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# Software Engineer - Data Infrastructure

- **Company:** Mercor, Inc.
- **Location:** San Francisco, CA, United States
- **Salary:** $10,000
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Airflow, Data Files, Data Infrastructure, Data Migration, Data Security, Data Systems, Python (Programming Language), Performance Tuning, Role-Based Access Control, Standard Sql, Software Engineering, Data Streaming, Snowflake, Debezium, Data Analytics, Star Schema, Apache Kafka, Data Pipelines
- **Published:** November 13, 2026
- **Apply:** https://www.careerbuilder.com/job-details/software-engineer-data-infrastructure-san-francisco-ca--f384fd19-d35c-430e-893b-9b4ddbd4b63b

## About the Role

Software Engineering, Artificial Intelligence (AI), Training/Teaching, Human Intelligence (HUMINT), Benchmarking, Problem Solving Skills, Organizational Skills, Snowflake Schema, Data Sets, Data Migration, 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.

## Description

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 Infrastructure 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