Jain Global
Data Engineer - New York
New York, New York · Mid
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About the role
- 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.
- 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.
- Automate monitoring and alerting so issues are addressed immediately with minimal business impact.
Responsibilities
- 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.
- 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.
- Demonstrated experience in test automation to maintain high standards and support rapid change with confidence, preferably including DBT.
- 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.
Nice to have
- 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.
- 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.
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.
Benefits
- Jain Global offers a total compensation package which includes a base salary, discretionary bonus, and comprehensive benefits.
Company info
- Data Engineer
- We are an Equal Opportunity Employer
- 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
This listing is sourced directly from Jain Global's careers page and normalized into a canonical job model.