Data Engineer - Fully Remote

Role Overview

Data Engineer (Fully Remote) — Contract at Mercor. You will build data pipelines and warehouse components that support long-horizon AI agent evaluation, using deterministic rubrics and verifiable ground truth.

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 generate specified output tables, including incremental logic and watermark behavior.
• Create Airflow/Dagster DAGs that run with test suites and data quality tests (with known pass/fail cases).
• Design warehouse schemas that meet defined contracts and performance targets tied to measured query-time budgets.
• Work independently during focused sessions to create challenging evaluation scenarios.
• Ensure tasks have checkable answers with no open-ended essays or subjective judgment.

Requirements (Must-Have)

• BS or MS in CS or a related field.
• 3+ years in data engineering or analytics engineering.
• Strong skills in:
  • dbt model development
  • Orchestration: Airflow, Dagster, Prefect
  • Warehouse design: Snowflake, BigQuery, Redshift, Databricks
  • Data quality and testing
• Comfortable working with data engineering artifacts: dbt models, DAGs, schema docs, data contracts, test suites.
• Clear written communication to express reasoning and encode it into deterministic rubrics.

Contract Details

• Hourly contractor compensation: $90–$125/hour.
• Contributors may be promoted based on task quality and throughput.

Application Process

• Upload resume and complete an AI interview via Mercor’s platform (about 20–30 minutes).