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Hedge Fund Database Engineer Jobs (NOW HIRING)

Radley James Limited

Java Engineer

Cary, NC · On-site

$52.75 - $72.25/hr

Java Developer - Front Office Team (Hedge Fund) We are seeking a highly skilled Java Developer to ... Experience with database technologies such as SQL and NoSQL databases * Experience with messaging ...

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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Hedge Fund Database Engineer information

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$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.

Global Head of Hedge Fund Partnerships & Strategy

Manhattan, NY • On-site

VAST Data
Software Development • 201 - 500 employees
Learn more about VAST Dataexternal

Full-time

Re-posted 7 days ago

Job description


VAST Data is seeking a Global Head of Hedge Fund Strategy & Partnerships to build and lead our hedge fund practice worldwide. This is a unique opportunity for a highly connected industry leader who understands the hedge fund ecosystem and has deep relationships across quantitative funds, multi-strategy platforms, systematic trading firms, discretionary funds, and the broader financial technology landscape.


This role is not a direct sales position. Instead, you will serve as the strategic bridge between the hedge fund industry and VAST's product, engineering, field, and executive leadership teams.


You will be responsible for creating VAST's hedge fund strategy from the ground up—developing executive relationships, identifying market opportunities, influencing product direction, establishing industry credibility, enabling field teams, and building the foundation for a future team and practice.


The Role



Build the Hedge Fund Practice

  • Define and execute VAST's global hedge fund strategy
  • Establish VAST as a trusted infrastructure and AI platform partner within the hedge fund community
  • Develop a long-term roadmap for expanding VAST's presence across the world's leading hedge funds
  • Build the foundation for a future team focused on financial services and hedge fund engagement


Develop Executive Relationships

  • Build and maintain senior relationships with CIOs, CTOs, Heads of Infrastructure, Quantitative Research leaders, Data Platform leaders, and Engineering executives across the hedge fund ecosystem
  • Create introductions and strategic engagement opportunities between hedge fund leaders and VAST executives
  • Serve as a trusted advisor to both customers and internal stakeholders


Drive Market Intelligence & Strategy

  • Identify emerging trends, workload requirements, benchmarking needs, and technology priorities across the hedge fund industry
  • Translate customer insights into actionable recommendations for Product Management, Engineering, and Executive Leadership
  • Help define the capabilities, integrations, and performance benchmarks required to accelerate adoption within hedge funds


Enable Internal Teams

  • Educate VAST sales, solutions engineering, product, and executive teams on hedge fund market dynamics
  • Develop industry-specific messaging, plays, competitive positioning, and engagement strategies
  • Partner with field teams to accelerate opportunities and expand existing hedge fund relationships


Create Industry Presence

  • Build and execute a hedge fund-focused events and engagement strategy
  • Represent VAST at industry conferences, executive forums, customer roundtables, and private networking events
  • Develop strategic relationships with influential industry participants, partners, consultants, and advisors

Requirements:


  • 10+ years of experience working with or selling into hedge funds, quantitative trading firms, asset managers, or financial services organizations
  • Deep network of executive relationships across the hedge fund ecosystem
  • Proven ability to build strategic programs, partnerships, or industry practices from the ground up
  • Strong understanding of data infrastructure, AI infrastructure, HPC, quantitative research environments, or large-scale analytics platforms
  • Experience influencing product strategy and working cross-functionally with engineering and product organizations
  • Exceptional executive communication and relationship-building skills
  • Ability to operate independently while influencing senior stakeholders across a rapidly growing organization

Preferred Experience

  • Former hedge fund technology, infrastructure, engineering, data platform, or quantitative research leader
  • Experience in strategic alliances, industry partnerships, business development, or market development roles
  • Prior experience with AI infrastructure, high-performance computing, large-scale storage, data platforms, or cloud infrastructure
  • Experience building and scaling industry-specific practices or centers of excellence