Pave
About Pave
At Pave, we build 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 empowers 8,500+ companies to make data‑driven pay decisions with confidence. Top tier customers include OpenAI, McDonald’s, Instacart, Atlassian, Synopsys, Stripe, Databricks, and Waymo. We’ve raised $160M from investors such as Andreessen Horowitz, Index Ventures, Y Combinator, Bessemer Venture Partners, and Craft Ventures. Role Overview
As a Data Engineer on Pave’s Data team, you will help redefine how companies understand the labor market and determine compensation. You will design scalable data pipelines, maintain core data models, and drive data observability to support production use cases across our product suite. What You’ll 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, 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. Collaborate cross‑functionally with data scientists, product managers, and software engineers to translate product needs into insights that support our thousands of customers. Help drive millions of dollars of revenue growth. What You’ll Bring
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. Bias for action – You’re a catalyst and an accelerator. You’re constantly unblocking yourself and others while making strategic trade‑offs. Experience – 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. Exposure to ML workflows – You’ve collaborated with data scientists or machine learning engineers to transform features, create training data sets, and deploy and monitor models. Track record of impact – You’ve shipped data products or infrastructure that meaningfully improved business outcomes and end user experiences. Compensation
Salary ranges for this position are: P3: $195,000 – $215,000 P4: $230,000 – $250,000 Life at Pave
Since founding in 2019, Pave has established a robust global footprint. We operate strategic regional hubs across New York City’s Flatiron District, Salt Lake City, and the United Kingdom. We cultivate a vibrant, collaborative workplace culture through a hybrid model, bringing teams together in person on Mondays, Tuesdays, Thursdays, and Fridays to foster innovation and strengthen professional relationships. Benefits
At Pave, career advancement drives everything—roles expand, responsibilities deepen, and compensation rises alongside your professional growth. Complete Health Coverage: Comprehensive medical, dental and vision coverage for you and your family. Unlimited PTO: Flexibility to take time off as you need. Meals & Snacks: Lunch & dinner stipends and fully stocked kitchens. Professional Development: Quarterly education stipend. Family Support: Robust parental leave. Commuter Assistance: Commuter stipend. Vision & Mission
Vision – Unlock a labor market built on trust. Mission – Build confidence in every compensation decision. Are you ready to help our customers make smarter, more effective compensation decisions?
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At Pave, we build 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 empowers 8,500+ companies to make data‑driven pay decisions with confidence. Top tier customers include OpenAI, McDonald’s, Instacart, Atlassian, Synopsys, Stripe, Databricks, and Waymo. We’ve raised $160M from investors such as Andreessen Horowitz, Index Ventures, Y Combinator, Bessemer Venture Partners, and Craft Ventures. Role Overview
As a Data Engineer on Pave’s Data team, you will help redefine how companies understand the labor market and determine compensation. You will design scalable data pipelines, maintain core data models, and drive data observability to support production use cases across our product suite. What You’ll 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, 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. Collaborate cross‑functionally with data scientists, product managers, and software engineers to translate product needs into insights that support our thousands of customers. Help drive millions of dollars of revenue growth. What You’ll Bring
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. Bias for action – You’re a catalyst and an accelerator. You’re constantly unblocking yourself and others while making strategic trade‑offs. Experience – 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. Exposure to ML workflows – You’ve collaborated with data scientists or machine learning engineers to transform features, create training data sets, and deploy and monitor models. Track record of impact – You’ve shipped data products or infrastructure that meaningfully improved business outcomes and end user experiences. Compensation
Salary ranges for this position are: P3: $195,000 – $215,000 P4: $230,000 – $250,000 Life at Pave
Since founding in 2019, Pave has established a robust global footprint. We operate strategic regional hubs across New York City’s Flatiron District, Salt Lake City, and the United Kingdom. We cultivate a vibrant, collaborative workplace culture through a hybrid model, bringing teams together in person on Mondays, Tuesdays, Thursdays, and Fridays to foster innovation and strengthen professional relationships. Benefits
At Pave, career advancement drives everything—roles expand, responsibilities deepen, and compensation rises alongside your professional growth. Complete Health Coverage: Comprehensive medical, dental and vision coverage for you and your family. Unlimited PTO: Flexibility to take time off as you need. Meals & Snacks: Lunch & dinner stipends and fully stocked kitchens. Professional Development: Quarterly education stipend. Family Support: Robust parental leave. Commuter Assistance: Commuter stipend. Vision & Mission
Vision – Unlock a labor market built on trust. Mission – Build confidence in every compensation decision. Are you ready to help our customers make smarter, more effective compensation decisions?
#J-18808-Ljbffr