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Hedge Fund Database Engineer Jobs (NOW HIRING)

Analyst - Investments

Atlanta, GA · On-site

$74K - $100K/yr

Exposure to financial databases or reporting systems * A genuine interest in hedge fund investing What We Offer * A competitive compensation package commensurate with experience, reflecting our ...

Senior Security Engineer

Manhattan, NY · On-site

$126K - $173K/yr

Senior Security Engineer - New York (Hedge Fund) Our hedge fund client is seeking an experienced Senior Security Engineer to join their New York office. In this role, you will lead the firm ...

Systems Engineer

Miami, FL · On-site

$50K - $200K/yr

... multi-manager hedge fund platform dedicated to disrupting the traditional landscape of the ... Strong understanding of data architecture, database management, and system design. * Experience ...

We're seeking a future team member for the role of Vice President, Database Engineer to join our Fund Accounting and Admin team. This role is located in Pittsburgh, PA In this role, you'll make an ...

Software Engineer

New York, NY · On-site +1

$100K - $150K/yr

... hedge fund industry. Our client offers a competitive package with a base salary, bonus, and full ... Extensive expertise in backend development, with a strong emphasis on database design, optimization ...

... hedge fund industry. Our client offers a competitive package with a base salary, bonus, and full ... Extensive expertise in backend development, with a strong emphasis on database design, optimization ...

Showing results 41-60

Hedge Fund Database Engineer information

See salary details

$60.5K

$122.1K

$167.5K

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

As of Sep 10, 2026, the average yearly pay for hedge fund database engineer in the United States is $122,112.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,500.00 and $140,000.00 per year, depending on experience, location, and employer.

What does a hedge fund database engineer do?

A Hedge Fund Database Engineer is responsible for designing, building, and maintaining robust databases that store and process large volumes of financial data used by hedge funds. They ensure data integrity, optimize database performance, and implement security measures to protect sensitive information. Their work enables analysts, traders, and portfolio managers to access accurate and timely data for investment decisions. Additionally, they often collaborate with software developers and data scientists to integrate databases with trading systems and analytical tools.

What are the key skills and qualifications needed to thrive as a hedge fund database engineer?

To thrive as a Hedge Fund Database Engineer, you need strong expertise in database design, SQL programming, data modeling, and a bachelor's degree in computer science or a related field. Experience with relational and NoSQL databases (such as MS SQL Server, Oracle, MongoDB), ETL tools, and cloud platforms like AWS or Azure is typically required, along with relevant certifications. Analytical thinking, problem-solving, and effective communication are standout soft skills for collaborating with portfolio managers and translating business needs into technical solutions. These skills and qualities are crucial for ensuring robust, high-performance data systems that support accurate, timely investment decisions in a fast-paced environment.

What are some common challenges faced by hedge fund database engineers when maintaining large financial datasets?

Hedge Fund Database Engineers often encounter challenges related to ensuring data integrity, security, and real-time accessibility given the high volume and sensitivity of financial data. Managing rapid data ingestion from multiple sources, optimizing database performance for complex queries, and complying with strict regulatory requirements are all part of the daily responsibilities. Additionally, collaboration with quantitative analysts, portfolio managers, and IT teams is crucial to tailor database solutions that support dynamic trading strategies and risk management processes.

What is the difference between Hedge Fund Database Engineer vs Quantitative Analyst?

AspectHedge Fund Database EngineerQuantitative Analyst
Required CredentialsBachelor's in Computer Science, Data Management, or related field; SQL, database management skillsBachelor's or higher in Mathematics, Statistics, or Finance; programming skills in Python, R
Work EnvironmentFocus on database architecture, data integration, and management within hedge fund firmsDevelops models and algorithms to inform trading strategies, often working with large datasets
Employer & Industry UsageCommonly employed in hedge funds, asset management firms, financial institutionsPrimarily in hedge funds, investment banks, and financial services

While both roles work within the financial industry, a Hedge Fund Database Engineer specializes in managing and optimizing data systems, whereas a Quantitative Analyst focuses on developing models for trading decisions. Understanding these differences helps candidates target the right roles based on their skills and career goals.

What are popular job titles related to Hedge Fund Database Engineer jobs?

For Hedge Fund Database Engineer jobs, the most frequently searched job titles are:

Infographic showing various Hedge Fund Database Engineer job openings in the United States as of July 2026, with employment types broken down into 88% Full Time, 7% Part Time, 1% Temporary, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $122,112 per year, or $58.7 per hour.

Senior Software Engineer C++ Gateway Developer HFT Hedge Fund

Boston, MA • On-site

Domeyard LP
Finance and Insurance • 11 - 50 employees

Full-time

Re-posted yesterday


Job description

Company Description
Domeyard, LP is a quantitative hedge fund startup based in Boston, Massachusetts. We focus on developing low latency technologies to achieve extremely consistent, long-term capital growth enabling us to save millions of dollars for market investors each year. Our trading strategies are derived from the latest advances in high-performance computing and data analysis, making us one of the fastest market participants in the world. Domeyard operates around the clock, trading a diverse range of asset classes, including equities, futures, fixed income instruments, energy products and commodities. Innovation is our main differentiator: on any given day, we process more order messages than Google searches and Twitter messages combined. Our continuous pursuit of improvement to our technology enables us to uncover opportunities that are grossly inaccessible to mainstream fund managers and their investment vehicles. For its notable role in the industry, Domeyard is also the protagonist of Harvard Business School's first case study about high frequency trading.
Job Description
**Bonus - Apply directly (takes 3 min): http://grnh.se/yw1d74
Setting new thresholds for modern computing
Domeyard is seeking a C++ Gateway Developer to work with us on the cutting edge of low latency trading technologies.
You must meet at least one of these minimum requirements:
  • 5+ years of working experience in C++ in an electronic market making or HFT environment.
  • Demonstrated success in architecting low latency applications in C++.

Qualifications
In addition, here are some of the skills that we're looking for:
  • Experience developing low latency interfaces for market access against order entry protocols (e.g. FIX, OUCH).
  • Experience with NUMA-aware, multithreaded design, userspace networking, compiler and cache optimizations, and lock-free programming.
  • A strong background in data structures, algorithms, and object-oriented programming in C++ '11/C++ '14.

Additional Information
***IMPORTANT: Please apply via the link below (takes <5 minutes)***
http://grnh.se/yw1d74