Analytics Engineer

Join Pave, a leading compensation intelligence platform, as an Analytics Engineer. In this role, you will extend and maintain core data models, design scalable data pipelines, and own data observability. You will collaborate cross-functionally with data scientists, product managers, and software engineers to translate product needs into insights that support our thousands of customers. This position offers a range of benefits, including top-tier health insurance, flexible time off, and startup equity.

• 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.
• Track record of impact - you've shipped data products or infrastructure that meaningfully improved business outcomes and end user experiences
• 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
• 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
• Scalability - You design and implement systems that are robust and scalable, ensuring they can efficiently handle future growth and evolving use-cases
• 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
• Bias for Action - You’re a catalyst and an accelerator. You’re constantly unblocking yourself and others while making strategic trade-offs