Data Engineer - Pipeline Specialist

Mercor; San Francisco (CA); Hybrid; GBP 144,000 - 205,000; Part time

Job summary

Mercor, a UK-based talent partner for AI research labs, seeks a Data Engineer to design and own production data pipelines for AI model training. This remote contract runs from 14 September to 10 October 2026 with a 40-hour week.

You will work with Spark, Kafka, Airflow, dbt, Snowflake, BigQuery, and Databricks on AWS, GCP, or Azure, using SQL and Python for ETL/ELT data flows. UK-residency and right to work are required.

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.

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.

Skills

SQL

Python

ETL/ELT

Data Warehousing

UK work right

Tools

Spark

Kafka

Airflow

dbt

Snowflake

BigQuery

Databricks

AWS

GCP

Azure

Job 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.

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.

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]