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Data Engineer - Fully Remote

Eckdaten

Deutschland
Data Engineering

Arbeitsmodell

Vollständig remote
Nur Vereinigte Staaten
vor 4 Tagen
Stellenbeschreibung

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.