Data Engineer - Marketing Science

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:
Data Engineer
Type:
Full-time
Compensation:
$90–$125/hour
Location:
Remote
Role Responsibilities

• Develop and optimize real-time data pipelines from existing data sources.
• Structure and organize large datasets for fast, smooth operations.
• Build and maintain data tables supporting multiple marketing signals across millions of advertisers.
• Collaborate with team members and act quickly on feedback.
• Serve as the data expert for marketing science initiatives.

Qualifications
Must-Have

• Proven experience building data pipelines and infrastructure.
• Strong skills in Python (preferred) and SQL.
• Ability to creatively structure data for performance and scalability.
• Experience working with large volumes of data (millions of rows).
• Bachelor's degree in Computer Science, Data Analytics, or related field.
• Strong collaboration and communication skills.

Preferred

• Experience with customer lifecycle management, CRM data, or marketing data tables.

Compensation & Legal

• Hourly contractor
• Paid weekly via Stripe Connect

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: https://talent.docs.mercor.com/welcome/welcome
• For any help or support, reach out to: support@mercor.com

*PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.*
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