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Data Platform Engineer (USA)

Trexquant is a systematic fund at the forefront of quantitative finance
Stamford, CT, USA
Data
Mid-Level Software Engineer
In-Person
3+ years of experience
Finance

Job Description

Trexquant Investment, a growing systematic fund at the forefront of quantitative finance, is seeking a Data Platform Engineer to join their team in Stamford, CT. This role is crucial for modernizing their foundational data infrastructure and ensuring the quality, reliability, and discoverability of mission-critical data. The ideal candidate will have 3+ years of experience with Python and distributed data systems, bringing expertise in data engineering and platform development. You'll be responsible for architecting and maintaining core data platform components, building tools for data feed management, and implementing event-based data orchestration pipelines. The position offers competitive compensation, comprehensive healthcare benefits, and the opportunity to work in a collaborative environment solving complex financial market challenges. The role requires strong technical skills, systems-level thinking, and preferably experience in quantitative or financial settings. This is an excellent opportunity for a mid-level engineer looking to make a significant impact in the fintech space while working with cutting-edge technology and data systems.

Last updated 7 days ago

Responsibilities For Data Platform Engineer (USA)

  • Architect and maintain core components of the Data Platform with a strong focus on reliability and scalability
  • Build and maintain tools to manage data feeds, monitor validity, and ensure data timeliness
  • Design and implement event-based data orchestration pipelines
  • Evaluate and integrate data quality and observability tools
  • Stand up a data catalog system to improve data discoverability and lineage tracking
  • Collaborate with infrastructure teams to support operational excellence
  • Write and maintain data quality checks
  • Validate incoming real-time data using custom Python-based validators
  • Ensure low-level data correctness and integrity
  • Build robust and extensible systems for data operators
  • Own the foundational systems used by analysts and engineers

Requirements For Data Platform Engineer (USA)

Python
Kafka
  • Bachelor's degree in Computer Science or related field; advanced degree preferred
  • 3+ years of hands-on experience with Python in data engineering or backend development
  • Experience with distributed data systems (e.g., Spark, Kafka, Airflow)
  • Proven experience running POCs, evaluating data quality and data platform tools
  • Demonstrated interest and experience in low-level data reliability, correctness, and observability
  • Familiarity with systems-level thinking and principles of data operations in production
  • Background in high-performance computing or real-time data processing is a plus
  • Prior experience in a quantitative or financial setting is highly desirable

Benefits For Data Platform Engineer (USA)

Medical Insurance
Dental Insurance
Vision Insurance
Commuter Benefits
  • Competitive salary, plus bonus based on individual and company performance
  • Collaborative, casual, and friendly work environment
  • PPO Health, dental, and vision insurance premiums fully covered for you and dependents
  • Pre-Tax Commuter Benefits

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