Job Details

Overview What you'll do Mercor is partnering with leading AI labs to advance frontier agent evaluations in data engineering. As a Data Engineering Expert, you'll build long-horizon pipeline tasks that mirror the work you already do, each paired with a deterministic rubric that grades agent performance against verifiable ground truth. Tasks need to have checkable answers; no open-ended essays, no subjective judgment calls. Expect to build scenarios across :Pipelines: ETL / ELT and dbt models that produce a specified output table, incremental logic with defined watermark behaviorOrchestration and quality: Airflow / Dagster DAGs that pass a test suite, data quality tests with known pass / fail casesWarehouse design: schemas matching a defined contract, performance targets tied to a measured query-time budgetThese scenarios will be challenging and take long sessions of focus.Who we're looking for BS or MS in CS or related; 3+ years in data engineering or analytics engineeringExpertise in one or more of the following: dbt model development, pipeline orchestration (Airflow, Dagster, Prefect), warehouse design (Snowflake, BigQuery, Redshift, Databricks), data quality and testingComfortable reading and producing data engineering artifacts: dbt models, DAGs, schema docs, data contracts, test suitesClear written communication; can articulate reasoning step by step and encode it into deterministic rubricsLocated in the United States or CanadaCompensation $90–$125 / hr depending on domain depth and prior experience. Strong contributors are promoted based on task quality and throughput.#J-18808-Ljbffr