Data Engineer - Fully Remote

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.
• 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 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: 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.