Analytics Engineer (Observability Tooling)

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

Created: 2026-02-02