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Hourly Hedge Fund Data Engineer Jobs (NOW HIRING)

Data Engineer - New York

New York, NY ยท On-site

$200K - $250K/yr

Data Engineer Location : New York Jain Global is an innovative multi-strategy investment firm ... pace of hedge fund operations. Source, analyze, clean, and enrich relevant data; iterate with ...

Data Engineer - New York

New York, NY ยท On-site

$200K - $250K/yr

Data Engineer Location : New York Jain Global is an innovative multi-strategy investment firm ... pace of hedge fund operations. Source, analyze, clean, and enrich relevant data; iterate with ...

Hedge Fund Controller

Manhattan, NY ยท On-site

$100 - $125/hr

Prepare monthly reporting packages for investors, combining financial data, supporting analysis ... fund accounting or controllership roles within the hedge fund industry. * Prior experience ...

Hedge Fund Analyst

Manhattan, NY ยท On-site

$150K - $200K/yr

Present analyses and updates to senior team members, adjusting views as data changes. Portfolio ... Bachelor's degree in Finance, Economics, Math, Engineering, Computer Science, or related discipline.

New

Manager, Hedge Fund Accounting Locations: New York City (hybrid), Union, NJ (hybrid), or Boston, MA ... Our teams design, implement, and operate solutions that help clients manage data, automate ...

Hedge Fund Operations Analyst

Manhattan, NY ยท Hybrid

$100K - $150K/yr

Hedge Fund Operations Analyst Career Launch AI Talent Network Location: New York, NY (Hybrid ... Technology, Data, and Operations How Career Launch AI Helps Candidates Career Launch AI is a career ...

New

Manager, Hedge Fund Accounting Locations: New York City (hybrid), Union, NJ (hybrid), or Boston, MA ... Our teams design, implement, and operate solutions that help clients manage data, automate ...

Manager, Hedge Fund Accounting Locations: New York City (hybrid), Union, NJ (hybrid), or Boston, MA ... Our teams design, implement, and operate solutions that help clients manage data, automate ...

Senior Software Engineer - HFT HEDGE FUND

Boston, MA ยท On-site

$133K - $175K/yr

Our trading strategies are derived from the latest advances in high-performance computing and data ... Our firm and culture Domeyard is a hedge fund focused on high frequency trading. Our team consists ...

Senior Software Engineer - HFT HEDGE FUND

Boston, MA ยท On-site

$133K - $175K/yr

Our trading strategies are derived from the latest advances in high-performance computing and data ... Our firm and culture Domeyard is a hedge fund focused on high frequency trading. Our team consists ...

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

Hedge Fund Risk Manager

Chicago, IL ยท On-site

$80K - $133K/yr

## Hedge Fund of Funds Risk ManagerApplylocations: Chicago, ILtime type: Full timeposted on: Posted ... Ability to interpret limited transparency data* Excellent communication and stakeholder management*

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

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Hourly Hedge Fund Data Engineer information

See salary details

$44.5K

$129.7K

$177.5K

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

As of Sep 10, 2026, the average yearly pay for hourly 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 the difference between Hourly Hedge Fund Data Engineer vs Hedge Fund Data Analyst?

AspectHourly Hedge Fund Data EngineerHedge Fund Data Analyst
Primary RoleBuilds and maintains data infrastructure and pipelines for hedge fundsAnalyzes hedge fund data to generate insights and reports
Skills & CertificationsProgramming, database management, data engineering certificationsData analysis, financial modeling, Excel, statistical skills
Work EnvironmentTechnical teams, data infrastructure projects, often in a tech-focused settingFinancial analysis teams, reporting, and client presentations
Industry UsageUsed across hedge funds requiring robust data systemsUsed for performance analysis and investment decision support

In summary, the Hourly Hedge Fund Data Engineer focuses on developing and maintaining the technical data infrastructure, while the Hedge Fund Data Analyst concentrates on interpreting data to inform investment decisions. Both roles are essential but serve different functions within hedge fund operations.

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What are the most commonly searched types of Hedge Fund Data Engineer jobs?

The most popular types of Hedge Fund Data Engineer jobs are:

What states have the most Hourly Hedge Fund Data Engineer jobs?

