mercor

Data Engineer - Fully Remote | Upto $200/hr

United Kingdom · REMOTE · FREELANCE
Publiée le 7 septembre 2026 · Candidature traitée sur le site de l’entreprise
Data ScienceData-EngineeringData-Pipeline-EngineeringETL-ELT-DevelopmentData-Warehouse-EngineeringAI-ML-Data-EngineeringRemote-Data-EngineerData-Engineer

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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