Data Engineer
Mercor · San Francisco
CHECKED 9M AGO
Applied AIonsite$160k–$500k
At a glance
Highlights
- Build pipelines that power Data Science, Engineering and Product teams.
- Own data reliability from ingestion through to consumption at scale.
- Power how leading AI labs train and test frontier models.
What they offer
- Bi-annual performance bonus structure
- Generous equity grant vested over 4 years
- Up to $15k relocation bonus
- $10K housing bonus if living within 0.5 miles of office
- $1.5K monthly stipend for meals
- Free Equinox membership
- $200 monthly laundry reimbursement
- $200 monthly personal wellness reimbursement
- Health, dental, vision insurance
Ideal candidate
A collaborative data engineer who thrives on ownership and reliability. You enjoy partnering across teams to make trusted data available quickly and care about powering AI with high-quality infrastructure.
Requirements
- Proven experience in data engineering
- Strong knowledge of SQL, Python and modern data stack tools (Fivetran, dbt, Snowflake or similar)
- Experience building and maintaining large-scale ETL/ELT pipelines across heterogeneous sources
- Strong understanding of data modeling, schema design and transformation best practices
- Familiarity with data governance, monitoring and quality assurance
- Comfort working cross-functionally with engineering, product and operations teams
- remote policy
- In-person 5 days a week, no remote
Lab profile
About Mercor
AI data company organizing human expertise to train frontier models for the AI economy.
What they build
- APEX benchmark family
- Mercor Enterprise
- Human expertise training data platform
Known for
- Massive domain-expert network
- Frontier model training infrastructure
- Real-world professional work evaluation
Key facts
- Millions of domain experts on platform
- Pays over $4M per day to experts