[Hiring] Data Engineer - Pipeline Specialist @Mercor

Role Description

• 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

• 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.

Requirements

• Resume and work history screen.
• Short assessment evaluating domain expertise.

Benefits

• Compensation: $140–$200/hour.
• Location: Remote.
• Duration: 14 September to 10 October 2026.
• Commitment: 40 hours/week.

Company Description

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.