Lula is a Series A, VC-backed insurtech startup based in Miami, FL, US rethinking how insurance is priced, sold and managed to align with modern asset utilization. We identify as a tech company firstly (and secondly) and insurance company thirdly. Our ultimate goal is to “upgrade the pipes”of the insurance industry so that companies can integrate insurance into their business as easily as they integrate payment processing. We are backed by Founders Fund, Khosla Ventures and Softbank.

What you’ll be doing:

  • Designing and building LULA’s Data Platform used by insurance and product teams
  • Build data pipelines that are reliable, efficient, testable, & maintainable (with Fivetran, Talend, Matillion, Apache Airflow or similar)
  • Design our data models for optimal storage and retrieval and to meet critical product requirements
  • Understand and influence logging to support our data flow, architecting logging best practices where needed

What you’ll bring to the team:

  • At least 8 years of experience in data engineering
  • Technologies (dbt, BigQuery, Redshift, Postgres)
  • Proficiency with Python
  • Experience with custom ETL/ELT and programming/scripting language experience
  • Demonstrated experience using a data visualization tool such as Looker or Tableau to visualize and model raw data sets
  • Experience building and optimizing data pipelines, architecture, and data sets
  • Experience designing and deploying high performance systems with reliable monitoring and logging practices.
  • Previous experience in a fast-paced startup environmen
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