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Hedge Fund Data Engineer Jobs (NOW HIRING)

The Cypress Group

Data Engineer

New York, NY · On-site

$200K - $250K/yr

Our client is a hedge fund in NYC looking for a talented Data Engineer to join their team. Qualified candidates will have 5-10+ years of professional experience. Specific hands-on experience with ...

SS&C

Director, Hedge Fund Accounting

New York, NY · Hybrid

Director, Hedge Fund Accounting Locations: New York, NY (Hybrid), Union, NJ (Hybrid), Skillman, NJ ... Our teams design, implement, and operate solutions that help clients manage data, automate ...

SS&C

Director, Hedge Fund Accounting

Skillman, NJ · Hybrid

Director, Hedge Fund Accounting Locations: New York, NY (Hybrid), Union, NJ (Hybrid), Skillman, NJ ... Our teams design, implement, and operate solutions that help clients manage data, automate ...

SS&C

Director, Hedge Fund Accounting

Union, NJ · Hybrid

Director, Hedge Fund Accounting Locations: New York, NY (Hybrid), Union, NJ (Hybrid), Skillman, NJ ... Our teams design, implement, and operate solutions that help clients manage data, automate ...

SS&C

Director, Hedge Fund Accounting

Stamford, CT · Hybrid

Director, Hedge Fund Accounting Locations: New York, NY (Hybrid), Union, NJ (Hybrid), Skillman, NJ ... Our teams design, implement, and operate solutions that help clients manage data, automate ...

SS&C

Manager, Hedge Fund Accounting

Bellevue, WA · Hybrid

Manager, Hedge Fund Accounting Location : San Francisco, CA (Hybrid)| Walnut Creek, CA (Hybrid ... Our teams design, implement, and operate solutions that help clients manage data, automate ...

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Hedge Fund Data Engineer information

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$46K

$165K

$243.5K

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

As of Jun 9, 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 job?

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.

More about Hedge Fund Data Engineer jobs
What cities are hiring for Hedge Fund Data Engineer jobs? Cities with the most Hedge Fund Data Engineer job openings:
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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 May 2026, with employment types broken down into 99% Full Time, and 1% Contract. Highlights an 91% Physical, 4% Hybrid, and 5% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Global Head of Hedge Fund Partnerships & Strategy

VAST Data

Manhattan, NY • On-site

Full-time

Posted 5 days ago

Job description

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

Apply