5 months ago
San Francisco, CA, USA or New York, NY, USAMid Level / Senior
H1B sponsor
Base Salary
$130k - $500k/yr
Responsibilities
- Build robust pipelines to ingest, transform, and consolidate data from diverse sources.
- Design dbt models and transformations for clean, production-ready schemas.
- Implement scalable, fault-tolerant data workflows using Fivetran, dbt, SQL, and Python.
- Partner with engineers, data scientists, and business stakeholders to ensure data availability and accuracy.
- Own data quality and reliability across the stack from ingestion to consumption.
- Continuously improve pipeline performance, monitoring, and scalability.
Requirements
- Proven experience in data engineering with strong knowledge of SQL and Python.
- Experience building and maintaining large-scale ETL/ELT pipelines across heterogeneous sources.
- Strong understanding of data modeling, schema design, and transformation best practices.
- Familiarity with data governance, monitoring, and quality assurance.
- Comfort working cross-functionally with engineering, product, and operations teams.
- Bonus: prior experience supporting machine learning workflows or analytics platforms.
Benefits
- Generous equity grant vested over 4 years.
- A $10K housing bonus if you live within 0.5 miles of our office.
- A $1K monthly stipend for meals.
- Free Equinox membership.
- Health insurance.
About Mercor
Mercor builds an expert-powered platform that trains, evaluates, and deploys AI systems for AI labs and enterprises. It operates APEX to assess model performance on economically valuable tasks, and provides services such as custom AI agents and teams of vetted domain experts who encode organizational knowledge into AI. Founded in 2023 and headquartered in San Francisco, it is privately held and works with frontier AI labs and enterprise clients requiring strict data isolation.