Data Engineer - Fully Remote | Upto $200/hr

🏢 mercor · all mercor jobs (1099)
📍 United Kingdom
💰 USD 140 - 200 / hourly
📅 Posted 2026-09-07 · via Himalayas
🏷 Data-Engineering,Data-Pipeline-Engineering,ETL-ELT-Development,Data-Warehouse-Engineering,AI-ML-Data-Engineering,Remote-Data-Engineer,Data-Engineer
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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: UK-Based Data Engineering Experts
Type: Contract
Compensation: $140–$200/hour
Location: Remote
Duration: 14 September to 10 October 2026
Commitment: 40 hours/week
Role Responsibilities

- Produce professional documents and deliverables in Data Engineering .

- Collaborate with experts from other domains to build tasks and rubrics for AI model training .

- Utilize a core stack of SQL and Python for ETL and ELT processes.

- Work with tools like Spark , Kafka , Airflow , dbt , Snowflake , BigQuery , and Databricks on AWS , GCP , or Azure .

- Document and structure work to enhance AI model evaluation .

- Operate on a UK business-hours rhythm while maintaining independent work .

Qualifications

Must-Have

- Data Engineers with experience in building and owning pipelines in production.

- Proficiency in SQL and Python .

- Experience with ETL , ELT , orchestration, streaming, and data warehousing.

- Must be based in the United Kingdom and have the right to work in the United Kingdom.

Interview Process

- Resume and work history screen.

- Short assessment evaluating domain expertise.

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:

- For any help or support, reach out to:

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

Originally posted on Himalayas

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