Senior Data Engineer

Landing Point; New York (NY); On-site; USD 105,000 - 200,000; Full time

Job summary

A leading alternative investment manager is seeking a Data Engineer to enhance their research team focused on managed futures. The role encompasses onboarding data, establishing data pipelines, and ensuring data integrity while requiring strong Python skills and financial data management experience.

Qualifications

• Experience in managing data in a financial setting.
• Understanding trade-offs in different architectures.
• Fluency in Python and knowledge of data tools is advantageous.

Responsibilities

• Onboard trial data and load it for researcher access.
• Build and maintain high throughput data ingestion pipelines.
• Design and maintain a data quality framework.

Skills

Fluency in Python

Managing data in a financial setting

Understanding trade-offs in architectures

Tools

DuckDB

Polars

Apache Arrow

PostgreSQL

OneTick

Job description

3 days ago Be among the first 25 applicants

Company Overview:

An alternative investment manager with $11 billion in assets under management is seeking a Data Engineer to join their research team. This role supports the expansion of their research capabilities in managed futures.

Company Overview:

An alternative investment manager with $11 billion in assets under management is seeking a Data Engineer to join their research team. This role supports the expansion of their research capabilities in managed futures.

Job Responsibilities:

• Onboard trial data and load it for researcher access
• Work with the research platform team to integrate best practices into a larger ecosystem
• Understand reference data relationships to prepare for trading new markets
• Write and maintain queries in OneTick and other high-frequency data systems
• Build and maintain high throughput data ingestion pipelines for alternative data sources
• Design and maintain a data quality framework
• Collaborate with DBAs to ensure smooth operations between tech and research teams
  
  

Qualifications:

• Experience in managing data in a financial setting
• Understanding of trade-offs in different architectures and choices
• Fluency in Python
• Knowledge of R, DuckDB, Polars, Apache Arrow, PostgreSQL, and OneTick is beneficial
  
  

The post Senior Data Engineer appeared first on Landing Point.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology

• Industries

  Staffing and Recruiting

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