Data Platform Engineer
San Francisco, California, United States
What you’ll work on
Full postingYou’ll work alongside researchers, operators, and AI companies at the forefront of shaping the systems that are redefining society.
From the employer’s posting
Mercor's mission is to organize human intelligence to power the AI economy. We're a leading AI data company, building the layer between human expertise and frontier models. Millions of domain experts on the platform are paid over $4 million per day to train frontier AI models. Mercor's APEX benchmark family measures AI's real-world impact on professional work. Mercor Enterprise brings this same infrastructure to Fortune 500 companies: helping companies capture how their best people actually work, translating that expertise directly back into agents. Mercor is creating a new category of work where expertise powers AI advancement. Achieving this requires an ambitious, fast-paced and deeply committed team. You’ll work alongside researchers, operators, and AI companies at the forefront of shaping the systems that are redefining society. Mercor is a profitable Series C company valued at $10 billion. We work in-person five days a week in our San Francisco, NYC, or London offices. What This Person Owns
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Tools in this posting
- python
- sql
- fivetran
- kafka
- snowflake
- airflow
Source — Tool mentions in context
- Track record migrating or re-architecting live production data systems without breaking dependent teams - Strong SQL and Python, with infrastructure fluency to make judgment calls, not just execute a spec - Experience owning CDC/streaming pipelines in production (Debezium, Kafka, Snowpipe Streaming or similar), including reasoning about delivery semantics, partitioning, and safe cutovers between systems.
What This Person Owns The infrastructure every data-driven team at Mercor runs on: Snowflake, Fivetran, Airflow, and Hex. You own how data is organized, who can access what, what it costs to run, and how reliably it operates. This is a foundational hire on a new Data Platform team, you'll help set the standards other engineers build against. What They Do Day-to-Day
- Migrate data from a variety of vendor and internal sources into properly owned, governed homes - Own Fivetran connector health and cost, Airflow/Astronomer pipeline reliability and on-call, and Hex governance across company-wide dashboards - Monitor and right-size Snowflake warehouse spend
- Experience designing data access and governance models (RBAC, row-level security, PII) at scale - Comfort owning vendor tooling end to end (Fivetran, Airflow/Astronomer, or similar), including on-call - Track record migrating or re-architecting live production data systems without breaking dependent teams
- Strong SQL and Python, with infrastructure fluency to make judgment calls, not just execute a spec - Experience owning CDC/streaming pipelines in production (Debezium, Kafka, Snowpipe Streaming or similar), including reasoning about delivery semantics, partitioning, and safe cutovers between systems. Benefits
What They Do Day-to-Day - Bring structure and clear ownership to how data is organized in Snowflake across projects and teams - Design narrow, role-based access controls, and partner with automation so access is granted and revoked as people join, change teams, or leave
- Own Fivetran connector health and cost, Airflow/Astronomer pipeline reliability and on-call, and Hex governance across company-wide dashboards - Monitor and right-size Snowflake warehouse spend - Help build CDC/streaming ingestion and other internal data platform tooling
What We're Looking For - Hands-on experience with Snowflake administration: roles, grants, warehouses, cost/performance tuning - Experience designing data access and governance models (RBAC, row-level security, PII) at scale
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- Location & working pattern
San Francisco, California, United States
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Posting history
- Status in our records
- Active
- First seen by us
- Sep 10, 2026
- Recorded sightings
- 1
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Report an errorJob description
Mercor's mission is to organize human intelligence to power the AI economy. We're a leading AI data company, building the layer between human expertise and frontier models. Millions of domain experts on the platform are paid over $4 million per day to train frontier AI models. Mercor's APEX benchmark family measures AI's real-world impact on professional work. Mercor Enterprise brings this same infrastructure to Fortune 500 companies: helping companies capture how their best people actually work, translating that expertise directly back into agents.
Mercor is creating a new category of work where expertise powers AI advancement. Achieving this requires an ambitious, fast-paced and deeply committed team. You’ll work alongside researchers, operators, and AI companies at the forefront of shaping the systems that are redefining society. Mercor is a profitable Series C company valued at $10 billion. We work in-person five days a week in our San Francisco, NYC, or London offices.
What This Person Owns
The infrastructure every data-driven team at Mercor runs on: Snowflake, Fivetran, Airflow, and Hex. You own how data is organized, who can access what, what it costs to run, and how reliably it operates. This is a foundational hire on a new Data Platform team, you'll help set the standards other engineers build against.
What They Do Day-to-Day
- Bring structure and clear ownership to how data is organized in Snowflake across projects and teams
- Design narrow, role-based access controls, and partner with automation so access is granted and revoked as people join, change teams, or leave
- Extend row access policies and PII masking across all sensitive datasets
- Migrate data from a variety of vendor and internal sources into properly owned, governed homes
- Own Fivetran connector health and cost, Airflow/Astronomer pipeline reliability and on-call, and Hex governance across company-wide dashboards
- Monitor and right-size Snowflake warehouse spend
- Help build CDC/streaming ingestion and other internal data platform tooling
What We're Looking For
- Hands-on experience with Snowflake administration: roles, grants, warehouses, cost/performance tuning
- Experience designing data access and governance models (RBAC, row-level security, PII) at scale
- Comfort owning vendor tooling end to end (Fivetran, Airflow/Astronomer, or similar), including on-call
- Track record migrating or re-architecting live production data systems without breaking dependent teams
- Strong SQL and Python, with infrastructure fluency to make judgment calls, not just execute a spec
- Experience owning CDC/streaming pipelines in production (Debezium, Kafka, Snowpipe Streaming or similar), including reasoning about delivery semantics, partitioning, and safe cutovers between systems.
Benefits
Bi-annual performance bonus structure
Generous equity grant vested over 4 years
Up to $15k Relocation bonus
$10K housing bonus (if you live within 0.5 miles of our office)
$1.5K monthly stipend for meals
Free Equinox membership
$200 monthly laundry reimbursement
$200 monthly personal wellness reimbursement
Health, Dental, Vision insurance