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Mercor

Data Engineering Expert

Mercor

. Produce professional documents and deliverables from your day-to-day data engineering work .

Posted 9/21/2026contractRemote • United KingdomMid-LevelSenior💰 $140 - $200 per hourWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in building and managing production data pipelines, with strong skills in SQL and Python. Proficient in ETL and ELT processes, and experienced with cloud platforms such as AWS, GCP, or Azure.

Highest-signal resume keywords
Data EngineeringSQLPythonETLAWS

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Data Pipeline DevelopmentSQLPythonETLELTData WarehousingOrchestrationStreamingData EngineeringDomain-Expertise Assessment
Soft Skills
Professional JudgmentCollaboration
Tools & Technologies
SparkKafkaAirflowDbtSnowflakeBigQueryDatabricksAWSGCPAzure
Industry Keywords
Data EngineerAnalytics EngineerData Platform EngineerData Architect

Tech Stack

Tools & technologies
AirflowAWSAzureBigQueryETLGoogle Cloud PlatformKafkaPythonSparkSQL

About the role

Key responsibilities & impact
  • Produce professional documents and deliverables from your day-to-day data engineering work
  • Work alongside experts from other domains
  • Create outputs that are logged and used to build tasks and rubrics for training and evaluating frontier AI models
  • Apply professional judgment to support AI model training and evaluation
  • Collaborate with the project team during UK business hours
  • Complete a short, intensive project running from 14 September to 10 October 2026
  • Work approximately 40 hours per week
  • Document and structure data engineering work where required

Requirements

What you’ll need
  • Must be based in the United Kingdom
  • Must have the right to work in the United Kingdom
  • Hands-on experience building and owning production data pipelines
  • Experience as a Data Engineer, Senior or Staff Data Engineer, Analytics Engineer, Data Platform Engineer, or Data Architect
  • Core skills in SQL and Python
  • Experience with ETL and ELT
  • Experience with orchestration, streaming, and data warehousing
  • Experience using tools such as Spark, Kafka, Airflow, dbt, Snowflake, BigQuery, or Databricks
  • Experience with AWS, GCP, or Azure
  • Resume and work history screening
  • Successful completion of a short domain-expertise assessment
  • Must not be committed to other projects requiring significant hours during the project period
  • Unable to support H1-B or STEM OPT candidates

Benefits

Comp & perks
  • Competitive pay
  • Weekly payments via Stripe or Wise
  • Fully remote work
  • Flexible schedule
  • Opportunity to collaborate with leading researchers
  • Opportunity to help shape the next generation of AI systems
  • Referral earnings of up to $800 per successful referral
  • Reasonable accommodations upon request