• 5+ years of professional experience building backend systems in Python.
• Strong experience with async Python (asyncio, async I/O patterns).
• Excellent knowledge of PostgreSQL, raw SQL, and database performance tuning.
• Experience designing and operating production distributed systems.
• Strong understanding of failure modes, backpressure, retries, and idempotency.
• Proven ability to own systems end-to-end in production.
Design, implement, and maintain asynchronous Python services for market-data ingestion in a fintech setting. Build clean, well-typed, maintainable Python code using modern best practices. Design and operate microservice-based architectures using Docker. Optimize concurrency, throughput, and resource usage in asynchronous systems. Own services end-to-end: development, debugging, monitoring, and long-term improvements.
- Data Pipelines & Reliability: Build and maintain robust API-based ingestion pipelines. Handle real-world failure modes including partial data, retries, idempotency, and upstream instability. Monitor ingestion success, latency, and data quality metrics. Conduct root-cause analyses on data incidents and implement durable fixes. Ensure deterministic behavior under load.
Database & Data Integrity: Work directly with PostgreSQL and TimescaleDB using raw SQL where appropriate. Design and maintain normalized schemas for time-series and reference data. Ensure data correctness, consistency, and traceability across ingestion layers. Maintain and debug production databases. Design scalable data structures to support growing data volume and query load.
Niuro connects ambitious projects with elite tech teams to deliver high-impact solutions for leading U.S. companies. The selected candidate will join a fintech-focused environment where data integrity, reliability, and scalability are paramount. You will contribute to building autonomous, high-performance backend systems that ingest, normalize, validate, and store market data at scale. This role emphasizes robust data pipelines, production-grade services, and seamless API-based integrations, enabling real-time and historical market data workflows for analytics and trading applications. The project culture values technical excellence, continuous improvement, and a collaborative global team committed to delivering measurable value while maintaining a strong administrative support backbone to allow engineers to focus on impactful work.
• Experience with financial or market data.
• Familiarity with time-series modeling and high-volume data ingestion.
• Ability to reason about how data quality impacts downstream trading or analytics systems.
• Experience supporting analytics or front-end consumers of market data.