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Mercor

Data Platform Engineer

San Francisco$130k–$500kfulltimemidAdded 2 days ago

About this role

Mercor seeks a Data Platform Engineer to own the foundational infrastructure powering the company's data operations, including Snowflake, Fivetran, Airflow, and Hex. You'll establish data governance standards, manage access controls, ensure pipeline reliability, and architect scalable data systems as a key hire on a new platform team.

What you'll do

  • Architect and maintain data organization in Snowflake with clear ownership models across teams and projects
  • Design and implement role-based access controls, row-level security, and PII masking policies at scale
  • Migrate data from multiple vendor and internal sources into properly governed systems
  • Own Fivetran connector health, Airflow pipeline reliability, and Hex dashboard governance including on-call responsibilities
  • Monitor Snowflake warehouse performance and optimize costs
  • Build and maintain CDC/streaming ingestion systems and internal data platform tooling

What they're looking for

  • Snowflake administration (roles, grants, warehouses, cost tuning)
  • Data governance and access control design (RBAC, row-level security)
  • SQL and Python programming
  • Fivetran, Airflow/Astronomer platform expertise
  • CDC/streaming pipelines (Debezium, Kafka, Snowpipe Streaming)
  • Data migration and production system re-architecting
  • Infrastructure fluency and on-call operations
  • Delivery semantics and pipeline partitioning knowledge

Benefits

  • Bi-annual performance bonus
  • Generous equity grant (4-year vesting)
  • Up to $15k relocation bonus
  • $10k housing bonus (within 0.5 miles of office)
  • $1.5k monthly meals stipend
  • Health, dental, vision insurance, Equinox membership, wellness and laundry reimbursement
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Mercor

Mercor builds a marketplace platform connecting expert talent to AI opportunities, supported by identity infrastructure, matching algorithms, and internal tools for data management. The company is hiring Software Engineers, Machine Learning Engineers, Fullstack Engineers, and Security Engineers to develop backend systems, ML models, cloud infrastructure, and distributed platforms.

Website
mercor.io
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Likely interview questions

  • Walk us through a time you migrated or re-architected a live production data system—how did you ensure dependent teams weren't impacted?
  • Describe your approach to designing role-based access controls and row-level security policies across a multi-team data warehouse.