Data Warehouse Engineer

$90 - $125 per hour

Full-time

Mercor

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)

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Vacancy posted more than 2 months ago

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