Job Description
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 behavior
- Orchestration and quality: Airflow/Dagster DAGs that pass a test suite, data quality tests with known pass/fail cases
- Warehouse design: schemas matching a defined contract, performance targets tied to a measured query-time budget
These 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 engineering
- Expertise in one or more of the following: dbt model development, pipeline orchestration (Airflow, Dagster, Prefect), warehouse design (Snowflake, BigQuery, Redshift, Databricks), data quality and testing
- Comfortable reading and producing data engineering artifacts: dbt models, DAGs, schema docs, data contracts, test suites
- Clear written communication; can articulate reasoning step by step and encode it into deterministic rubrics
- Located in the United States or Canada
Compensation
$90–$125/hr depending on domain depth and prior experience. Strong contributors are promoted based on task quality and throughput.
About Mercor
Mercor matches top global talent with leading companies. Apply through our referral network for a direct introduction.