Observability Tooling Data Engineer - Denver - Sepal

    Sepal
    Sepal Denver

    1 week ago

    Description

    Join Sepal AI, where we build cutting-edge evaluations for AI based on real-world software systems. We are currently seeking a passionate Data Engineer with at least 3 years of experience and a strong systems mindset to help develop innovative evaluation environments for AI in high-throughput log analysis contexts.

    Your Responsibilities:

    • Design and execute advanced analytical schemas and pipelines utilizing top-tier tools such as BigQuery, ClickHouse, Snowflake, and Redshift.
    • Work with complex, distributed queries across extensive log and telemetry datasets.
    • Develop and manage synthetic datasets that replicate real-world DevOps, observability, or cloud infrastructure logs.
    • Enhance and optimize distributed query execution plans to minimize timeouts and decrease over-scanning.

    Who You Are:

    • Possess 3+ years of experience in data engineering or backend systems roles.
    • Have deep expertise in analytical databases and OLAP engines with a strong focus on large-scale query optimization, schema design, and performance tuning.
    • Experienced with log ingestion pipelines (e.g., FluentBit, Logstash, Vector) and schema design for observability systems.
    • Exhibit strong SQL skills, capable of identifying performance issues and recognizing inefficient query patterns.
    • Bonus: Familiarity with Python, Docker, or synthetic data generation is a plus.

    Compensation:
    $50 - 85/hr based on experience. This role offers remote, flexible hours and is expected to last for 5-6 weeks.


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