[Remote] Staff Data Engineer
Note: The job is a remote job and is open to candidates in USA. Root Inc. is a technology company revolutionizing personal insurance through telematics, fairness, and a modern customer experience. The Staff Data Engineer will lead financial data operations and complex technical initiatives, building accurate, scalable, and reliable data pipelines for commissions, incentive programs, and other financial workflows. The role partners with Finance, Product, Data Science, Analytics, and Engineering stakeholders to define strategy, guide technical roadmaps, and improve data infrastructure.
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
- Proven leadership of projects involving multiple teams across functional domains
- Excellent communication skills both with engineering colleagues and senior business leaders
- Expertise in Cloud Architecture - AWS Preferred
- Expertise in building large scale finance, payments, and commissions systems
Benefits
- Eligible for Competitive Bonus & Equity Offering
- Remote work from any location across the US
Company Overview
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