Note: The job is a remote job and is open to candidates in USA. Root Inc. is a technology company working to transform personal auto insurance through telematics, fairness-based pricing, and modern customer experiences. The Staff Data Engineer will lead financial data operations and platform initiatives, developing reliable, scalable pipelines and infrastructure for commissions, payments, incentives, analytics, and data science workflows. The role partners with Finance, Product, Data Science, Analytics, and Engineering stakeholders while providing technical leadership across complex initiatives.
Responsibilities
- Partner with Finance, Product, Data Science, Analytics, and experts in the Insurance group to set the strategy for the quarters to come
- Identify and socialize important technical initiatives that increase the effectiveness of our products, systems, and teams
- Coach and guide engineers on your team in planning experiments and projects that align with our strategic objectives
- Contribute code each development cycle to advance the impact of the team
- Lead by example in incident response ensuring we take action to continuously improve the resiliency of our systems
- Coordinate with Staff Engineers across the organization to establish and evangelize standards and best practices
Skills
- 8+ years of data engineering or software engineering experience with extensive expertise in data engineering
- Proficiency in Languages: Python, SQL
- Proficiency in Data & Infrastructure: Redshift, Spark, Apache Iceberg, Terraform
- Proficiency in Orchestration & Transformation: Airflow, dbt
- Expertise in Cloud Architecture - AWS Preferred
- Proven leadership of projects involving multiple teams across functional domains
- Excellent communication skills both with engineering colleagues and senior business leaders
- Expertise in building large scale finance, payments, and commissions systems
Benefits
- Eligible for Competitive Bonus & Equity Offering
- Root is a “work where it works best” company. This means we will support you working in whatever Remote Location that works best for you across the US.
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