About the job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark , General Catalyst , Peter Thiel , Adam D'Angelo , Larry Summers , and Jack Dorsey .

Position: Data Engineering Expert

Type: Contract

Compensation: $90–$125/hour

Location: Remote

Role Responsibilities

- Build long-horizon pipeline tasks with deterministic rubrics to grade agent performance against verifiable ground truth.
- Develop ETL/ELT pipelines and dbt models to produce specified output tables with incremental logic and defined watermark behavior.
- Create Airflow/Dagster DAGs that pass test suites and data quality tests with known pass/fail cases.
- Design warehouse schemas matching defined contracts and performance targets tied to measured query-time budgets.
- Work independently in long focus sessions to create challenging scenarios for agent evaluation.
- Ensure tasks have checkable answers without open-ended essays or subjective judgment calls.

Qualifications

Must-Have

- BS or MS in CS or related field.




- 3+ years in data engineering or analytics engineering.
- Expertise in dbt model development , pipeline orchestration ( Airflow , Dagster , Prefect ), warehouse design ( Snowflake , BigQuery , Redshift , Databricks ), and data quality and testing.
- Comfortable with data engineering artifacts: dbt models , DAGs , schema docs, data contracts, and test suites.
- Transparent written communication skills to articulate reasoning and encode it into deterministic rubrics.

Compensation & Legal

- Hourly contractor
- Strong contributors are promoted based on task quality and throughput.

Application Process (Takes 20–30 mins to complete)

- Upload resume
- AI interview based on your resume
- Submit form

Resources & Support

- For details about the interview process and platform information, please check:
- For any help or support, reach out to: [email protected]

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

📌 Data Warehouse Engineer (Toronto)
🏢 Mercor
📍 Toronto