Analytics Engineer

Pave$100K — $140K *
Enterprise Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 4+ years of experience in Data/Analytics Engineering, preferably product-facing
  • Proficient with dbt and Airflow; familiar with cloud data warehouses
  • Collaborated with data scientists on ML workflows and model deployment
  • Proven ability to impact business outcomes through data product development
  • Strong understanding of how data decisions impact user experience

Responsibilities

  • Extend and maintain core data models for Pave's compensation products
  • Design scalable data pipelines with a focus on market data use cases
  • Implement monitoring and validation frameworks for data observability
  • Collaborate with cross-functional teams to convert product needs into actionable insights
  • Drive substantial revenue growth through data insights

Benefits

  • Comprehensive medical, dental, and vision coverage for employees and families
  • Flexible PTO and remote work options to support work-life balance
  • Meal stipends and fully stocked kitchens for convenience
  • Quarterly education stipends for continuous professional development
  • Robust parental leave for family support
  • Commuter stipends to ease travel for in-person collaboration
Full Job Description
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, It's What We Do.

At Pave, we believe compensation should be as thoughtful as the people we hire. 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 - not just your role. Your level and compensation are determined by your experience and how you show up throughout the interview process. We're always happy to walk you through how we think about leveling - just ask.
Benefits @ Pave

At Pave, growth isn't a perk - it's the point. As you develop, your role expands, your responsibilities deepen, and your compensation reflects the impact you're making.

What we offer:
  • 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.
  • Fuel for the Work: Lunch and dinner stipends plus fully stocked kitchens, so you can stay energized without thinking twice about it.
  • 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.

About Pave

Pave is a financial technology company that provides loans to consumers. The company was founded in 2012 and is headquartered in New York City. Pave offers personal loans to borrowers with limited credit histories or who may not qualify for traditional bank loans. The company uses a proprietary algorithm to assess creditworthiness and determine loan terms. Pave's loans are funded by institutional investors and are available to borrowers in 34 states. Pave was acquired by Cross River Bank in 2019.
Learn more about Pave
Size
50 employees
Industry
Founded
2012

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