Analytics Engineer Upto $125 hr

Mercor
Remote Toronto, Toronto, Ontario, Canada Full-time 🌐 English
ME
Salary: $90 - $125/hr
Added to JobCollate: May 23, 2026

Source: RemoteOK

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AI Summary Powered by Gemini

This role involves building robust data pipelines, dbt models, and evaluation frameworks to assess AI agent performance for a high-profile AI research firm. It requires 3+ years of experience in data engineering and expertise in orchestration tools like Airflow or Dagster, offering a unique opportunity to contribute to cutting-edge AI development.

Job Description

About The JobMercor 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 ExpertType: ContractCompensation: $90–$125/hourLocation: RemoteRole ResponsibilitiesBuild 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.QualificationsMust-HaveBS 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 & LegalHourly contractorStrong contributors are promoted based on task quality and throughput.Application Process (Takes 20–30 mins to complete)Upload resumeAI interview based on your resumeSubmit formResources & SupportFor details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcomeFor any help or support, reach out to: support@mercor.comPS: 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.

Full Description

About The JobMercor 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 ExpertType: ContractCompensation: $90–$125/hourLocation: RemoteRole ResponsibilitiesBuild 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.QualificationsMust-HaveBS 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 & LegalHourly contractorStrong contributors are promoted based on task quality and throughput.Application Process (Takes 20–30 mins to complete)Upload resumeAI interview based on your resumeSubmit formResources & SupportFor details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcomeFor any help or support, reach out to: support@mercor.comPS: 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.

Required Skills

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