# Data Platform Engineer at Mercor

- Company: Mercor
- What the company does: Mercor is organizing human intelligence to power the AI economy. We are powering frontier research, AI benchmarks, and AI agent training at scale for the top AI labs and enterprises. Backed by General Catalyst and Menlo.
- Company website: https://mercor.com/
- Type: Startups
- Level: Mid level
- Location: San Francisco
- Work setup: On-site
- Pay: $160K to $500K base salary per year (USD)
- Posted: 2026-09-10
- Apply by: 2026-10-25
- Apply: https://jobs.ashbyhq.com/mercor/415d2ee3-44b9-40e5-ab4b-04340faa3872
- Page: https://www.1752.vc/careers/jobs/mercor-data-platform-engineer/

## About the role

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. - Design narrow, role-based access controls, and partner with automation so access is granted and revoked as people join, change teams, or leave

## What they'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

Tags: Engineering