Analytics Engineer

The role

You will extend and maintain core data models and design scalable data pipelines for compensation intelligence products. You will also implement data observability frameworks and collaborate with data scientists, product managers, and software engineers.

What you will do

• Extend and maintain core data models that power Pave's compensation intelligence products
• Design scalable data pipelines that support production use cases across our product suite
• Own data observability by implementing monitoring, testing, and validation frameworks
• Collaborate cross-functionally with data scientists, product managers and software engineers
• Help drive millions of dollars of revenue growth

Required qualifications

• 4+ years of experience in a Data/Analytics Engineering role
• Proficiency with dbt
• Proficiency with airflow
• Familiarity with cloud data warehouses
• Track record of shipping data products or infrastructure that improved business outcomes and end user experiences

Nice to have

• Experience in a product-facing capacity
• Exposure to ML workflows

Benefits

• Meaningful equity
• Medical, dental, and vision coverage
• Unlimited PTO
• Work from anywhere in the world for up to a month
• Lunch and dinner stipends
• Fully stocked kitchens
• Quarterly education stipend
• Robust parental leave
• Commuter stipend

Before you apply

• Pave uses automated tools, including AI-based fraud detection, to verify applicant identity

About the company

Pave is building a compensation platform combining a real-time compensation dataset with AI and machine learning. The company is headquartered in San Francisco's Financial District.