Data Engineer - New York

Jain Global; New York (NY); On-site; USD 120,000 - 170,000; Full time

Job summary

Jain Global in New York seeks a Data Engineer to design and deliver customer-centric data products for hedge fund operations. You will source, clean, enrich data, and collaborate with Data Platform teams to maximize platform value and firm-wide utility.

Ideal candidates have 4+ years in finance, strong Python SQL skills, and experience with cloud data stores and modern ETL tools. A hands-on, collaborative mindset and ability to work with Front Office stakeholders are essential.

Qualifications

• BSc/MSc/PhD in Computer Science, Physics, Engineering or similar.
• 4+ years financial industry experience in Front Office/Quant/PM desks.
• Strong Python with data libraries; experience with Snowpark is a plus.
• Advanced SQL and experience with Snowflake/Redshift/BigQuery.

Responsibilities

• Implement customer-centric data products and translate needs into scalable data solutions.
• Build automated data quality checks and monitoring with minimal business impact.
• Manage data feed integration with external vendors and internal systems.
• Contribute to platform development with configurable frameworks and telemetry.
• Mentor junior analysts and drive data quality improvements.

Skills

Python

Pandas

Polars

Snowpark

SQL

Snowflake

Redshift

BigQuery

Airflow

AWS

DevOps

DBT

Grafana/Prometheus

Datadog

ELK

Linux

Git

Vendor APIs

Education

BSc/MSc/PhD in Computer Science or related

Tools

Snowflake

Redshift

BigQuery

AWS

Google Cloud

Azure

Airflow

DBT

Job description

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.