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Data Engineer - Fully Remote

Mercor

New YorkFull-timeMid LevelOn-site

Job Description

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: $90โ€“$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. Clear 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 20โ€“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: https://talent.docs.mercor.com/welcome For any help or support, reach out to: support@mercor.com PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

Posted 2 days ago

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