Data Platform Engineer

Mercor; San Francisco (CA); Hybrid; USD 180,000 - 240,000; Full time

Benefits offered by this job

Bi-annual performance bonus structure

Generous equity grant vested over 4 is

Relocation bonus up to $15k

Housing bonus $10K (within 0.5 miles)

$1.5K monthly meals stipend

Free Equinox membership

$200 monthly laundry reimbursement

$200 monthly wellness reimbursement

Health, Dental, Vision insurance

Job summary

Mercor is building the data platform that powers AI models, with a foundation on Snowflake, Fivetran, Airflow and Hex. The role focuses on organizing data, controlling access, and ensuring reliable, cost-efficient data infrastructure for a fast-growing AI data company.

You will own data governance, streaming ingestion, and production data pipelines, collaborating with engineers across the company in a hands-on, in-person environment in SF/NYC/London. Strong SQL and Python skills are essential.

Qualifications

• Hands-on Snowflake administration including roles, grants, warehouses and cost tuning.
• Experience designing data access and governance models at scale (RBAC, PII).
• Comfort owning vendor tooling end-to-end (Fivetran, Airflow/Astronomer) including on-call.
• Track record migrating or re-architecting live production data systems.
• Strong SQL and Python with infra fluency for judgment calls.
• Experience owning CDC/streaming pipelines in production (Debezium, Kafka, Snowpipe).

Responsibilities

• Bring structure and ownership to how data is organized in Snowflake across projects and teams.
• Design narrow, role-based access controls and automate access changes as people join, change teams, or leave.
• Extend row access policies and PII masking across sensitive datasets.
• Migrate data from various sources into governed, owned data stores.
• Own Fivetran connector health, Airflow/Astronomer pipelines, and Hex governance.
• Monitor and right-size Snowflake warehouse spend.
• Help build CDC/streaming ingestion and internal data-platform tooling.

Tools

Snowflake

Fivetran

Airflow

Astronomer

Kafka

Debezium

Snowpipe Streaming

SQL

Python

RBAC

PII governance

On-call

Job description

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