Data Engineer - Fully Remote | Upto $200/Hr

Mercor; San Francisco (CA); Hybride; GBP 146 000 - 208 000; Temps partiel

Résumé du poste

Mercor is seeking UK-based Data Engineering Experts for a short-term contract to support AI model training and data pipelines. The role focuses on building production-grade data pipelines using SQL and Python, with orchestration and data warehousing across AWS/GCP/Azure.

The project runs from 14 September 2026 to 10 October 2026, at 40 hours per week, with remote work from the UK. Candidates should be eligible to work in the United Kingdom and able to work UK business hours.

Qualifications

• Data Engineers with experience 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

Responsabilités

• 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

Connaissances

SQL

Python

Data pipelines

Production data engineering

Outils

Airflow

dbt

Spark

Kafka

Snowflake

BigQuery

Databricks

AWS

GCP

Azure

Description du poste

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.

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: [e-mail]