com/in/eoughin-perry-874b19195

Apply