4 months ago
San Francisco, CA, USA or New York, NY, USAMid Level
H1B sponsor
Responsibilities
- Extend and maintain core data models powering Pave’s compensation intelligence products.
- Design scalable data pipelines supporting production use cases across the product suite, especially Market Data.
- Implement monitoring, testing, and validation frameworks for data observability and dataset quality.
- Collaborate with data scientists, product managers, and software engineers to translate product needs into insights.
- Support data products and infrastructure that improve customer experiences and revenue growth.
- Work with data scientists and machine learning engineers on feature transformation, training datasets, and model deployment and monitoring.
Requirements
- 4+ years of experience in a Data or Analytics Engineering role, ideally in a product-facing capacity.
- Proficiency with dbt and Airflow.
- Familiarity with cloud data warehouses.
- Ability to design robust, scalable systems for future growth and evolving use cases.
- Experience collaborating on machine learning workflows, including feature transformation, training data creation, and model deployment and monitoring.
- A track record of shipping data products or infrastructure that improved business outcomes and end-user experiences.
- Product mindset, bias for action, and ability to make strategic trade-offs while unblocking oneself and others.
Benefits
- Comprehensive medical, dental, and vision coverage for employees and families.
- Flexible PTO and the ability to work from anywhere in the world for up to one month.
- Lunch and dinner stipends plus fully stocked kitchens.
- Quarterly education stipend.
- Robust parental leave.
- Commuter stipend.
- Hybrid work culture with teams together in person 3 to 4 days per week and a company-wide Friday Team Sync.
- Equity and region-specific benefits are included in the total rewards package; compensation is determined based on experience and interview leveling.
Tech Stack
Apache Airflowdbt
Categories
Data Engineering
About Pave
Pave builds a SaaS compensation platform for HR, finance, and total rewards teams to benchmark pay, run merit cycles, and communicate total rewards. It combines internal data with market intelligence from 9,000+ companies and integrates with common HR systems; customers include Stripe, Atlassian, and Databricks. Founded in 2019 and headquartered in San Francisco, the privately held company sells its software on a subscription basis.