Staff Data Engineer

LULA
·
Posted: 
August 3, 2023
·
Remote
Job Commitment
Full-time
Job Commitment
Senior
Job Function
Dev & Engineering
Salary
N/A
Job Commitment
Full-time
Experience Level
Senior
Workplace Type
Remote
Job Function

This job is closed

We regret to inform you that the job you were interested in has now been closed. Although this specific position is no longer available, we encourage you to continue exploring other opportunities on our job board.

About the position

Lula is a Series A, VC-backed insurtech startup based in Miami, FL, US that is revolutionizing the insurance industry by rethinking how insurance is priced, sold, and managed. They prioritize their identity as a tech company first and an insurance company second. Their goal is to upgrade the insurance industry's infrastructure to enable seamless integration of insurance into businesses, similar to payment processing. As a Data Engineer, you will be responsible for designing and building Lula's Data Platform, creating reliable and efficient data pipelines, optimizing data models, and influencing logging practices to support data flow. With at least 8 years of experience in data engineering, you will play a crucial role in shaping Lula's data infrastructure.

Responsibilities

  • Design and build LULA's Data Platform used by insurance and product teams
  • Build data pipelines that are reliable, efficient, testable, and maintainable
  • Design data models for optimal storage and retrieval and to meet critical product requirements
  • Understand and influence logging to support data flow and architect logging best practices where needed
  • Bring at least 8 years of experience in data engineering

Requirements

  • Design and build LULA's Data Platform used by insurance and product teams
  • Build data pipelines that are reliable, efficient, testable, and maintainable (with Fivetran, Talend, Matillion, Apache Airflow or similar)
  • Design data models for optimal storage and retrieval and to meet critical product requirements
  • Understand and influence logging to support data flow and architect logging best practices where needed
  • At least 8 years of experience in data engineering

Benefits

  • 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 environment

Job Application Resources

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Lula is building Stripe for Insurance. Lula's Insurance API eliminates the need for companies to build their own insurance infrastructure.
Location
Miami, FL
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101-250
Workplace Type
Industries
Developer APIs
FinTech
Insurance
Financial Services
Software
InsurTech
Open Roles
12
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LULA

Lula is building Stripe for Insurance. Lula's Insurance API eliminates the need for companies to build their own insurance infrastructure.
Company Overview

Lula is building Stripe for Insurance. Lula's Insurance API eliminates the need for companies to build their own insurance infrastructure.

Benefits
  • Develop a partnerships strategy focused both on financial gain and customer satisfaction
  • Work with new and existing partners to drive channel partner performance to drive sales
  • Oversee formation of affiliate marketing / referral partnerships in existing lines of business
  • Promote the company’s products/services addressing or predicting clients’ objectives
  • Understand and analyze channel partnership metrics to develop solutions to solve our partner's and customers needs
  • Own the entire partnership life-cycle including prospecting, contracts and performance
  • Work collaboratively with product, sales and customer teams to fulfill partnership goals
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