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
Top Skills
What We Do
Being a quantitative finance firm that uses Machine Learning (ML) to create multi-asset portfolios and seek profit from the market, Trexquant has continuously improved its investment and research platform since starting operations, leveraging new and emerging technologies. Trexquant uses rigorous quantitative methods to create multi-asset portfolios in global markets. To do this, Trexquant develops trading signals using its vast and continuously growing collection of data variables used as inputs for more complex trading models called Strategies. The result is an ever-growing and adapting engine built from thousands of intricate models and tens of thousands of signals, tailor-made with the goal to outperform the market during any condition. Capital is managed across 5,500+ cash equity positions across the United States, Europe, Japan, Australia, and Canada.
