Senior Data Engineer

Landing Point; New York (NY); On-site; USD 105,000 - 210,000; Full time

Job summary

A leading alternative investment firm is seeking a Data Engineer to enhance research operations through effective data management and pipeline construction. This mid-senior level position focuses on integrating data quality and allowing improved access to financial datasets. Ideal candidates should have a solid background in data engineering and proficiency in Python, with additional knowledge of data systems being a plus.

Qualifications

• Experience in managing data in a financial setting.
• Understanding of different architectures.
• Knowledge of high-frequency data systems.

Responsibilities

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

Skills

Fluency in Python

Knowledge of R

Understanding of trade-offs in architectures

Tools

PostgreSQL

OneTick

DuckDB

Polars

Apache Arrow

Job description

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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