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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 2030 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. .
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.