Data Engineering Expert - Pipelines

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

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