About

Location: Remote | Employment: Full-time | Language: English We’re looking for our first Data Engineer — someone ready to build and own the foundation of our data infrastructure from the ground up. You’ll take full ownership of critical datasets, from ingestion and system design to reliability, accessibility, and performance. You’ll architect, build, and operate the data backbone that powers our algorithmic and research teams — transforming messy external feeds into clean, high-performance datasets that drive insights and decisions. What You’ll Do Build from scratch: Design and implement cloud-native batch and streaming ELT pipelines for diverse data sources.Create robust systems: Architect storage and lakehouse solutions, orchestration, metadata/cataloging, CI/CD, IaC, and observability — all kept simple, reliable, and cost-efficient.Ensure data integrity: Develop data quality checks, anomaly detection, and bias-free historical data handling (including corporate actions and entitlements).Deliver usable data: Provide clean, well-documented datasets through APIs, query layers, and shared libraries — optimized for both research and production.Collaborate deeply: Work side-by-side with quants, data scientists, and software engineers to scope, prototype, and productionize datasets quickly.Operate with discipline: Manage incident response, maintain clear runbooks, and uphold strong data security practices (IAM, least privilege, audit, and secrets management). What You’ll Bring 1+ years building and maintaining production-grade data pipelines or platforms (or equivalent experience).Strong Python