4 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
We find the best experts in every professional domain and put their knowledge to work training frontier models. Through APEX, we measure whether those models can actually perform economically valuable work. We're also bringing that expertise to enterprises: deploying custom AI agents, staffing teams with vetted domain experts, and helping organizations encode their own knowledge into AI systems.