Data Pipeline Developer
Mercor
Job Overview
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Job Description
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 Pipeline Developer
This is a contract role with competitive hourly compensation.
Role Responsibilities
- Develop and optimize real-time data pipelines to enhance advertising performance.
- Structure and organize large datasets for scalability and efficiency.
- Build and maintain data tables supporting multiple marketing signals.
- Collaborate with team members and quickly act on feedback.
- Serve as the data expert for marketing science initiatives.
Qualifications
Must-Have: Proven experience in building data pipelines and infrastructure; strong skills in Python and SQL; ability to structure data creatively for performance; experience with large datasets; 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
In alignment with California Fair Chance Act and related ordinances, qualified applicants with arrest and conviction records will be considered.
Application Process
- Upload resume
- AI interview based on your resume
- Submit form
Resources & Support
For details about the interview process and platform, please visit this link. For any support, reach out to support@mercor.com.
Key skills/competency
- Data Pipelines
- Python
- SQL
- Data Infrastructure
- Real-Time Processing
- Large Datasets
- Scalability
- Collaboration
- Marketing Data
- Analytics
How to Get Hired at Mercor
- Customize your resume: Highlight pipeline development and Python expertise.
- Research Mercor: Understand their AI and marketing initiatives.
- Showcase project results: Include scalable data solutions worked on.
- Prepare for interviews: Review technical SQL and pipeline optimization.
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