Data Engineer

Atto Trading, a dynamic quantitative trading firm founded in 2010 and leading in global high-frequency strategies, is looking for a Data Engineer to join our team.
We are expanding an international, diverse team with experts in trading, statistics, engineering, and technology. Our disciplined approach, combined with rapid market feedback, allows us to quickly turn ideas into profit. Our environment of learning and collaboration allows us to solve some of the world’s hardest problems, together. As a small firm, we remain nimble and hold ourselves to the highest standards of integrity, ingenuity, and effort.

At Atto Trading, data is the foundation of every trading decision we make. As a Senior Data Engineer, you will own and evolve the on-premise Data Lake that powers our quantitative research and production trading - a system handling 1PB+ of market data today and growing by 100TB each year.

The Role

You will take end-to-end ownership of our data infrastructure: from architecting high-performance storage on our VAST platform to designing the pipelines that deliver clean, reliable market data to traders and researchers. This is a high-ownership role in a small, fast-moving team where your work directly shapes our research and trading capabilities.

What You'll Do

• Design and manage scalable on-premise storage systems optimized for high-throughput analytics and research workloads
• Build and operate end-to-end ETL/ELT pipelines (Prefect/Airflow) for market data across US Equities, Futures, SIP feeds, and other sources
• Implement data quality validation frameworks and SLA/SLO monitoring to detect anomalies and ensure data completeness
• Develop metadata and catalog layers for efficient data discovery and self-service access across the firm
• Design event-driven architectures for near real-time market data processing and delivery
• Conduct structured intake sessions with quant researchers to map their data access patterns, query workloads, latency needs, and iteration cycles

What We're Looking For

• 5+ years of experience in data engineering or data platform roles, with proven large-scale infrastructure ownership (100TB+)
• Strong understanding of market data structures: trades, quotes, order books, corporate actions
• Production-grade Python and SQL; experience building APIs (FastAPI or equivalent)
• Experience with DAG orchestration tools (Prefect, Airflow or similar)
• Deep familiarity with binary columnar storage formats (Parquet, Feather/Arrow IPC), including encoding strategies, compression tuning, row group sizing, predicate pushdown and schema evolution trade-offs
• Design namespace structure, tiering strategies, and protocol selection (NFS/S3) on VAST, optimizing for mixed workloads (experience with Vast Database and Vast Data engine is a plus)
• Bachelor's in Computer Science, Engineering, or equivalent; 
• Quantitative finance background is a plus

What We Offer

• Competitive compensation with a performance-based bonus
• 25 days PTO
• Healthcare and gym budget
• Mental health support
• Paid lunches
• Relocation assistance
• Learning budget for courses and certifications
• All within a modern office and a team that genuinely loves what it builds