Pave
Analytics Engineer
San Francisco, CA & New York, NY
Sponsorship not specifiedDetected 17 hours ago
DatabricksMachine LearningAirflowdbtData EngineeringData ScienceStatisticsCompensationCollaboration
About the role
- The future of pay is real-time & predictive, and we're making it happen right now.
- Even the most innovative tech companies in the world often use spreadsheets full of flawed statistics to determine how to pay.
- We're always happy to walk you through how we think about leveling - just ask.
Responsibilities
- 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, with an emphasis on Market Data
- Own data observability by implementing monitoring, testing, and validation frameworks that maintain trust in our dataset as it scales
- Help drive millions of dollars of revenue growth
- Product Mindset - You want to be a core contributor in building and maintaining the data infrastructure for a product. You intuitively understand how decisions made within the data pipeline affect the user experience downstream.
- Scalability - You design and implement systems that are robust and scalable, ensuring they can efficiently handle future growth and evolving use-cases.
- As you develop, your role expands, your responsibilities deepen, and your compensation reflects the impact you're making.
- You want to be a core contributor in building and maintaining the data infrastructure for a product. You intuitively understand how decisions made within the data pipeline affect the user experience downstream.
- You design and implement systems that are robust and scalable, ensuring they can efficiently handle future growth and evolving use-cases.
- We've raised $160M in funding from leading investors like Andreessen Horowitz, Index Ventures, Y Combinator, Bessemer Venture Partners, and Craft Ventures.
Requirements
- 4+ years of experience in a Data/Analytics Engineering role, ideally in a product-facing capacity.
- Proficiency with dbt and airflow, and familiarity with cloud data warehouses.
Nice to have
- Lunch and dinner stipends plus fully stocked kitchens, so you can stay energized without thinking twice about it.
Compensation
- At Pave, we're building the industry's leading compensation platform, combining the world's largest real-time compensation dataset with deep expertise in AI and machine learning.
- Our platform is perfecting the art and science of pay to give 8,500+ companies unparalleled confidence in every compensation decision.
- Top tier companies like OpenAI, McDonald's, Instacart, Atlassian, Synopsys, Stripe, Databricks, and Waymo use Pave, transforming every pay decision into a competitive advantage. $190+ billion in total compensation spend is managed in our workflows, and 70% of Forbes AI 50 use Pave to benchmark compensation.
- The future of pay is real-time & predictive, and we're making it happen right now.
- As part of the Data team at Pave you will help us redefine how companies understand the labor market and determine compensation.
- Even the most innovative tech companies in the world often use spreadsheets full of flawed statistics to determine how to pay.
Benefits
- Your Health, Fully Covered: Comprehensive medical, dental, and vision coverage for you and your family, with a range of options designed to meet you where you are.
- Time That's Actually Yours: Flexible PTO and the freedom to work from anywhere in the world for up to a month - because life doesn't pause, and neither should you.
- Room to Keep Growing: A quarterly education stipend to invest in the skills and knowledge that matter most to you.
- Support When It Matters Most: Robust parental leave so you can be fully present for the moments that count.
- Getting Here, Made Easier: A commuter stipend to support the in-person collaboration that makes great work happen.
Company info
- At Pave, we're building the industry's leading compensation platform, combining the world's largest real-time compensation dataset with deep expertise in AI and machine learning. Our platform is perfecting the art and science of pay to give 8,500+ companies unparalleled confidence in every compensation decision.
- Top tier companies like OpenAI, McDonald's, Instacart, Atlassian, Synopsys, Stripe, Databricks, and Waymo use Pave, transforming every pay decision into a competitive advantage. $190+ billion in total compensation spend is managed in our workflows, and 70% of Forbes AI 50 use Pave to benchmark compensation.
- The future of pay is real-time & predictive, and we're making it happen right now. We've raised $160M in funding from leading investors like Andreessen Horowitz, Index Ventures, Y Combinator, Bessemer Venture Partners, and Craft Ventures.
- The Data Team @ Pave
- breakfast, new hire welcomes, product updates, fireside chats, and yes, the occasional Kahoot.
- It's one of the things people notice when they join us - that we truly enjoy spending time together.
- Be Intellectually Honest - Truth over comfort. We face reality clearly and speak directly, even when it's hard.
- Play to Win - We're not here to participate. We're here to be the #1 compensation platform in the world, and we act like it.
- Uphold the Pave Platinum Standard - We hold ourselves to the highest bar - for our customers, our data, and each other.
- One Team - We win and lose together. Titles don't drive decisions here - shared goals do.
- Hug of Jawn - Hard to define, impossible to miss. Ask your recruiter.
- Build confidence in every compensation decision.
- We build software that transforms how companies pay their people - and we believe the team behind that software deserves the same thoughtfulness.
- If you're ready to help shape the future of compensation alongside people who are smart, humble, and genuinely motivated by the problem we're solving, we'd love to meet you.
This listing is sourced directly from Pave's careers page and normalized into a canonical job model.