States with the most job openings for Hourly Hedge Fund Data Engineer jobs include:

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

Infographic showing various Hourly 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 $129,716 per year, or $62.4 per hour.

Data Engineer - New York

New York, NY โ€ข On-site

$200K - $250K/yr

Full-time

Re-posted 21 days ago


Job description


Data Engineer
Location: New York
Jain Global is an innovative multi-strategy investment firm founded in July 2024 by Bobby Jain with over 400 employees operating from offices in New York, Houston, London, Singapore, and Hong Kong, we are looking to add to our growing teams.
Responsibilities
  • Implement customer-centric data products: Collaborate with customers to understand their specific needs, then translate them into robust, scalable data solutions suited to the pace of hedge fund operations. Source, analyze, clean, and enrich relevant data; iterate with customers to increase its value; and work with the Data Platform team to maximize platform effects and firm-wide utility.
  • Implement automated Data Quality checks: Build automated data quality checks across the development and data lifecycle to ensure data accuracy, reliability, quality, and robustness with high confidence. Automate monitoring and alerting so issues are addressed immediately with minimal business impact.
  • Integrate with vendor & platform systems: Manage data feed integration with external vendors, focusing on fast onboarding and rigorous data validation, as well as integration with internal third-party trade, position-keeping, risk systems, and the firm's central Data Platform.
  • Contribute to platform development: Identify recurring customer needs and propose and implement configurable frameworks. Ensure sufficient process telemetry to detect bottlenecks and issues and support high availability, robustness, and performance.
  • Role-model continuous improvement: Maintain high standards of technical and analytical excellence, ownership, and customer care. Mentor junior analysts, support hiring, and streamline workflows to improve data quality, efficiency, and decision-making.

Qualifications & Experience
  • BSc/MSc/PhD in Computer Science, Physics, Engineering or similar and 4+ years financial industry experience in Front Office / Quant / organizations or on a PM desk, preferably with some time spent in a hedge fund.
  • Advanced data analysis skills in Python, with familiarity with Pandas, Polars, and/or Snowpark data frames. Experience with high-throughput, low-latency programming in C#, F#, C++, or Java is a plus.
  • Advanced SQL skills and experience with modern data storage and querying technologies such as Snowflake, Redshift, and BigQuery, as well as file formats such as Parquet and Iceberg.
  • Hands-on experience with cloud platforms such as AWS, Google Cloud, or Azure, and related data storage and processing services such as AWS RDS (Postgres), S3, and MSK (Kafka).
  • Familiarity with Linux environments, Git, and modern DevOps practices.
  • Demonstrated experience in test automation to maintain high standards and support rapid change with confidence, preferably including DBT.
  • Familiarity with monitoring production systems using modern observability and alerting solutions such as Grafana/Prometheus, Datadog, or ELK is essential.
  • Hands-on experience with data pipeline orchestration tools such as Airflow, and data download mechanisms such as SFTP and vendor APIs.
  • Proficiency in integrating with third-party data providers and live-streaming vendor APIs commonly used in hedge funds would be ideal.
  • Familiarity with live market data, and reference data, ideally across a broad range of asset classes, hedge fund data workflows (sourcing, processing, analysis), real-time data needs, and financial compliance considerations (e.g. licensing, access control). Clear understanding of how data adds value to a hedge fund's business, and how that value can be increased
  • Effective communication skills with Front Office stakeholders and Tech colleagues, curiosity, a scientific and collaborative mindset, ability to produce in an agile environment, and drive to complete projects independently.

Compensation
Jain Global offers a total compensation package which includes a base salary, discretionary bonus, and comprehensive benefits. The estimated base salary range for this position is $200,000 to $250,000, which is specific to New York and may change in the future. When finalizing an offer, we take into consideration an individual's experience level and the qualifications they bring to the role to formulate a competitive total compensation package.
We are an Equal Opportunity Employer
As an employer, we believe every individual brings with them unique diversity of thought and perspectives to meaningfully enrich perspectives of Jain Global teams to drive competitive performance. We believe an inclusive environment can yield exceptional contributions.