Data Engineer at Flip building and maintaining scalable data pipelines for ingestion into BigQuery and collaborating with data analysts to enable insights.
About the role
- Senior Data Engineer building scalable data pipelines and supporting analytics for insurTech platform. Collaborating with cross-functional teams to drive data-driven decisions and improve services.
Responsibilities
- Build & maintain scalable data pipelines to transform raw insurance and platform data into reliable, structured datasets
- Develop data models and analytics integrations to support reporting, dashboards, and advanced analytics for Product, Finance, Insurance, and other teams
- Collaborate closely with our data scientist, engineers, product manager, and stakeholders from Sales, Insurance, and Finance
- Lead end-to-end data engineering projects: design, implement, test, deploy, document
- Drive data quality, governance, and best practices to ensure stakeholders can confidently make data-driven decisions
Requirements
- Strong Python and SQL skills
- Experience with building ETL workflows (Airflow) and relational databases (PostgreSQL)
- Familiarity with AWS and Docker
- Excellent communication skills; ability to collaborate across teams
- Passion for turning messy data into actionable insights
- Experience in insurance, mobility, or gig economy industries (Nice to Have)
Benefits
- Competitive salary and stock options
- A chance to build something new, from the early stages before major growth
- Hybrid setup, with flexible hours and work location
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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