Senior Data Engineer

AI-powered automation platform transforming insurance data and renewal processes for brokerages and agencies.
$125,000 - $150,000
Data
Senior Software Engineer
Hybrid
5+ years of experience
AI · Enterprise SaaS · Insurance

Description For Senior Data Engineer

Quandri is an innovative company transforming the insurance industry through AI-powered automation. Named one of LinkedIn's Top Canadian Startups in 2024, they're seeking a Senior Data Engineer to shape their data engineering environment from the ground up. The role offers an opportunity to work with cutting-edge technologies while making a significant impact in the insurance sector.

The position involves designing scalable data pipelines, implementing robust data architectures, and working with modern tools like Databricks and Apache Spark. The ideal candidate will collaborate with cross-functional teams, mentor other engineers, and drive technical excellence while maintaining a strong focus on data security and quality.

The company operates on a hybrid model, with their Vancouver office serving as a hub for collaboration three days a week. They've experienced impressive growth, with 3x ARR increase last year, and are backed by top US and Canadian venture capital investors. Their culture emphasizes customer-centricity, urgency in execution, curiosity, and ownership mentality.

The compensation package is competitive, ranging from $125,000 to $150,000, complemented by equity options and comprehensive benefits. The company values work-life balance, offering four weeks of vacation and a flexible 60-day work-from-anywhere policy annually.

Quandri is committed to diversity and inclusion, encouraging applications from candidates who might not meet all requirements but show potential for excellence. They're transforming how insurance brokerages operate, serving 5 of Canada's top 10 brokerages with their Renewal Intelligence Platform.

Last updated 3 months ago

Responsibilities For Senior Data Engineer

  • Design, develop, and maintain scalable data pipelines using Databricks, Apache Spark, and Data Lakes
  • Work with business and analytics teams to refine data models and enhance business intelligence tools
  • Implement quality control measures for data accuracy and security
  • Develop and maintain cloud-native databases
  • Mentor engineers on data best practices
  • Optimize data retrieval processes and enhance analytics dashboards

Requirements For Senior Data Engineer

Python
Kubernetes
  • 5+ years professional data engineering experience
  • Proficiency in Python and SQL
  • Experience with Apache Spark and Hadoop
  • Hands-on experience with AWS services
  • Data modeling and architecture design skills
  • ETL/ELT pipeline design expertise
  • Knowledge of Docker and Kubernetes
  • Experience with Apache Airflow and Kafka
  • Proficiency in visualization tools (Tableau, Power BI)
  • Strong problem-solving skills
  • Version control (Git) expertise
  • Strong leadership and communication abilities

Benefits For Senior Data Engineer

Equity
Medical Insurance
  • Employee stock options
  • Comprehensive health benefits
  • Lifestyle Spending Account
  • Four weeks paid vacation
  • 60 days work from anywhere policy

Interested in this job?

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