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Mercor

Automates candidate screening and matching

Software Engineer - Data Infrastructure

Data Management +1Updated on Nov 14
Full-timeSan Francisco, CA, USA$160k - $500k /yr

About the Job

Requirements

  • Hands-on experience administering Snowflake, including roles, grants, warehouses, and cost and performance tuning.
  • Experience designing data access and governance models at scale, including role-based access control, row-level security, and personally identifiable information protection.
  • Experience owning vendor tooling end to end, such as Fivetran and Airflow/Astronomer, including on-call responsibilities.
  • A track record of migrating or re-architecting live production data systems without disrupting dependent teams.
  • Strong SQL and Python skills, plus infrastructure fluency to make sound judgments rather than only execute specifications.
  • Experience owning production change data capture or streaming pipelines, such as Debezium, Kafka, or Snowpipe Streaming, including delivery semantics, partitioning, and safe system cutovers.

Responsibilities

  • 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 personally identifiable information masking across sensitive datasets.
  • Migrate data from vendor and internal sources into properly owned and 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 spending.
  • Help build change data capture/streaming ingestion and other internal data platform tooling.

About the Company

Mercor

Automates candidate screening and matching

Mercor provides an AI-driven recruitment platform that automates key parts of hiring for both job seekers and employers. Job seekers upload their CVs and complete a 20-minute AI-led video interview, after which a proprietary language model generates detailed candidate profiles; employers receive automated resume screening, candidate matching, and initial interviews, with tailored AI interviews for specialized roles. The system uses a company-trained model to rank and recommend candidates by qualifications and predicted performance, and operates on a finder’s-fee revenue model with large-scale usage across software, operations, design, and other fields, including AI labs. Its goal is to speed up hiring while reducing bias and delivering better job-to-citizen matches.

Company size
201-500
Company stage
Series D
Total funding
$1.2B
Headquarters
Menlo Park, CA
Founded
2023

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