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Data Platform Engineer

San Francisco · San Francisco, California, United States

Pay
Pay not listedSimilar roles state $127K–$190K
Work setting
On-site — work setting source
Location type: On-site
From the employer’s posting
Employment
Full-time — employment source
Employment type: Full-time
From the employer’s posting
Team
Engineering — team source
Department: Engineering
From the employer’s posting

Before you apply

Sponsorship
Visa sponsorship not confirmed — sponsorship source
Will you require work sponsorship now and/or in the future?
From the employer’s application form
Apply at Mercor

What you’ll work on

Full posting
  • Set clear structure and ownership for how data is organized in Snowflake

  • Design role-based access controls and automate granting and revoking access

  • Extend row access policies and PII masking across sensitive datasets

  • Migrate data from vendor and internal sources into governed homes

  • Own Fivetran, Airflow/Astronomer reliability and on-call, and Hex governance

From the employer’s posting
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

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

Benefits in the posting

Full benefits wording
  • 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 personal wellness reimbursement
  • Health, Dental, Vision insurance

From the employer’s posting.

About Mercor

Mercor's mission is to organize human intelligence to power the AI economy.

In the employer’s words · Read in context · Company website ↗

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Status in our records
Live
First seen by us
Sep 10, 2026 · 49 days ago
Recorded sightings
125
Last seen by us
Oct 29, 2026

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Job description

View original posting ↗

About Mercor

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

Source details

View original posting ↗

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Location & working pattern

San Francisco, California, United States

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