Analytics Engineer (Observability Tooling)

About this role

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