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 environment