Analytics Engineer

Pave • San Francisco, CA

69d • $195,000 - $250,000

About The Position

Pave's R&D pillar includes our data science, engineering, information technology, product design, product management, and security teams. This organization builds, maintains, and secures a platform used by more than 8,500+ client organizations. Our engineering team moves between ideation, scoping, and execution in a matter of days while closely iterating with cross-functional partners on requirements. At Pave, we use TypeScript, Node.js, and React, hosted on GCP. Compensation strategy is broken down into 3 pillars - compensation bands, planning workflows, and total rewards communication. We build products that make these processes seamless for customers. Over the next year, our roadmap is focused on enhancing the entire compensation lifecycle: from philosophy definition to market trend analysis, band adjustments, merit cycles, and employee communication. We're seeking passionate engineers who are excited about building robust, data-rich systems that simplify complex compensation processes at scale.

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
• Experience collaborating with data scientists or machine learning engineers to transform features, create training data sets, and deploy and monitor models
• Track record of shipping data products or infrastructure that meaningfully improved business outcomes and end user experiences

Nice To Haves

• Product Mindset - You want to be a core contributor in building and maintaining the data infrastructure for a product
• 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

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
• Collaborate cross-functionally with data scientists, product managers and software engineers to translate product needs into insights that supported our thousands of customers
• Help drive millions of dollars of revenue growth

Benefits

• Equity
• Top-notch medical, dental, and vision coverage
• Unlimited PTO policy
• Region-specific benefits

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Industry: Publishing Industries
• Number of Employees: 101-250 employees