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Senior Risk Analytics Engineer - Remote

Posted 6 weeks ago
Data Analysis
Full Time
Worldwide
$113,000 - $155,000/year

Overview

Pipe is building cutting edge embedded financial solutions to help small businesses and software companies build something bigger. We’re a remote-first team of problem solvers who build and ship at high velocity. We’re customer obsessed and leave our egos at the door. If this sounds fun, join us!

In Short

  • Hiring a Senior Analytics Engineer for the Risk team.
  • Focus on data modeling to support risk business analysts.
  • Design and develop data models using SQLMesh.
  • Create reports and dashboards to analyze credit risk.
  • Collaborate with Data Science and Data Engineering teams.
  • Experience with tools like Google BigQuery, Tableau, and SQL.
  • 3-5+ years of experience required.
  • Flexible work hours and vacation policy.
  • Excellent health, dental, and vision insurance.
  • Generous parental leave and support for family forming.

Requirements

  • 3-5+ years of experience writing SQL and Python.
  • 3+ years in database schema design and data modeling.
  • Experience building data models and pipelines.
  • Proficiency in engineering tools like Git and Jira.
  • Familiarity with data visualization tools.
  • Ability to communicate insights effectively.
  • Experience working in an agile team.
  • Curiosity and eagerness to learn.

Benefits

  • Best equipment for your job.
  • Flexible vacation and work hours.
  • Excellent health, dental, and vision insurance.
  • Generous parental leave.
  • Cultural values of authenticity and excellence.
Pipe Technologies logo

Pipe Technologies

Pipe Technologies is a modern capital platform designed to provide entrepreneurs and business owners with fast, frictionless, and dilution-free financing. By converting various forms of revenue into upfront working capital, Pipe helps companies enhance cash flow, scale operations, and grow on their own terms. The company emphasizes a collaborative and innovative engineering culture, focusing on building reliable and scalable cloud infrastructure while prioritizing developer productivity and user-centric solutions.

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