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Executive Hedge Fund Data Engineer Jobs (NOW HIRING)

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Executive/Personal Assistant CEO and COO- Hedge Fund

New York, NY · On-site

$140K - $180K/yr

4 DAYS IN Boutique Hedge Fund This role is ideal for someone who enjoys operating at a high level ... You will work closely with accomplished executives in an intimate, entrepreneurial environment ...

The Ceres Group

Business Analyst Hedge Fund

Boston, MA · On-site

Business Analyst Hedge Fund Business Analyst Boston, MA As a member of the Information Technology ... Conduct business and systems requirements analysis at code and data level, such as data mapping and ...

The Cypress Group

Data Engineer

New York, NY

$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

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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Executive Hedge Fund Data Engineer information

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$44.5K

$129.7K

$177.5K

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

As of Jun 16, 2026, the average yearly pay for executive hedge fund data engineer in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.

What is an Executive Hedge Fund Data Engineer?

An Executive Hedge Fund Data Engineer is a senior-level professional responsible for designing, building, and managing data systems that support the complex analytics and trading strategies of a hedge fund. They oversee the integration of large-scale financial data sources, ensure data integrity, and develop pipelines for real-time and historical data analysis. In addition to technical expertise in programming and big data tools, they often collaborate closely with portfolio managers, quantitative analysts, and IT teams to align data infrastructure with the fund's strategic objectives.

How does an Executive Hedge Fund Data Engineer typically collaborate with portfolio managers and quantitative analysts?

As an Executive Hedge Fund Data Engineer, you’ll work closely with portfolio managers and quantitative analysts to ensure that high-quality, timely data is available for making investment decisions. This collaboration often involves designing and maintaining robust data pipelines, troubleshooting data issues, and implementing new data sources based on the team’s evolving strategies. Regular communication is key, as you’ll need to understand the analytical requirements and translate them into scalable technical solutions. This role provides an opportunity to directly impact trading strategies by enabling data-driven insights and operational efficiency.

What is the difference between Executive Hedge Fund Data Engineer vs Hedge Fund Data Analyst?

AspectExecutive Hedge Fund Data EngineerHedge Fund Data Analyst
CredentialsBachelor's/Master's in Computer Science, Data Science, or related fields; experience with data engineering toolsBachelor's in Finance, Economics, or related fields; strong analytical skills
Work EnvironmentDesigning data pipelines, managing large datasets, collaborating with tech teamsAnalyzing data, generating reports, supporting investment decisions
Industry UsageUsed in hedge funds for building data infrastructure and systemsUsed for interpreting data to inform trading strategies

The Executive Hedge Fund Data Engineer focuses on building and maintaining data infrastructure within hedge funds, requiring technical expertise. In contrast, the Hedge Fund Data Analyst primarily interprets data to support investment decisions. Both roles are essential but differ in technical depth and focus.

What are the key skills and qualifications needed to thrive as an Executive Hedge Fund Data Engineer, and why are they important?

To thrive as an Executive Hedge Fund Data Engineer, you need advanced knowledge of data engineering, financial markets, and quantitative analysis, typically supported by a degree in computer science, engineering, or a related field. Experience with programming languages such as Python or Scala, cloud platforms, big data frameworks (e.g., Hadoop, Spark), and proficiency with databases are essential, and certifications like AWS Certified Data Analytics can be advantageous. Strong problem-solving skills, attention to detail, and the ability to communicate complex technical concepts to non-technical stakeholders make someone stand out in this position. These skills are crucial for building robust data pipelines, enabling accurate analytics, and supporting strategic investment decisions in a fast-paced hedge fund environment.
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Executive Hedge Fund Data Engineer jobs near you
Infographic showing various Executive Hedge Fund Data Engineer job openings in the United States as of June 2026, with employment types broken down into 78% Full Time, 7% Part Time, and 15% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

Global Head of Hedge Fund Partnerships & Strategy

VAST Data

Manhattan, NY • On-site

Full-time

Posted 13 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