Data Engineering Expert - Fully Remote | Upto $200/hr

About the role

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 ExpertsType:ContractCompensation:$140–$200/hourLocation:RemoteDuration:14 September to 10 October 2026Commitment:40 hours/week Role Responsibilities Develop and own data pipelines in production environments. Collaborate with experts to create tasks and rubrics for AI model training and evaluation. Utilize SQL, Python, and tools like Spark, Kafka, Airflow, dbt, Snowflake, BigQuery, and Databricks on AWS, GCP, or Azure. Document and structure data engineering processes for effective knowledge transfer. Work within a UK business-hours rhythm to ensure seamless collaboration. Qualifications Must-Have Data Engineers with experience in building and owning pipelines. Proficiency in SQL and Python. Experience with ETL and 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. A 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

Skills mentioned in the listing

PythonSQLAWSAzureGoogle CloudSparkDatabricksSnowflakeETLData engineering

Recognised skills are extracted from the supplied description using canonical names and aliases. They are mentions, not verified essential requirements. Check the source advert for the employer’s full requirements and location restrictions.

Why these skills appear

Python · mentioned
to create tasks and rubrics for AI model training and evaluation. Utilize SQL, Python, and tools like Spark, Kafka, Airflow, dbt, Snowflake, BigQuery, and Databricks on AWS, GCP, or Azure. Document and structure data e

SQL · mentioned
erts to create tasks and rubrics for AI model training and evaluation. Utilize SQL, Python, and tools like Spark, Kafka, Airflow, dbt, Snowflake, BigQuery, and Databricks on AWS, GCP, or Azure. Document and structure d

AWS · mentioned
d tools like Spark, Kafka, Airflow, dbt, Snowflake, BigQuery, and Databricks on AWS, GCP, or Azure. Document and structure data engineering processes for effective knowledge transfer. Work within a UK business-hours rh

Azure · mentioned
Spark, Kafka, Airflow, dbt, Snowflake, BigQuery, and Databricks on AWS, GCP, or Azure. Document and structure data engineering processes for effective knowledge transfer. Work within a UK business-hours rhythm to ensur

Google Cloud · mentioned
ls like Spark, Kafka, Airflow, dbt, Snowflake, BigQuery, and Databricks on AWS, GCP, or Azure. Document and structure data engineering processes for effective knowledge transfer. Work within a UK business-hours rhythm

Spark · mentioned
rics for AI model training and evaluation. Utilize SQL, Python, and tools like Spark, Kafka, Airflow, dbt, Snowflake, BigQuery, and Databricks on AWS, GCP, or Azure. Document and structure data engineering processes fo

Databricks · mentioned
QL, Python, and tools like Spark, Kafka, Airflow, dbt, Snowflake, BigQuery, and Databricks on AWS, GCP, or Azure. Document and structure data engineering processes for effective knowledge transfer. Work within a UK bus

Snowflake · mentioned
nd evaluation. Utilize SQL, Python, and tools like Spark, Kafka, Airflow, dbt, Snowflake, BigQuery, and Databricks on AWS, GCP, or Azure. Document and structure data engineering processes for effective knowledge transf

ETL · requirement-context
building and owning pipelines. Proficiency in SQL and Python. Experience with ETL and ELT, orchestration, streaming, and data warehousing. Must be based in the United Kingdom and have the right to work in the United K

Data engineering · mentioned
Data Engineering Expert - Fully Remote | Upto $200/hr About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, Gene