RiseMe
LoginSign Up
Mercor logo
Mercor Verified
Human Resources (HR) Tech, AI, Staffing & Recruiting, Talent Marketplace, SaaS

Big Data Engineer

New York, New York, United StatesRemotePart Time$90–$125 /hrPosted 27 days agoVisa sponsorship available

Is this role right for you?

Upload your resume and get a skill-by-skill breakdown — see exactly where you match, where you're close, and what to highlight. Not a mystery percentage.

Get a tailored resume highlighting what this role needs.

Role summary

Mercor is seeking a contract Data Engineering Expert to build and maintain data pipelines and warehouse schemas. The role involves developing ETL/ELT processes, creating Airflow/Dagster DAGs, designing warehouse schemas, and ensuring data quality through testing and deterministic rubrics. Key technologies include dbt, Airflow, Dagster, Snowflake, BigQuery, Redshift, and Databricks. The position requires 3+ years of experience in data engineering or analytics engineering and strong written communication skills. This is a remote, hourly contract position.

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: support@mercor.com

*PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.*

Ready to apply?
You'll be redirected to Mercor's application page.

Similar roles