Trexquant is a growing systematic fund at the forefront of quantitative finance, with a core team of highly accomplished researchers and engineers. To keep pace with our expanding global trading operations, we are seeking a highly motivated and technically rigorous Data Platform Engineer to help modernize our foundational data infrastructure. As a Data Platform Engineer, you will be at the center of building the systems that ensure the quality, reliability, and discoverability of mission-critical data. Your work will directly impact the data operators and downstream consumers by creating robust tools, monitoring, and workflows that ensure accuracy, validity, and timeliness of data across the firm.
Responsibilities
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 via POCs and MVPs
Stand up a data catalog system to improve data discoverability and lineage tracking
Collaborate closely with infrastructure teams to support operational excellence and platform uptime
Write and maintain data quality checks to validate real-time and batch data
Validate incoming real-time data using custom Python-based validators
Ensure low-level data correctness and integrity, especially in high-precision environments
Build robust and extensible systems that will be used by data operators to ensure the health of our data ecosystem
Own the foundational systems used by analysts and engineers alike to trust and explore our datasets
Requirements
A Bachelor's degree in Computer Science or a related field; advanced degree preferred
3+ years of hands-on experience with Python in a data engineering or backend development context
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 the 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
Competitive salary, plus bonus based on individual and company performance
Collaborative, casual, and friendly work environment while solving the hardest problems in the financial markets
PPO Health, dental, and vision insurance premiums fully covered for you and your dependents
Pre-Tax Commuter Benefits - making your commute smoother
Trexquant is an Equal Opportunity Employer
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Engineering
Industries
Technology, Information and Internet
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