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Mercor

Analytics Engineer Upto $125 hr

Mercor

Toronto, Toronto, Ontario, Canada 1w ago
Analytics EngineeringRemoteMid level
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RemoteMid levelPosted 1w ago

Compensation

Salary & market context

Salary not listed

100% below the BLS national median

BLS national median: $74,680

  • n: $90–$125/hour
  • Location: Remote
  • Role Responsibilities

Requirements

Top requirements

  • e
  • 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.

Perks & setup

Work setup

  • Remote
  • Mid level
  • Posted 1w ago

Start here

Requirements

  • e
  • 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: [email protected]

Responsibilities

What you'll do

  • 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.
  • Design warehouse schemas matching defined contracts and performance targets tied to measured query-time budgets.
  • Expertise in dbt model development, pipeline orchestration (Airflow, Dagster, Prefect), warehouse design (Snowflake, BigQuery, Redshift, Databricks), and data quality and testing.

Role snapshot

About the role

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

Source text

Full listing preview

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: [email protected] PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity. Please mention the word **AGILELY** and tag ROjox when applying to show you read the job post completely (#ROjox). This is a beta feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human.
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