about 15 hours ago
San Francisco, CA, USA or New York, NY, USAMid Level / Senior
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.