<p>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.</p> <p>Responsibilities</p> <ul> <li>Architect and maintain core components of the Data Platform with a strong focus on reliability and scalability. </li><li>Build and maintain tools to manage data feeds, monitor validity, and ensure data timeliness. </li><li>Design and implement event-based data orchestration pipelines. </li><li>Evaluate and integrate data quality and observability tools via POCs and MVPs. </li><li>Stand up a data catalog system to improve data discoverability and lineage tracking. </li><li>Collaborate closely with infrastructure teams to support operational excellence and platform uptime. </li><li>Write and maintain data quality checks to validate real-time and batch data. </li><li>Validate incoming real-time data using custom Python-based validators. </li><li>Ensure low-level data correctness and integrity, especially in high-precision environments. </li><li>Build robust and extensible systems that will be used by data operators to ensure the health of our data ecosystem. </li><li>Own the foundational systems used by analysts and engineers alike to trust and explore our datasets. </li></ul>