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PavePaveSan Francisco, CA

Analytics Engineer

Analytics Engineer responsible for extending core data models, designing scalable pipelines focused on market data, and owning data observability for Pave's compensation intelligence products. Requires 4+ years in data/analytics engineering, proficiency in dbt and Airflow, and experience with ML workflows in a product-facing role.

Salary not listed
Hybrid4+ YOEData Engineering

About the role

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 supported 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 & Benefits

Your total rewards package includes meaningful equity, best-in-class medical, dental, and vision coverage, unlimited PTO, and region-specific benefits designed around your life. Your level and compensation are determined by your experience and how you show up throughout the interview process.

  • Comprehensive medical, dental, and vision coverage for you and your family
  • Flexible PTO and the freedom to work from anywhere in the world for up to a month
  • Lunch and dinner stipends plus fully stocked kitchens
  • Quarterly education stipend
  • Robust parental leave
  • Commuter stipend

Skills

dbtAirflowData PipelinesData Modelingdata observabilitycloud data warehousesml workflowsData Infrastructure
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