Data Platform Engineer

Job summary

Responsibilities

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.

• 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

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

Tech stack

• Snowflake
• Airflow
• SQL
• Python
• Kafka