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Hedge Fund Data Engineer Jobs (NOW HIRING)

Jain Global

Data Engineer - New York

New York, NY · On-site

$125K - $150K/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 ...

Jain Global

Data Engineer - New York

New York, NY · On-site

$125K - $150K/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

Data Platform Engineering Lead

Manhattan, NY · On-site

$150 - $200/hr

Multi-manager hedge fund managing over $3 billion in AUM is seeking a highly experienced technical Data Platform Engineering Lead to own and scale the firm's data platform. This is a hands‑on ...

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SS&C

Manager, Hedge Fund Accounting

Skillman, NJ · Hybrid

$78K/yr

Our teams design, implement, and operate solutions that help clients manage data, automate ... S. GAAP and hedge fund accounting principles * Experience preparing and reviewing financial ...

SS&C

Manager, Hedge Fund Accounting

Union, NJ · Hybrid

$78K/yr

Our teams design, implement, and operate solutions that help clients manage data, automate ... S. GAAP and hedge fund accounting principles * Experience preparing and reviewing financial ...

SS&C

Manager, Hedge Fund Accounting

New York, NY · Hybrid

$78K/yr

Our teams design, implement, and operate solutions that help clients manage data, automate ... S. GAAP and hedge fund accounting principles * Experience preparing and reviewing financial ...

SS&C

Manager, Hedge Fund Accounting

New York, NY · Hybrid

Manager, Hedge Fund Accounting Locations: New York City (hybrid) About the Role Lead a high ... Our teams design, implement, and operate solutions that help clients manage data, automate ...

SS&C

Manager, Hedge Fund Accounting

Boston, MA · Hybrid

$78K/yr

Our teams design, implement, and operate solutions that help clients manage data, automate ... S. GAAP and hedge fund accounting principles * Experience preparing and reviewing financial ...

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 ...

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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 Aug 20, 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?

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.

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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 August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Data Engineer - New York

Jain Global

New York, NY • On-site

$125K - $150K/yr

Full-time

Re-posted 1 hour 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.

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.

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