Data Engineer - AI Trainer

Mercor, Inc.

New York, United States of America

yesterday

Role details

Contract type

Permanent contract

Employment type

Part-time (≤ 32 hours)

Working hours

Regular working hours

Languages

English

Experience level

Intermediate

Compensation

$ 260K

Remote

New York, United States of America

Artificial Intelligence

Airflow

Amazon Web Services (AWS)

Google BigQuery

Directed Acyclic Graph (Directed Graphs)

Information Engineering

ETL

Python

Snowflake

Terraform

Data Pipelines

Redshift

Databricks

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., Title: Data Scientist Location: Jersey City, NJ Duration: 11+ month Job Summary: We are seeking a skilled engineer with strong expertise in Python, AWS, and Terraform to …

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.

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