Data Engineer - Fully Remote | Upto $200/hr
Budget / Salary$140–200
TypeContract
LocationUnited Kingdom
Posted3 hours ago
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
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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