Sepal AI builds the world’s hardest tests for AI grounded in real-world software systems. We’re hiring a Data Engineer with 3+ years of experience and a strong systems mindset to help us build evaluation environments for AI in high-throughput log analysis contexts.\n\n🧠 What You’ll Do\n - Design and implement analytical schemas and pipelines using tools like BigQuery, ClickHouse, Snowflake, Redshift, and other high-performance columnar databases.\n - Work on complex, distributed queries over massive log and telemetry datasets.\n - Create and manage synthetic datasets that simulate real-world DevOps, observability, or cloud infrastructure logs.\n - Tune and optimize distributed query execution plans to avoid timeouts and reduce over-scanning.\n\n✅ Who You Are\n - 3+ years of experience in data engineering or backend systems roles.\n - Deep expertise in analytical databases and OLAP engines with a focus on large-scale query optimization, schema design, and performance tuning.\n - Hands-on with log ingestion pipelines (e.g., FluentBit, Logstash, Vector) and schema design for observability systems.\n - Strong SQL skills: you know how to reason through performance problems and spot inefficient query patterns.\n - Bonus: Experience with Python, Docker, or synthetic data generation.\n\n💸 Pay\n$50 - 85/hr depending on experience\nRemote, flexible hours\nProject timeline: 5-6 weeks