Pave
Analytics Engineer
$169K–$222K
San Francisco, CA +2 · Full-time · Posted Jul 21, 2026
- Location
- San Francisco, CA
New York, New York, United States
San Francisco, California, United States - Experience
- 4+ years of experience in a Data/Analytics Engineering role.
About the job
Build and maintain data models, pipelines, and quality systems powering Pave’s compensation intelligence products, particularly Market Data.
What you'll do
- Extend and maintain core data models and scalable production data pipelines.
- Implement monitoring, testing, and validation to ensure dataset observability and trust.
- Work with data scientists, product managers, and software engineers to turn product needs into customer insights.
What they ask for
- Proficiency with dbt and airflow.
- Familiarity with cloud data warehouses.
- Experience collaborating with data scientists or machine learning engineers on features, training datasets, or model deployment and monitoring.
- Track record of shipping data products or infrastructure that improved business outcomes and user experience.
Nice to have
- Product-facing data or analytics engineering experience.
- Exposure to ML workflows.
Pay
$169,000 - $194,000 USD cash compensation (P3); $202,000 - $222,000 USD cash compensation (P4)
Tools
dbt, airflow
AI focus
Collaborate on ML workflows, including transforming features, creating training datasets, and deploying and monitoring models.
Model-written summary · the original posting is authoritative